WorldWideScience

Sample records for feedforward models trained

  1. Accelerated Training for Large Feedforward Neural Networks

    Science.gov (United States)

    Stepniewski, Slawomir W.; Jorgensen, Charles C.

    1998-01-01

    In this paper we introduce a new training algorithm, the scaled variable metric (SVM) method. Our approach attempts to increase the convergence rate of the modified variable metric method. It is also combined with the RBackprop algorithm, which computes the product of the matrix of second derivatives (Hessian) with an arbitrary vector. The RBackprop method allows us to avoid computationally expensive, direct line searches. In addition, it can be utilized in the new, 'predictive' updating technique of the inverse Hessian approximation. We have used directional slope testing to adjust the step size and found that this strategy works exceptionally well in conjunction with the Rbackprop algorithm. Some supplementary, but nevertheless important enhancements to the basic training scheme such as improved setting of a scaling factor for the variable metric update and computationally more efficient procedure for updating the inverse Hessian approximation are presented as well. We summarize by comparing the SVM method with four first- and second- order optimization algorithms including a very effective implementation of the Levenberg-Marquardt method. Our tests indicate promising computational speed gains of the new training technique, particularly for large feedforward networks, i.e., for problems where the training process may be the most laborious.

  2. Adaptive training of feedforward neural networks by Kalman filtering

    International Nuclear Information System (INIS)

    Ciftcioglu, Oe.

    1995-02-01

    Adaptive training of feedforward neural networks by Kalman filtering is described. Adaptive training is particularly important in estimation by neural network in real-time environmental where the trained network is used for system estimation while the network is further trained by means of the information provided by the experienced/exercised ongoing operation. As result of this, neural network adapts itself to a changing environment to perform its mission without recourse to re-training. The performance of the training method is demonstrated by means of actual process signals from a nuclear power plant. (orig.)

  3. Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm.

    Science.gov (United States)

    Wu, Haizhou; Zhou, Yongquan; Luo, Qifang; Basset, Mohamed Abdel

    2016-01-01

    Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm, which stimulates the symbiotic interaction strategies adopted by organisms to survive and propagate in the ecosystem. In the supervised learning area, it is a challenging task to present a satisfactory and efficient training algorithm for feedforward neural networks (FNNs). In this paper, SOS is employed as a new method for training FNNs. To investigate the performance of the aforementioned method, eight different datasets selected from the UCI machine learning repository are employed for experiment and the results are compared among seven metaheuristic algorithms. The results show that SOS performs better than other algorithms for training FNNs in terms of converging speed. It is also proven that an FNN trained by the method of SOS has better accuracy than most algorithms compared.

  4. Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks.

    Science.gov (United States)

    Ding, Weifu; Zhang, Jiangshe; Leung, Yee

    2016-10-01

    In this paper, we predict air pollutant concentration using a feedforward artificial neural network inspired by the mechanism of the human brain as a useful alternative to traditional statistical modeling techniques. The neural network is trained based on sparse response back-propagation in which only a small number of neurons respond to the specified stimulus simultaneously and provide a high convergence rate for the trained network, in addition to low energy consumption and greater generalization. Our method is evaluated on Hong Kong air monitoring station data and corresponding meteorological variables for which five air quality parameters were gathered at four monitoring stations in Hong Kong over 4 years (2012-2015). Our results show that our training method has more advantages in terms of the precision of the prediction, effectiveness, and generalization of traditional linear regression algorithms when compared with a feedforward artificial neural network trained using traditional back-propagation.

  5. Shared internal models for feedforward and feedback control.

    Science.gov (United States)

    Wagner, Mark J; Smith, Maurice A

    2008-10-15

    A child often learns to ride a bicycle in the driveway, free of unforeseen obstacles. Yet when she first rides in the street, we hope that if a car suddenly pulls out in front of her, she will combine her innate goal of avoiding an accident with her learned knowledge of the bicycle, and steer away or brake. In general, when we train to perform a new motor task, our learning is most robust if it updates the rules of online error correction to reflect the rules and goals of the new task. Here we provide direct evidence that, after a new feedforward motor adaptation, motor feedback responses to unanticipated errors become precisely task appropriate, even when such errors were never experienced during training. To study this ability, we asked how, if at all, do online responses to occasional, unanticipated force pulses during reaching arm movements change after adapting to altered arm dynamics? Specifically, do they change in a task-appropriate manner? In our task, subjects learned novel velocity-dependent dynamics. However, occasional force-pulse perturbations produced unanticipated changes in velocity. Therefore, after adaptation, task-appropriate responses to unanticipated pulses should compensate corresponding changes in velocity-dependent dynamics. We found that after adaptation, pulse responses precisely compensated these changes, although they were never trained to do so. These results provide evidence for a smart feedback controller which automatically produces responses specific to the learned dynamics of the current task. To accomplish this, the neural processes underlying feedback control must (1) be capable of accurate real-time state prediction for velocity via a forward model and (2) have access to recently learned changes in internal models of limb dynamics.

  6. A Robust Feedforward Model of the Olfactory System.

    Directory of Open Access Journals (Sweden)

    Yilun Zhang

    2016-04-01

    Full Text Available Most natural odors have sparse molecular composition. This makes the principles of compressed sensing potentially relevant to the structure of the olfactory code. Yet, the largely feedforward organization of the olfactory system precludes reconstruction using standard compressed sensing algorithms. To resolve this problem, recent theoretical work has shown that signal reconstruction could take place as a result of a low dimensional dynamical system converging to one of its attractor states. However, the dynamical aspects of optimization slowed down odor recognition and were also found to be susceptible to noise. Here we describe a feedforward model of the olfactory system that achieves both strong compression and fast reconstruction that is also robust to noise. A key feature of the proposed model is a specific relationship between how odors are represented at the glomeruli stage, which corresponds to a compression, and the connections from glomeruli to third-order neurons (neurons in the olfactory cortex of vertebrates or Kenyon cells in the mushroom body of insects, which in the model corresponds to reconstruction. We show that should this specific relationship hold true, the reconstruction will be both fast and robust to noise, and in particular to the false activation of glomeruli. The predicted connectivity rate from glomeruli to third-order neurons can be tested experimentally.

  7. Enhanced HMAX model with feedforward feature learning for multiclass categorization

    Directory of Open Access Journals (Sweden)

    Yinlin eLi

    2015-10-01

    Full Text Available In recent years, the interdisciplinary research between neuroscience and computer vision has promoted the development in both fields. Many biologically inspired visual models are proposed, and among them, the Hierarchical Max-pooling model (HMAX is a feedforward model mimicking the structures and functions of V1 to posterior inferotemporal (PIT layer of the primate visual cortex, which could generate a series of position- and scale- invariant features. However, it could be improved with attention modulation and memory processing, which are two important properties of the primate visual cortex. Thus, in this paper, based on recent biological research on the primate visual cortex, we still mimic the first 100-150 milliseconds of visual cognition to enhance the HMAX model, which mainly focuses on the unsupervised feedforward feature learning process. The main modifications are as follows: 1 To mimic the attention modulation mechanism of V1 layer, a bottom-up saliency map is computed in the S1 layer of the HMAX model, which can support the initial feature extraction for memory processing; 2 To mimic the learning, clustering and short-term memory to long-term memory conversion abilities of V2 and IT, an unsupervised iterative clustering method is used to learn clusters with multiscale middle level patches, which are taken as long-term memory; 3 Inspired by the multiple feature encoding mode of the primate visual cortex, information including color, orientation, and spatial position are encoded in different layers of the HMAX model progressively. By adding a softmax layer at the top of the model, multiclass categorization experiments can be conducted, and the results on Caltech101 show that the enhanced model with a smaller memory size exhibits higher accuracy than the original HMAX model, and could also achieve better accuracy than other unsupervised feature learning methods in multiclass categorization task.

  8. A Novel Feed-Forward Modeling System Leads to Sustained Improvements in Attention and Academic Performance.

    Science.gov (United States)

    McDermott, Ashley F; Rose, Maya; Norris, Troy; Gordon, Eric

    2016-01-28

    This study tested a novel feed-forward modeling (FFM) system as a nonpharmacological intervention for the treatment of ADHD children and the training of cognitive skills that improve academic performance. This study implemented a randomized, controlled, parallel design comparing this FFM with a nonpharmacological community care intervention. Improvements were measured on parent- and clinician-rated scales of ADHD symptomatology and on academic performance tests completed by the participant. Participants were followed for 3 months after training. Participants in the FFM training group showed significant improvements in ADHD symptomatology and academic performance, while the control group did not. Improvements from FFM were sustained 3 months later. The FFM appeared to be an effective intervention for the treatment of ADHD and improving academic performance. This FFM training intervention shows promise as a first-line treatment for ADHD while improving academic performance. © The Author(s) 2016.

  9. CUDA-accelerated genetic feedforward-ANN training for data mining

    International Nuclear Information System (INIS)

    Patulea, Catalin; Peace, Robert; Green, James

    2010-01-01

    We present an implementation of genetic algorithm (GA) training of feedforward artificial neural networks (ANNs) targeting commodity graphics cards (GPUs). By carefully mapping the problem onto the unique GPU architecture, we achieve order-of-magnitude speedup over a conventional CPU implementation. Furthermore, we show that the speedup is consistent across a wide range of data set sizes, making this implementation ideal for large data sets. This performance boost enables the genetic algorithm to search a larger subset of the solution space, which results in more accurate pattern classification. Finally, we demonstrate this method in the context of the 2009 UC San Diego Data Mining Contest, achieving a world-class lift on a data set of 94682 e-commerce transactions.

  10. CUDA-accelerated genetic feedforward-ANN training for data mining

    Energy Technology Data Exchange (ETDEWEB)

    Patulea, Catalin; Peace, Robert; Green, James, E-mail: cpatulea@sce.carleton.ca, E-mail: rpeace@sce.carleton.ca, E-mail: jrgreen@sce.carleton.ca [School of Systems and Computer Engineering, Carleton University, Ottawa, K1S 5B6 (Canada)

    2010-11-01

    We present an implementation of genetic algorithm (GA) training of feedforward artificial neural networks (ANNs) targeting commodity graphics cards (GPUs). By carefully mapping the problem onto the unique GPU architecture, we achieve order-of-magnitude speedup over a conventional CPU implementation. Furthermore, we show that the speedup is consistent across a wide range of data set sizes, making this implementation ideal for large data sets. This performance boost enables the genetic algorithm to search a larger subset of the solution space, which results in more accurate pattern classification. Finally, we demonstrate this method in the context of the 2009 UC San Diego Data Mining Contest, achieving a world-class lift on a data set of 94682 e-commerce transactions.

  11. Feedforward model based arm weight compensation with the rehabilitation robot ARMin.

    Science.gov (United States)

    Just, Fabian; Ozen, Ozhan; Tortora, Stefano; Riener, Robert; Rauter, Georg

    2017-07-01

    Highly impaired stroke patients at early stages of recovery are unable to generate enough muscle force to lift the weight of their own arm. Accordingly, task-related training is strongly limited or even impossible. However, as soon as partial or full arm weight support is provided, patients are enabled to perform arm rehabilitation training again throughout an increased workspace. In the literature, the current solutions for providing arm weight support are mostly mechanical. These systems have components that restrict the freedom of movement or entail additional disturbances. A scalable weight compensation for upper and lower arm that is online adjustable as well as generalizable to any robotic system is necessary. In this paper, a model-based feedforward weight compensation of upper and lower arm fulfilling these requirements is introduced. The proposed method is tested with the upper extremity rehabilitation robot ARMin V, but can be applied in any other actuated exoskeleton system. Experimental results were verified using EMG measurements. These results revealed that the proposed weight compensation reduces the effort of the subjects to 26% on average and more importantly throughout the entire workspace of the robot.

  12. Modeling total solar irradiance from PMOD composite using feed-forward neural networks

    Science.gov (United States)

    Tebabal, A.; Damtie, B.; Nigussie, M.; Bires, A.; Yizengaw, E.

    2015-12-01

    The variability of the solar activity dominates the variability of the earth's atmosphere, which affects human life and technology on earth. To understand the effects of solar activity on earth's atmosphere different efforts are underway to model the variations of total solar irradiance (TSI) associated to the variations of photometric sunspot index (PSI) and core to wing ratio of Mg II index, for example, linear regression approach. In this study, feed-forward neural networks (NNs) algorithm, which takes the non-linear relationship between the dependent and independent variables, has been implemented to model daily TSI using PSI and Mg II index. First, data between 1978 and 2008 have been used to train and validate NNs, through which the parameters such as weights and biases are estimated. Therefore, NNs has been used to predict TSI between the years 2008 and 2013 from test data. The output of NNs have been compared with PMOD composite TSI and result has shown good agreement. Linear correlation between NNs predicted TSI and PMOD composite is found to be about 0.9307 for the years between 1978 and 2013. This means that NNs predicted TSI from solar proxies explains about 86.6% of the variance of TSI for solar cycles 21-24, and over 90% during solar cycle 23. Predicting TSI using NNs further strengthens the view that surface magnetism indeed plays a dominant role in modulating solar irradiance.

  13. Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks

    OpenAIRE

    Khaouane,L.; Benkortbi,O.; Hanini,S.; Si-Moussa,C.

    2013-01-01

    This work investigates the use of artificial neural networks in modeling an industrial fermentation process of Pleuromutilin produced by Pleurotus mutilus in a fed-batch mode. Three feed-forward neural network models characterized by a similar structure (five neurons in the input layer, one hidden layer and one neuron in the output layer) are constructed and optimized with the aim to predict the evolution of three main bioprocess variables: biomass, substrate and product. Results show a good ...

  14. Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model.

    Science.gov (United States)

    Hardy, N F; Buonomano, Dean V

    2018-02-01

    Brain activity evolves through time, creating trajectories of activity that underlie sensorimotor processing, behavior, and learning and memory. Therefore, understanding the temporal nature of neural dynamics is essential to understanding brain function and behavior. In vivo studies have demonstrated that sequential transient activation of neurons can encode time. However, it remains unclear whether these patterns emerge from feedforward network architectures or from recurrent networks and, furthermore, what role network structure plays in timing. We address these issues using a recurrent neural network (RNN) model with distinct populations of excitatory and inhibitory units. Consistent with experimental data, a single RNN could autonomously produce multiple functionally feedforward trajectories, thus potentially encoding multiple timed motor patterns lasting up to several seconds. Importantly, the model accounted for Weber's law, a hallmark of timing behavior. Analysis of network connectivity revealed that efficiency-a measure of network interconnectedness-decreased as the number of stored trajectories increased. Additionally, the balance of excitation (E) and inhibition (I) shifted toward excitation during each unit's activation time, generating the prediction that observed sequential activity relies on dynamic control of the E/I balance. Our results establish for the first time that the same RNN can generate multiple functionally feedforward patterns of activity as a result of dynamic shifts in the E/I balance imposed by the connectome of the RNN. We conclude that recurrent network architectures account for sequential neural activity, as well as for a fundamental signature of timing behavior: Weber's law.

  15. Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control.

    Science.gov (United States)

    Reinhart, René Felix; Shareef, Zeeshan; Steil, Jochen Jakob

    2017-02-08

    Feed-forward model-based control relies on models of the controlled plant, e.g., in robotics on accurate knowledge of manipulator kinematics or dynamics. However, mechanical and analytical models do not capture all aspects of a plant's intrinsic properties and there remain unmodeled dynamics due to varying parameters, unmodeled friction or soft materials. In this context, machine learning is an alternative suitable technique to extract non-linear plant models from data. However, fully data-based models suffer from inaccuracies as well and are inefficient if they include learning of well known analytical models. This paper thus argues that feed-forward control based on hybrid models comprising an analytical model and a learned error model can significantly improve modeling accuracy. Hybrid modeling here serves the purpose to combine the best of the two modeling worlds. The hybrid modeling methodology is described and the approach is demonstrated for two typical problems in robotics, i.e., inverse kinematics control and computed torque control. The former is performed for a redundant soft robot and the latter for a rigid industrial robot with redundant degrees of freedom, where a complete analytical model is not available for any of the platforms.

  16. Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control †

    Science.gov (United States)

    Reinhart, René Felix; Shareef, Zeeshan; Steil, Jochen Jakob

    2017-01-01

    Feed-forward model-based control relies on models of the controlled plant, e.g., in robotics on accurate knowledge of manipulator kinematics or dynamics. However, mechanical and analytical models do not capture all aspects of a plant’s intrinsic properties and there remain unmodeled dynamics due to varying parameters, unmodeled friction or soft materials. In this context, machine learning is an alternative suitable technique to extract non-linear plant models from data. However, fully data-based models suffer from inaccuracies as well and are inefficient if they include learning of well known analytical models. This paper thus argues that feed-forward control based on hybrid models comprising an analytical model and a learned error model can significantly improve modeling accuracy. Hybrid modeling here serves the purpose to combine the best of the two modeling worlds. The hybrid modeling methodology is described and the approach is demonstrated for two typical problems in robotics, i.e., inverse kinematics control and computed torque control. The former is performed for a redundant soft robot and the latter for a rigid industrial robot with redundant degrees of freedom, where a complete analytical model is not available for any of the platforms. PMID:28208697

  17. Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control †

    Directory of Open Access Journals (Sweden)

    René Felix Reinhart

    2017-02-01

    Full Text Available Feed-forward model-based control relies on models of the controlled plant, e.g., in robotics on accurate knowledge of manipulator kinematics or dynamics. However, mechanical and analytical models do not capture all aspects of a plant’s intrinsic properties and there remain unmodeled dynamics due to varying parameters, unmodeled friction or soft materials. In this context, machine learning is an alternative suitable technique to extract non-linear plant models from data. However, fully data-based models suffer from inaccuracies as well and are inefficient if they include learning of well known analytical models. This paper thus argues that feed-forward control based on hybrid models comprising an analytical model and a learned error model can significantly improve modeling accuracy. Hybrid modeling here serves the purpose to combine the best of the two modeling worlds. The hybrid modeling methodology is described and the approach is demonstrated for two typical problems in robotics, i.e., inverse kinematics control and computed torque control. The former is performed for a redundant soft robot and the latter for a rigid industrial robot with redundant degrees of freedom, where a complete analytical model is not available for any of the platforms.

  18. Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks

    Directory of Open Access Journals (Sweden)

    L. Khaouane

    2013-03-01

    Full Text Available This work investigates the use of artificial neural networks in modeling an industrial fermentation process of Pleuromutilin produced by Pleurotus mutilus in a fed-batch mode. Three feed-forward neural network models characterized by a similar structure (five neurons in the input layer, one hidden layer and one neuron in the output layer are constructed and optimized with the aim to predict the evolution of three main bioprocess variables: biomass, substrate and product. Results show a good fit between the predicted and experimental values for each model (the root mean squared errors were 0.4624% - 0.1234 g/L and 0.0016 mg/g respectively. Furthermore, the comparison between the optimized models and the unstructured kinetic models in terms of simulation results shows that neural network models gave more significant results. These results encourage further studies to integrate the mathematical formulae extracted from these models into an industrial control loop of the process.

  19. Direct adaptive feedforward compensation of narrowband disturbances without explicit identification of the secondary path model

    Science.gov (United States)

    Zech, Philipp; Lato, Victorio; Rinderknecht, Stephan

    2017-08-01

    The effectiveness of common algorithms for feedforward compensation of narrowband disturbance depends mainly on the model quality. To avoid this dependency several direct adaptive control algorithms without explicitly identified secondary path models have been developed over the last years. However an overview of their properties and a comparison of their performances in a standardized benchmark is still lacking. In this paper the three most promising algorithms are modified for narrowband feedforward vibration control for the use in rotating machinery. As in this application the reference signal is generated using the frequency measurement from a speed sensor it can be assumed that there is no coupling between reference measurement and the secondary path. First the algorithms are tested in simulation, then they are implemented on a test rig for active vibration control of unbalance induced rotor vibration. In simulation as well as for the test rig the performances of the algorithms are compared to each other. Advantages and drawbacks of the algorithms are discussed and practical instructions for implementation are given. The work is intended to serve as starting point and motivation for future research in this field of study.

  20. Force control of a magnetorheological damper using an elementary hysteresis model-based feedforward neural network

    International Nuclear Information System (INIS)

    Ekkachai, Kittipong; Nilkhamhang, Itthisek; Tungpimolrut, Kanokvate

    2013-01-01

    An inverse controller is proposed for a magnetorheological (MR) damper that consists of a hysteresis model and a voltage controller. The force characteristics of the MR damper caused by excitation signals are represented by a feedforward neural network (FNN) with an elementary hysteresis model (EHM). The voltage controller is constructed using another FNN to calculate a suitable input signal that will allow the MR damper to produce the desired damping force. The performance of the proposed EHM-based FNN controller is experimentally compared to existing control methodologies, such as clipped-optimal control, signum function control, conventional FNN, and recurrent neural network with displacement or velocity inputs. The results show that the proposed controller, which does not require force feedback to implement, provides excellent accuracy, fast response time, and lower energy consumption. (paper)

  1. Feedforward self-modeling enhances skill acquisition in children learning trampoline skills

    Directory of Open Access Journals (Sweden)

    Diane M. Ste-Marie

    2011-07-01

    Full Text Available The purpose of this research was to examine whether children would benefit from a feedforward self-modeling (FSM video and to explore possible explanatory mechanisms for the potential benefits, using a self-regulation framework. To this end, children were involved in learning two five-skill trampoline routines. For one of the routines, a FSM video was provided during acquisition, whereas only verbal instructions were provided for the alternate routine. The FSM involved editing video footage such that it showed the learner performing the trampoline routine at a higher skill level than their current capability. Analyses of the data showed that while physical performance benefits were observed for the routine that was learned with the FSM video, no differences were obtained in relation to the self-regulatory measures. Thus, the FSM video enhanced motor skill acquisition, but this could not be explained by changes to the varied self-regulatory processes examined.

  2. Modeling and inverse feedforward control for conducting polymer actuators with hysteresis

    International Nuclear Information System (INIS)

    Wang, Xiangjiang; Alici, Gursel; Tan, Xiaobo

    2014-01-01

    Conducting polymer actuators are biocompatible with a small footprint, and operate in air or liquid media under low actuation voltages. This makes them excellent actuators for macro- and micro-manipulation devices, however, their positioning ability or accuracy is adversely affected by their hysteresis non-linearity under open-loop control strategies. In this paper, we establish a hysteresis model for conducting polymer actuators, based on a rate-independent hysteresis model known as the Duhem model. The hysteresis model is experimentally identified and integrated with the linear dynamics of the actuator. This combined model is inverted to control the displacement of the tri-layer actuators considered in this study, without using any external feedback. The inversion requires an inverse hysteresis model which was experimentally identified using an inverse neural network model. Experimental results show that the position tracking errors are reduced by more than 50% when the hysteresis inverse model is incorporated into an inversion-based feedforward controller, indicating the potential of the proposed method in enabling wider use of such smart actuators. (paper)

  3. Interpretation of correlated neural variability from models of feed-forward and recurrent circuits

    Science.gov (United States)

    2018-01-01

    Neural populations respond to the repeated presentations of a sensory stimulus with correlated variability. These correlations have been studied in detail, with respect to their mechanistic origin, as well as their influence on stimulus discrimination and on the performance of population codes. A number of theoretical studies have endeavored to link network architecture to the nature of the correlations in neural activity. Here, we contribute to this effort: in models of circuits of stochastic neurons, we elucidate the implications of various network architectures—recurrent connections, shared feed-forward projections, and shared gain fluctuations—on the stimulus dependence in correlations. Specifically, we derive mathematical relations that specify the dependence of population-averaged covariances on firing rates, for different network architectures. In turn, these relations can be used to analyze data on population activity. We examine recordings from neural populations in mouse auditory cortex. We find that a recurrent network model with random effective connections captures the observed statistics. Furthermore, using our circuit model, we investigate the relation between network parameters, correlations, and how well different stimuli can be discriminated from one another based on the population activity. As such, our approach allows us to relate properties of the neural circuit to information processing. PMID:29408930

  4. Flatness-based model inverse for feed-forward braking control

    Science.gov (United States)

    de Vries, Edwin; Fehn, Achim; Rixen, Daniel

    2010-12-01

    For modern cars an increasing number of driver assistance systems have been developed. Some of these systems interfere/assist with the braking of a car. Here, a brake actuation algorithm for each individual wheel that can respond to both driver inputs and artificial vehicle deceleration set points is developed. The algorithm consists of a feed-forward control that ensures, within the modelled system plant, the optimal behaviour of the vehicle. For the quarter-car model with LuGre-tyre behavioural model, an inverse model can be derived using v x as the 'flat output', that is, the input for the inverse model. A number of time derivatives of the flat output are required to calculate the model input, brake torque. Polynomial trajectory planning provides the needed time derivatives of the deceleration request. The transition time of the planning can be adjusted to meet actuator constraints. It is shown that the output of the trajectory planning would ripple and introduce a time delay when a gradual continuous increase of deceleration is requested by the driver. Derivative filters are then considered: the Bessel filter provides the best symmetry in its step response. A filter of same order and with negative real-poles is also used, exhibiting no overshoot nor ringing. For these reasons, the 'real-poles' filter would be preferred over the Bessel filter. The half-car model can be used to predict the change in normal load on the front and rear axle due to the pitching of the vehicle. The anticipated dynamic variation of the wheel load can be included in the inverse model, even though it is based on a quarter-car. Brake force distribution proportional to normal load is established. It provides more natural and simpler equations than a fixed force ratio strategy.

  5. Feedforward and feedback projections of caudal belt and parabelt areas of auditory cortex: refining the hierarchical model

    Directory of Open Access Journals (Sweden)

    Troy A Hackett

    2014-04-01

    Full Text Available Our working model of the primate auditory cortex recognizes three major regions (core, belt, parabelt, subdivided into thirteen areas. The connections between areas are topographically ordered in a manner consistent with information flow along two major anatomical axes: core-belt-parabelt and caudal-rostral. Remarkably, most of the connections supporting this model were revealed using retrograde tracing techniques. Little is known about laminar circuitry, as anterograde tracing of axon terminations has rarely been used. The purpose of the present study was to examine the laminar projections of three areas of auditory cortex, pursuant to analysis of all areas. The selected areas were: middle lateral belt (ML; caudomedial belt (CM; and caudal parabelt (CPB. Injections of anterograde tracers yielded data consistent with major features of our model, and also new findings that compel modifications. Results supporting the model were: 1 feedforward projection from ML and CM terminated in CPB; 2 feedforward projections from ML and CPB terminated in rostral areas of the belt and parabelt; and 3 feedback projections typified inputs to the core region from belt and parabelt. At odds with the model was the convergence of feedforward inputs into rostral medial belt from ML and CPB. This was unexpected since CPB is at a higher stage of the processing hierarchy, with mainly feedback projections to all other belt areas. Lastly, extending the model, feedforward projections from CM, ML, and CPB overlapped in the temporal parietal occipital area (TPO in the superior temporal sulcus, indicating significant auditory influence on sensory processing in this region. The combined results refine our working model and highlight the need to complete studies of the laminar inputs to all areas of auditory cortex. Their documentation is essential for developing informed hypotheses about the neurophysiological influences of inputs to each layer and area.

  6. Feedforward Object-Vision Models Only Tolerate Small Image Variations Compared to Human

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    Masoud eGhodrati

    2014-07-01

    Full Text Available Invariant object recognition is a remarkable ability of primates' visual system that its underlying mechanism has constantly been under intense investigations. Computational modelling is a valuable tool toward understanding the processes involved in invariant object recognition. Although recent computational models have shown outstanding performances on challenging image databases, they fail to perform well when images with more complex variations of the same object are applied to them. Studies have shown that making sparse representation of objects by extracting more informative visual features through a feedforward sweep can lead to higher recognition performances. Here, however, we show that when the complexity of image variations is high, even this approach results in poor performance compared to humans. To assess the performance of models and humans in invariant object recognition tasks, we built a parametrically controlled image database consisting of several object categories varied in different dimensions and levels, rendered from 3D planes. Comparing the performance of several object recognition models with human observers shows that only in low-level image variations the models perform similar to humans in categorization tasks. Furthermore, the results of our behavioral experiments demonstrate that, even under difficult experimental conditions (i.e. briefly presented masked stimuli with complex image variations, human observers performed outstandingly well, suggesting that the models are still far from resembling humans in invariant object recognition. Taken together, we suggest that learning sparse informative visual features, although desirable, is not a complete solution for future progresses in object-vision modelling. We show that this approach is not of significant help in solving the computational crux of object recognition (that is invariant object recognition when the identity-preserving image variations become more complex.

  7. Predictive zero-dimensional combustion model for DI diesel engine feed-forward control

    International Nuclear Information System (INIS)

    Catania, Andrea Emilio; Finesso, Roberto; Spessa, Ezio

    2011-01-01

    Highlights: → Zero-dimensional low-throughput combustion model for real-time control in diesel engine applications. → Feed-forward control of MFB50, p max and IMEP in both conventional and PCCI combustion modes. → Capability of resolving the contribution to HRR of each injection pulse in multiple injection schedule. → Ignition delay and model parameters estimated through physically consistent and easy-to-tune correlations. - Abstract: An innovative zero-dimensional predictive combustion model has been developed for the estimation of HRR (heat release rate) and in-cylinder pressure traces. This model has been assessed and applied to conventional and PCCI (premixed charge compression ignition) DI diesel engines for model-based feed-forward control purposes. The injection rate profile is calculated on the basis of the injected fuel quantities and on the injection parameters, such as SOI (start of injection), ET (energizing time), and DT (dwell time), taking the injector NOD (nozzle opening delay) and NCD (nozzle closure delay) into account. The injection rate profile in turn allows the released chemical energy Q ch to be estimated. The approach starts from the assumption that, at each time instant, the HRR is proportional to the energy associated with the accumulated fuel mass in the combustion chamber. The main novelties of the proposed approach consist of the method that is adopted to estimate the fuel ignition delay and of injection rate splitting for HRR estimation. The procedure allows an accurate calculation to be made of the different combustion parameters that are important for engine calibration, such as SOC (start of combustion) and MFB50 (50% of fuel mass fraction burned angle). On the basis of an estimation of the fuel released chemical energy, of the heat globally exchanged from the charge with the walls and of the energy associated with the fuel evaporation, the charge net energy is calculated, for a subsequent evaluation of the in

  8. A computational feedforward model predicts categorization of masked emotional body language for longer, but not for shorter, latencies.

    Science.gov (United States)

    Stienen, Bernard M C; Schindler, Konrad; de Gelder, Beatrice

    2012-07-01

    Given the presence of massive feedback loops in brain networks, it is difficult to disentangle the contribution of feedforward and feedback processing to the recognition of visual stimuli, in this case, of emotional body expressions. The aim of the work presented in this letter is to shed light on how well feedforward processing explains rapid categorization of this important class of stimuli. By means of parametric masking, it may be possible to control the contribution of feedback activity in human participants. A close comparison is presented between human recognition performance and the performance of a computational neural model that exclusively modeled feedforward processing and was engineered to fulfill the computational requirements of recognition. Results show that the longer the stimulus onset asynchrony (SOA), the closer the performance of the human participants was to the values predicted by the model, with an optimum at an SOA of 100 ms. At short SOA latencies, human performance deteriorated, but the categorization of the emotional expressions was still above baseline. The data suggest that, although theoretically, feedback arising from inferotemporal cortex is likely to be blocked when the SOA is 100 ms, human participants still seem to rely on more local visual feedback processing to equal the model's performance.

  9. Using Upper Layer Weights to Efficiently Construct and Train Feedforward Neural Networks Executing Backpropagation

    Science.gov (United States)

    2011-03-01

    are made of three different meats (20 Beef, 17 “ Meat ”, & 17 Poultry ). The data set containing the following features: • $/oz • $/lb protein...structure in minimal training time. Data sets used include an XOR data set, Fisher’s iris data set, and a financial industry data set, among others. v...4.2.3. Finance Industry Data Set ...................................................................................................... 38 4.2.4. Hot

  10. Toward the training of feed-forward neural networks with the D-optimum input sequence.

    Science.gov (United States)

    Witczak, Marcin

    2006-03-01

    The problem under consideration is to obtain a measurement schedule for training neural networks. This task is perceived as an experimental design in a given design space that is obtained in such a way as to minimize the difference between the neural network and the system being considered. This difference can be expressed in many different ways and one of them, namely, the D-optimality criterion is used in this paper. In particular, the paper presents a unified and comprehensive treatment of this problem by discussing the existing and previously unpublished properties of the optimum experimental design (OED) for neural networks. The consequences of the above properties are discussed as well. A hybrid algorithm that can be used for both the training and data development of neural networks is another important contribution of this paper. A careful analysis of the algorithm is presented and its comprehensive convergence analysis with the help of the Lyapunov method are given. The paper contains a number of numerical examples that justify the application of the OED theory for neural networks. Moreover, an industrial application example is given that deals with the valve actuator.

  11. Spike-timing computation properties of a feed-forward neural network model

    Directory of Open Access Journals (Sweden)

    Drew Benjamin Sinha

    2014-01-01

    Full Text Available Brain function is characterized by dynamical interactions among networks of neurons. These interactions are mediated by network topology at many scales ranging from microcircuits to brain areas. Understanding how networks operate can be aided by understanding how the transformation of inputs depends upon network connectivity patterns, e.g. serial and parallel pathways. To tractably determine how single synapses or groups of synapses in such pathways shape transformations, we modeled feed-forward networks of 7-22 neurons in which synaptic strength changed according to a spike-timing dependent plasticity rule. We investigated how activity varied when dynamics were perturbed by an activity-dependent electrical stimulation protocol (spike-triggered stimulation; STS in networks of different topologies and background input correlations. STS can successfully reorganize functional brain networks in vivo, but with a variability in effectiveness that may derive partially from the underlying network topology. In a simulated network with a single disynaptic pathway driven by uncorrelated background activity, structured spike-timing relationships between polysynaptically connected neurons were not observed. When background activity was correlated or parallel disynaptic pathways were added, however, robust polysynaptic spike timing relationships were observed, and application of STS yielded predictable changes in synaptic strengths and spike-timing relationships. These observations suggest that precise input-related or topologically induced temporal relationships in network activity are necessary for polysynaptic signal propagation. Such constraints for polysynaptic computation suggest potential roles for higher-order topological structure in network organization, such as maintaining polysynaptic correlation in the face of relatively weak synapses.

  12. Modeling of feed-forward control using the partial least squares regression method in the tablet compression process.

    Science.gov (United States)

    Hattori, Yusuke; Otsuka, Makoto

    2017-05-30

    In the pharmaceutical industry, the implementation of continuous manufacturing has been widely promoted in lieu of the traditional batch manufacturing approach. More specially, in recent years, the innovative concept of feed-forward control has been introduced in relation to process analytical technology. In the present study, we successfully developed a feed-forward control model for the tablet compression process by integrating data obtained from near-infrared (NIR) spectra and the physical properties of granules. In the pharmaceutical industry, batch manufacturing routinely allows for the preparation of granules with the desired properties through the manual control of process parameters. On the other hand, continuous manufacturing demands the automatic determination of these process parameters. Here, we proposed the development of a control model using the partial least squares regression (PLSR) method. The most significant feature of this method is the use of dataset integrating both the NIR spectra and the physical properties of the granules. Using our model, we determined that the properties of products, such as tablet weight and thickness, need to be included as independent variables in the PLSR analysis in order to predict unknown process parameters. Copyright © 2017 Elsevier B.V. All rights reserved.

  13. Development of a feed-forward controller for a tracking telescope

    Science.gov (United States)

    Allen, John S.; Stufflebeam, Joseph L.; Feller, Dan

    2004-07-01

    This paper develops a State Space model of a feed-forward control system in the frequency domain, and time domain. The results of the mathematical model are implemented and the responses of the Elevation and Azimuth servo controller in a tracking telescope called a Cine-Sextant developed for the Utah Test and Training Range.

  14. Forecasting of IBOVESPA returns using feedforward evolutionary artificial neural networks

    Directory of Open Access Journals (Sweden)

    Edgar Leite dos Santos Filho

    2011-12-01

    Full Text Available Facing the challenges of anticipating financial market uncertainties and movements, and the necessity of taking buy or sell decisions supported by rational methods, market traders found in statistics and econometrics methods, the base to support their decisions. In several scientific papers about forecasting financial time series, method selection keeps as central concern. This paper compares the performance of evolutionary feedforward artificial neural network (EANN and an AR+GARCH model, for one step ahead forecasting of IBOVESPA returns. The EANN is trained by self-adapting differential evolution algorithm and AR+GARCH model is adjusted to be used as performance reference. The root mean square error (RMSE and U-Theil inequality coefficient were used as performance metrics. Simulation results showed  EANN feedforward achieved better results, fit better and captured the nonlinear behavior of returns.

  15. Fruit Classification by Wavelet-Entropy and Feedforward Neural Network Trained by Fitness-Scaled Chaotic ABC and Biogeography-Based Optimization

    Directory of Open Access Journals (Sweden)

    Shuihua Wang

    2015-08-01

    Full Text Available Fruit classification is quite difficult because of the various categories and similar shapes and features of fruit. In this work, we proposed two novel machine-learning based classification methods. The developed system consists of wavelet entropy (WE, principal component analysis (PCA, feedforward neural network (FNN trained by fitness-scaled chaotic artificial bee colony (FSCABC and biogeography-based optimization (BBO, respectively. The K-fold stratified cross validation (SCV was utilized for statistical analysis. The classification performance for 1653 fruit images from 18 categories showed that the proposed “WE + PCA + FSCABC-FNN” and “WE + PCA + BBO-FNN” methods achieve the same accuracy of 89.5%, higher than state-of-the-art approaches: “(CH + MP + US + PCA + GA-FNN ” of 84.8%, “(CH + MP + US + PCA + PSO-FNN” of 87.9%, “(CH + MP + US + PCA + ABC-FNN” of 85.4%, “(CH + MP + US + PCA + kSVM” of 88.2%, and “(CH + MP + US + PCA + FSCABC-FNN” of 89.1%. Besides, our methods used only 12 features, less than the number of features used by other methods. Therefore, the proposed methods are effective for fruit classification.

  16. The role of the feedforward paradigm in cognitive psychology.

    Science.gov (United States)

    Basso, Demis; Olivetti Belardinelli, Marta

    2006-06-01

    Feedforward control is a process adjusting behaviour in a continuative way. Feedforward takes place when an equilibrium state is disrupted and the system has to automatically retrieve the homeostatic stable state. It also occurs when a perturbation is previewed and must be eliminated in order to achieve a desired goal. According to the most general definition, a feedforward process operates by fixing the future representation of the desired state, the achieving of which stops the process. Then, feedforward works by means of the refinement determined by successive comparisons between the actual and target products. In its applications, a feedforward process is thought to be modulated by the subject's purpose and the environmental state. Over the years, the feedforward process has assumed different connotations in several contests of cognitive psychology. An overview of the research fields in psychology that significantly progressed with the introduction of a feedforward paradigm is provided by: (a) reviewing models in which the feedforward concept plays a fundamental role in the system control; (b) examining critical experiments related to the interaction of feedforward and feedback processes; (c) evidencing practical applications for some of the presented feedforward-based architectures.

  17. Multiobjective training of artificial neural networks for rainfall-runoff modeling

    NARCIS (Netherlands)

    De Vos, N.J.; Rientjes, T.H.M.

    2008-01-01

    This paper presents results on the application of various optimization algorithms for the training of artificial neural network rainfall-runoff models. Multilayered feed-forward networks for forecasting discharge from two mesoscale catchments in different climatic regions have been developed for

  18. Stochastic resonance in feedforward acupuncture networks

    Science.gov (United States)

    Qin, Ying-Mei; Wang, Jiang; Men, Cong; Deng, Bin; Wei, Xi-Le; Yu, Hai-Tao; Chan, Wai-Lok

    2014-10-01

    Effects of noises and some other network properties on the weak signal propagation are studied systematically in feedforward acupuncture networks (FFN) based on FitzHugh-Nagumo neuron model. It is found that noises with medium intensity can enhance signal propagation and this effect can be further increased by the feedforward network structure. Resonant properties in the noisy network can also be altered by several network parameters, such as heterogeneity, synapse features, and feedback connections. These results may also provide a novel potential explanation for the propagation of acupuncture signal.

  19. Feedforward Approximations to Dynamic Recurrent Network Architectures.

    Science.gov (United States)

    Muir, Dylan R

    2018-02-01

    Recurrent neural network architectures can have useful computational properties, with complex temporal dynamics and input-sensitive attractor states. However, evaluation of recurrent dynamic architectures requires solving systems of differential equations, and the number of evaluations required to determine their response to a given input can vary with the input or can be indeterminate altogether in the case of oscillations or instability. In feedforward networks, by contrast, only a single pass through the network is needed to determine the response to a given input. Modern machine learning systems are designed to operate efficiently on feedforward architectures. We hypothesized that two-layer feedforward architectures with simple, deterministic dynamics could approximate the responses of single-layer recurrent network architectures. By identifying the fixed-point responses of a given recurrent network, we trained two-layer networks to directly approximate the fixed-point response to a given input. These feedforward networks then embodied useful computations, including competitive interactions, information transformations, and noise rejection. Our approach was able to find useful approximations to recurrent networks, which can then be evaluated in linear and deterministic time complexity.

  20. Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm

    Directory of Open Access Journals (Sweden)

    Jie-Sheng Wang

    2015-01-01

    Full Text Available For predicting the key technology indicators (concentrate grade and tailings recovery rate of flotation process, a feed-forward neural network (FNN based soft-sensor model optimized by the hybrid algorithm combining particle swarm optimization (PSO algorithm and gravitational search algorithm (GSA is proposed. Although GSA has better optimization capability, it has slow convergence velocity and is easy to fall into local optimum. So in this paper, the velocity vector and position vector of GSA are adjusted by PSO algorithm in order to improve its convergence speed and prediction accuracy. Finally, the proposed hybrid algorithm is adopted to optimize the parameters of FNN soft-sensor model. Simulation results show that the model has better generalization and prediction accuracy for the concentrate grade and tailings recovery rate to meet the online soft-sensor requirements of the real-time control in the flotation process.

  1. Training effectiveness evaluation model

    International Nuclear Information System (INIS)

    Penrose, J.B.

    1993-01-01

    NAESCO's Training Effectiveness Evaluation Model (TEEM) integrates existing evaluation procedures with new procedures. The new procedures are designed to measure training impact on organizational productivity. TEEM seeks to enhance organizational productivity through proactive training focused on operation results. These results can be identified and measured by establishing and tracking performance indicators. Relating training to organizational productivity is not easy. TEEM is a team process. It offers strategies to assess more effectively organizational costs and benefits of training. TEEM is one organization's attempt to refine, manage and extend its training evaluation program

  2. Nonlinear Feedforward Control for Wind Disturbance Rejection on Autonomous Helicopter

    DEFF Research Database (Denmark)

    Bisgaard, Morten; la Cour-Harbo, Anders; A. Danapalasingam, Kumeresan

    2010-01-01

    This paper presents the design and verification of a model based nonlinear feedforward controller for wind disturbance rejection on autonomous helicopters. The feedforward control is based on a helicopter model that is derived using a number of carefully chosen simplifications to make it suitable...... for the purpose. The model is inverted for the calculation of rotor collective and cyclic pitch angles given the wind disturbance. The control strategy is then applied on a small helicopter in a controlled wind environment and flight tests demonstrates the effectiveness and advantage of the feedforward controller....

  3. Research on modeling of the agile satellite using a single gimbal magnetically suspended CMG and the disturbance feedforward compensation for rotors.

    Science.gov (United States)

    Cui, Peiling; Yan, Ning

    2012-12-12

    The magnetically suspended Control Moment Gyroscope (CMG) has the advantages of long-life, micro-vibration and being non-lubricating, and is the ideal actuator for agile maneuver satellite attitude control. However, the stability of the rotor in magnetic bearing and the precision of the output torque of a magnetically suspended CMG are affected by the rapid maneuvers of satellites. In this paper, a dynamic model of the agile satellite including a magnetically suspended single gimbal control moment gyroscope is built and the equivalent disturbance torque effected on the rotor is obtained. The feedforward compensation control method is used to depress the disturbance on the rotor. Simulation results are given to show that the rotor displacement is obviously reduced.

  4. Research on Modeling of the Agile Satellite Using a Single Gimbal Magnetically Suspended CMG and the Disturbance Feedforward Compensation for Rotors

    Directory of Open Access Journals (Sweden)

    Ning Yan

    2012-12-01

    Full Text Available The magnetically suspended Control Moment Gyroscope (CMG has the advantages of long-life, micro-vibration and being non-lubricating, and is the ideal actuator for agile maneuver satellite attitude control. However, the stability of the rotor in magnetic bearing and the precision of the output torque of a magnetically suspended CMG are affected by the rapid maneuvers of satellites. In this paper, a dynamic model of the agile satellite including a magnetically suspended single gimbal control moment gyroscope is built and the equivalent disturbance torque effected on the rotor is obtained. The feedforward compensation control method is used to depress the disturbance on the rotor. Simulation results are given to show that the rotor displacement is obviously reduced.

  5. Decoding small surface codes with feedforward neural networks

    Science.gov (United States)

    Varsamopoulos, Savvas; Criger, Ben; Bertels, Koen

    2018-01-01

    Surface codes reach high error thresholds when decoded with known algorithms, but the decoding time will likely exceed the available time budget, especially for near-term implementations. To decrease the decoding time, we reduce the decoding problem to a classification problem that a feedforward neural network can solve. We investigate quantum error correction and fault tolerance at small code distances using neural network-based decoders, demonstrating that the neural network can generalize to inputs that were not provided during training and that they can reach similar or better decoding performance compared to previous algorithms. We conclude by discussing the time required by a feedforward neural network decoder in hardware.

  6. Feed-forward and generalized regression neural networks in modeling feeding behavior of pigs in the grow-finishing phase

    Science.gov (United States)

    Feeding patterns in group-housed grow-finishing pigs have been investigated for use in management decisions, identifying sick animals, and determining genetic differences within a herd. Development of models to predict swine feeding behaviour has been limited due the large number of potential enviro...

  7. Extended Model-Based Feedforward Compensation in L1 Adaptive Control for Mechanical Manipulators: Design and Experiments

    Directory of Open Access Journals (Sweden)

    Moussab eBennehar

    2015-12-01

    Full Text Available This paper deals with a new control scheme for Parallel Kinematic Manipulators (PKMs based on the L1 adaptive control theory. The original L1 adaptive controller is extended by including an adaptive loop based on the dynamics of the PKM. The additional model-based term is in charge of the compensation of the modeled nonlinear dynamics in the aim of improving the tracking performance. Moreover, the proposed controller is enhanced to reduce the internal forces, which may appear in the case of Redundantly Actuated PKMs (RA-PKMs. The generated control inputs are first regulated through a projection mechanism that reduces the antagonistic internal forces, before being applied to the manipulator. To validate the proposed controller and to show its effectiveness, real-time experiments are conducted on a new four degrees-of-freedom (4-DOFs RA-PKM developed in our laboratory.

  8. Self-tuning MIMO disturbance feedforward control for active hard-mounted vibration isolators

    NARCIS (Netherlands)

    Beijen, M.A.; Heertjes, M.F.; Van Dijk, J.; Hakvoort, W. B.J.

    2018-01-01

    © 2017 Elsevier Ltd This paper proposes a multi-input multi-output (MIMO) disturbance feedforward controller to improve the rejection of floor vibrations in active vibration isolation systems for high-precision machinery. To minimize loss of performance due to model uncertainties, the feedforward

  9. Combined Effects of Feedforward Inhibition and Excitation in Thalamocortical Circuit on the Transitions of Epileptic Seizures

    Directory of Open Access Journals (Sweden)

    Denggui Fan

    2017-07-01

    Full Text Available The mechanisms underlying electrophysiologically observed two-way transitions between absence and tonic-clonic epileptic seizures in cerebral cortex remain unknown. The interplay within thalamocortical network is believed to give rise to these epileptic multiple modes of activity and transitions between them. In particular, it is thought that in some areas of cortex there exists feedforward inhibition from specific relay nucleus of thalamus (TC to inhibitory neuronal population (IN which has even more stronger functions on cortical activities than the known feedforward excitation from TC to excitatory neuronal population (EX. Inspired by this, we proposed a modified computational model by introducing feedforward inhibitory connectivity within thalamocortical circuit, to systematically investigate the combined effects of feedforward inhibition and excitation on transitions of epileptic seizures. We first found that the feedforward excitation can induce the transition from tonic oscillation to spike and wave discharges (SWD in cortex, i.e., the epileptic tonic-absence seizures, with the fixed weak feedforward inhibition. Thereinto, the phase of absence seizures corresponding to strong feedforward excitation can be further transformed into the clonic oscillations with the increasing of feedforward inhibition, representing the epileptic absence-clonic seizures. We also observed the other fascinating dynamical states, such as periodic 2/3/4-spike and wave discharges, reversed SWD and clonic oscillations, as well as saturated firings. More importantly, we can identify the stable parameter regions representing the tonic-clonic oscillations and SWD discharges of epileptic seizures on the 2-D plane composed of feedforward inhibition and excitation, where the physiologically plausible transition pathways between tonic-clonic and absence seizures can be figured out. These results indicate the functional role of feedforward pathways in controlling epileptic

  10. Improving weather radar estimates of rainfall using feed-forward neural networks.

    Science.gov (United States)

    Teschl, Reinhard; Randeu, Walter L; Teschl, Franz

    2007-05-01

    In this paper an approach is described to improve weather radar estimates of rainfall based on a neural network technique. Other than rain gauges which measure the rain rate R directly on the ground, the weather radar measures the reflectivity Z aloft and the rain rate has to be determined over a Z-R relationship. Besides the fact that the rain rate has to be estimated from the reflectivity many other sources of possible errors are inherent to the radar system. In other words the radar measurements contain an amount of observation noise which makes it a demanding task to train the network properly. A feed-forward neural network with Z values as input vector was trained to predict the rain rate R on the ground. The results indicate that the model is able to generalize and the determined input-output relationship is also representative for other sites nearby with similar conditions.

  11. Predictive Feedback and Feedforward Control for Systems with Unknown Disturbances

    Science.gov (United States)

    Juang, Jer-Nan; Eure, Kenneth W.

    1998-01-01

    Predictive feedback control has been successfully used in the regulation of plate vibrations when no reference signal is available for feedforward control. However, if a reference signal is available it may be used to enhance regulation by incorporating a feedforward path in the feedback controller. Such a controller is known as a hybrid controller. This paper presents the theory and implementation of the hybrid controller for general linear systems, in particular for structural vibration induced by acoustic noise. The generalized predictive control is extended to include a feedforward path in the multi-input multi-output case and implemented on a single-input single-output test plant to achieve plate vibration regulation. There are cases in acoustic-induce vibration where the disturbance signal is not available to be used by the hybrid controller, but a disturbance model is available. In this case the disturbance model may be used in the feedback controller to enhance performance. In practice, however, neither the disturbance signal nor the disturbance model is available. This paper presents the theory of identifying and incorporating the noise model into the feedback controller. Implementations are performed on a test plant and regulation improvements over the case where no noise model is used are demonstrated.

  12. Mental models and user training

    Directory of Open Access Journals (Sweden)

    Saša Zupanič

    1997-01-01

    Full Text Available One of the functions of the reference service is user training which means teaching users how to use the library and it's information sorces (nowadays mainly computerized systems. While the scientific understanding of teaching/learning process is shifting, changes also affect the methods of user training in libraries.Human-computer interaction (HCI is an interdisciplinary and a very active research area which studies how humans use computers - their mental and behavioral characteristics. The application of psychological theories to HCI are especially great on three areas: psychological (mental, conceptual models, individual differences, and error behavior.The mental models theory is powerful tool for understanding the ways in which users interact with an information system. Claims, based on this theory can affect the methods (conceptualization of user training and the overall design of information systems.

  13. Processing Oscillatory Signals by Incoherent Feedforward Loops.

    Science.gov (United States)

    Zhang, Carolyn; Tsoi, Ryan; Wu, Feilun; You, Lingchong

    2016-09-01

    From the timing of amoeba development to the maintenance of stem cell pluripotency, many biological signaling pathways exhibit the ability to differentiate between pulsatile and sustained signals in the regulation of downstream gene expression. While the networks underlying this signal decoding are diverse, many are built around a common motif, the incoherent feedforward loop (IFFL), where an input simultaneously activates an output and an inhibitor of the output. With appropriate parameters, this motif can exhibit temporal adaptation, where the system is desensitized to a sustained input. This property serves as the foundation for distinguishing input signals with varying temporal profiles. Here, we use quantitative modeling to examine another property of IFFLs-the ability to process oscillatory signals. Our results indicate that the system's ability to translate pulsatile dynamics is limited by two constraints. The kinetics of the IFFL components dictate the input range for which the network is able to decode pulsatile dynamics. In addition, a match between the network parameters and input signal characteristics is required for optimal "counting". We elucidate one potential mechanism by which information processing occurs in natural networks, and our work has implications in the design of synthetic gene circuits for this purpose.

  14. Hybrid Feedforward-Feedback Noise Control Using Virtual Sensors

    Science.gov (United States)

    Bean, Jacob; Fuller, Chris; Schiller, Noah

    2016-01-01

    Several approaches to active noise control using virtual sensors are evaluated for eventual use in an active headrest. Specifically, adaptive feedforward, feedback, and hybrid control structures are compared. Each controller incorporates the traditional filtered-x least mean squares algorithm. The feedback controller is arranged in an internal model configuration to draw comparisons with standard feedforward control theory results. Simulation and experimental results are presented that illustrate each controllers ability to minimize the pressure at both physical and virtual microphone locations. The remote microphone technique is used to obtain pressure estimates at the virtual locations. It is shown that a hybrid controller offers performance benefits over the traditional feedforward and feedback controllers. Stability issues associated with feedback and hybrid controllers are also addressed. Experimental results show that 15-20 dB reduction in broadband disturbances can be achieved by minimizing the measured pressure, whereas 10-15 dB reduction is obtained when minimizing the estimated pressure at a virtual location.

  15. Army Training Study: Battalion Training Model Summary.

    Science.gov (United States)

    1978-08-08

    LIVR ARTEPSACTI CMDR CAMOUFLAGECOEAN JUDGEMENT CONCEAL MAT CNELMOVE -. omw ,.r o TEMP PITS- , - - - ~E ~%- STANDAR4DS ROUNDS INF’HIEO[ *,.F,.CB POWER...A distillation of the requirements of that methodology are outlined below: a. Training requirements. Precise requirements in the form of battle

  16. Comparison of different modelling approaches of drive train temperature for the purposes of wind turbine failure detection

    Science.gov (United States)

    Tautz-Weinert, J.; Watson, S. J.

    2016-09-01

    Effective condition monitoring techniques for wind turbines are needed to improve maintenance processes and reduce operational costs. Normal behaviour modelling of temperatures with information from other sensors can help to detect wear processes in drive trains. In a case study, modelling of bearing and generator temperatures is investigated with operational data from the SCADA systems of more than 100 turbines. The focus is here on automated training and testing on a farm level to enable an on-line system, which will detect failures without human interpretation. Modelling based on linear combinations, artificial neural networks, adaptive neuro-fuzzy inference systems, support vector machines and Gaussian process regression is compared. The selection of suitable modelling inputs is discussed with cross-correlation analyses and a sensitivity study, which reveals that the investigated modelling techniques react in different ways to an increased number of inputs. The case study highlights advantages of modelling with linear combinations and artificial neural networks in a feedforward configuration.

  17. Feedforward interview technique in obstetrics and gynaecology residents: a fact or fallacy.

    Science.gov (United States)

    Sami, Shehla; Ahmad, Amina

    2015-01-01

    To determine the role of Feedforward Interview (FFI) technique in motivating residents of Obstetrics and Gynaecology for better learning and performance. An explorative study with mixed method approach being employed. Department of Obstetrics and Gynaecology, Sandeman (Provincial) Hospital, Quetta, from November 2010 till May 2013. Feedforward interview technique was complimented by survey questionnaire employing similar philosophy of FFI to triangulate data through two methods. Survey questionnaire was filled-up by 21 residents and analysed by SPSS version 17. Fourteen of these participants were identified for in-depth Feedforward Interviews (FFI), based on nonprobability purposive sampling after informed consent, and content analysis was done. Feedforward interview technique enabled majority of residents in recalling minimum of 3 positive experiences, mainly related to surgical experiences, which enhanced their motivation to aspire for further improvement in this area. Hard work was the main personal contributing factor both in FFI and survey. In addition to identifying clinical experiences enhancing desire to learn, residents also reported need for more academic support as an important factor which could also boost motivation to attain better performance. Feedforward interview technique not only helps residents in recalling positive learning experiences during their training but it also has a significant influence on developing insight about one's performance and motivating residents to achieve higher academic goals.

  18. Dialogic feedforward in group coaching

    DEFF Research Database (Denmark)

    Alrø, Helle; Dahl, Poul Nørgård

    2015-01-01

    The overall purpose of the article is to describe a joint learning process where both practicable and theoretically anchored knowledge are in the foreground. The empirical data derives from an EU project. In focus is a group of course leaders and their experiences of carrying out a training progr...

  19. Forecasting of currency exchange rates using an adaptive ARMA model with differential evolution based training

    Directory of Open Access Journals (Sweden)

    Minakhi Rout

    2014-01-01

    Full Text Available To alleviate the limitations of statistical based methods of forecasting of exchange rates, soft and evolutionary computing based techniques have been introduced in the literature. To further the research in this direction this paper proposes a simple but promising hybrid prediction model by suitably combining an adaptive autoregressive moving average (ARMA architecture and differential evolution (DE based training of its feed-forward and feed-back parameters. Simple statistical features are extracted for each exchange rate using a sliding window of past data and are employed as input to the prediction model for training its internal coefficients using DE optimization strategy. The prediction efficiency is validated using past exchange rates not used for training purpose. Simulation results using real life data are presented for three different exchange rates for one–fifteen months’ ahead predictions. The results of the developed model are compared with other four competitive methods such as ARMA-particle swarm optimization (PSO, ARMA-cat swarm optimization (CSO, ARMA-bacterial foraging optimization (BFO and ARMA-forward backward least mean square (FBLMS. The derivative based ARMA-FBLMS forecasting model exhibits worst prediction performance of the exchange rates. Comparisons of different performance measures including the training time of the all three evolutionary computing based models demonstrate that the proposed ARMA-DE exchange rate prediction model possesses superior short and long range prediction potentiality compared to others.

  20. An Indoor Positioning Technique Based on a Feed-Forward Artificial Neural Network Using Levenberg-Marquardt Learning Method

    Science.gov (United States)

    Pahlavani, P.; Gholami, A.; Azimi, S.

    2017-09-01

    This paper presents an indoor positioning technique based on a multi-layer feed-forward (MLFF) artificial neural networks (ANN). Most of the indoor received signal strength (RSS)-based WLAN positioning systems use the fingerprinting technique that can be divided into two phases: the offline (calibration) phase and the online (estimation) phase. In this paper, RSSs were collected for all references points in four directions and two periods of time (Morning and Evening). Hence, RSS readings were sampled at a regular time interval and specific orientation at each reference point. The proposed ANN based model used Levenberg-Marquardt algorithm for learning and fitting the network to the training data. This RSS readings in all references points and the known position of these references points was prepared for training phase of the proposed MLFF neural network. Eventually, the average positioning error for this network using 30% check and validation data was computed approximately 2.20 meter.

  1. Feed-forward segmentation of figure-ground and assignment of border-ownership.

    Directory of Open Access Journals (Sweden)

    Hans Supèr

    Full Text Available Figure-ground is the segmentation of visual information into objects and their surrounding backgrounds. Two main processes herein are boundary assignment and surface segregation, which rely on the integration of global scene information. Recurrent processing either by intrinsic horizontal connections that connect surrounding neurons or by feedback projections from higher visual areas provide such information, and are considered to be the neural substrate for figure-ground segmentation. On the contrary, a role of feedforward projections in figure-ground segmentation is unknown. To have a better understanding of a role of feedforward connections in figure-ground organization, we constructed a feedforward spiking model using a biologically plausible neuron model. By means of surround inhibition our simple 3-layered model performs figure-ground segmentation and one-sided border-ownership coding. We propose that the visual system uses feed forward suppression for figure-ground segmentation and border-ownership assignment.

  2. Research on artistic gymnastics training guidance model

    Science.gov (United States)

    Luo, Lin; Sun, Xianzhong

    2017-04-01

    Rhythmic gymnastics training guidance model, taking into consideration the features of artistic gymnastics training, is put forward to help gymnasts identify their deficiencies and unskilled technical movements and improve their training effects. The model is built on the foundation of both physical quality indicator model and artistic gymnastics training indicator model. Physical quality indicator model composed of bodily factor, flexibility-strength factor and speed-dexterity factor delivers an objective evaluation with reference to basic sport testing data. Training indicator model, based on physical fitness indicator, helps analyze the technical movements, through which the impact from each bodily factor on technical movements is revealed. AG training guidance model, in further combination with actual training data and in comparison with the data shown in the training indicator model, helps identify the problems in trainings, and thus improve the training effect. These three models when in combined use and in comparison with historical model data can check and verify the improvement in training effect over a certain period of time.

  3. PREDICTIVE CONTROL OF A BATCH POLYMERIZATION SYSTEM USING A FEEDFORWARD NEURAL NETWORK WITH ONLINE ADAPTATION BY GENETIC ALGORITHM

    Directory of Open Access Journals (Sweden)

    A. Cancelier

    Full Text Available Abstract This study used a predictive controller based on an empirical nonlinear model comprising a three-layer feedforward neural network for temperature control of the suspension polymerization process. In addition to the offline training technique, an algorithm was also analyzed for online adaptation of its parameters. For the offline training, the network was statically trained and the genetic algorithm technique was used in combination with the least squares method. For online training, the network was trained on a recurring basis and only the technique of genetic algorithms was used. In this case, only the weights and bias of the output layer neuron were modified, starting from the parameters obtained from the offline training. From the experimental results obtained in a pilot plant, a good performance was observed for the proposed control system, with superior performance for the control algorithm with online adaptation of the model, particularly with respect to the presence of off-set for the case of the fixed parameters model.

  4. A feed-forward neural network for modeling feeding behavior of group-housed grow-finish pigs with respect to thermal conditions

    Science.gov (United States)

    Feeding patterns of pigs in the grow-finish phase have been investigated for use in management decisions, identifying sick animals, and determining genetic differences within a herd. Development of models to predict swine feeding behavior has been limited due the large number of potential environmen...

  5. Language Teaching Models in Teacher Training Programs

    OpenAIRE

    Aslan, Alper

    2016-01-01

    Any language teacher who has gone through some kind of training program for the teaching of English should be familiar with various specific language teaching models that constitute the core of the training process. A language teaching model is a guide that helps the trainee to sequence the activities designed for the expectations and needs of learners in a lesson. This paper reviews the common language teaching models in teacher training programs (PPP, OHE, III, TTT, TBLT, ESA, ARC) and disc...

  6. Modified feed-forward neural network structures and combined-function-derivative approximations incorporating exchange symmetry for potential energy surface fitting.

    Science.gov (United States)

    Nguyen, Hieu T T; Le, Hung M

    2012-05-10

    The classical interchange (permutation) of atoms of similar identity does not have an effect on the overall potential energy. In this study, we present feed-forward neural network structures that provide permutation symmetry to the potential energy surfaces of molecules. The new feed-forward neural network structures are employed to fit the potential energy surfaces for two illustrative molecules, which are H(2)O and ClOOCl. Modifications are made to describe the symmetric interchange (permutation) of atoms of similar identity (or mathematically, the permutation of symmetric input parameters). The combined-function-derivative approximation algorithm (J. Chem. Phys. 2009, 130, 134101) is also implemented to fit the neural-network potential energy surfaces accurately. The combination of our symmetric neural networks and the function-derivative fitting effectively produces PES fits using fewer numbers of training data points. For H(2)O, only 282 configurations are employed as the training set; the testing root-mean-squared and mean-absolute energy errors are respectively reported as 0.0103 eV (0.236 kcal/mol) and 0.0078 eV (0.179 kcal/mol). In the ClOOCl case, 1693 configurations are required to construct the training set; the root-mean-squared and mean-absolute energy errors for the ClOOCl testing set are 0.0409 eV (0.943 kcal/mol) and 0.0269 eV (0.620 kcal/mol), respectively. Overall, we find good agreements between ab initio and NN prediction in term of energy and gradient errors, and conclude that the new feed-forward neural-network models advantageously describe the molecules with excellent accuracy.

  7. Language Learning Strategies and Its Training Model

    Science.gov (United States)

    Liu, Jing

    2010-01-01

    This paper summarizes and reviews the literature regarding language learning strategies and it's training model, pointing out the significance of language learning strategies to EFL learners and an applicable and effective language learning strategies training model, which is beneficial both to EFL learners and instructors, is badly needed.

  8. Video Feedforward for Rapid Learning of a Picture-Based Communication System

    Science.gov (United States)

    Smith, Jemma; Hand, Linda; Dowrick, Peter W.

    2014-01-01

    This study examined the efficacy of video self modeling (VSM) using feedforward, to teach various goals of a picture exchange communication system (PECS). The participants were two boys with autism and one man with Down syndrome. All three participants were non-verbal with no current functional system of communication; the two children had long…

  9. Feedforward and Feedback Control in Apraxia of Speech: Effects of Noise Masking on Vowel Production

    Science.gov (United States)

    Maas, Edwin; Mailend, Marja-Liisa; Guenther, Frank H.

    2015-01-01

    Purpose: This study was designed to test two hypotheses about apraxia of speech (AOS) derived from the Directions Into Velocities of Articulators (DIVA) model (Guenther et al., 2006): the feedforward system deficit hypothesis and the feedback system deficit hypothesis. Method: The authors used noise masking to minimize auditory feedback during…

  10. Feedforward inhibition and synaptic scaling--two sides of the same coin?

    Directory of Open Access Journals (Sweden)

    Christian Keck

    Full Text Available Feedforward inhibition and synaptic scaling are important adaptive processes that control the total input a neuron can receive from its afferents. While often studied in isolation, the two have been reported to co-occur in various brain regions. The functional implications of their interactions remain unclear, however. Based on a probabilistic modeling approach, we show here that fast feedforward inhibition and synaptic scaling interact synergistically during unsupervised learning. In technical terms, we model the input to a neural circuit using a normalized mixture model with Poisson noise. We demonstrate analytically and numerically that, in the presence of lateral inhibition introducing competition between different neurons, Hebbian plasticity and synaptic scaling approximate the optimal maximum likelihood solutions for this model. Our results suggest that, beyond its conventional use as a mechanism to remove undesired pattern variations, input normalization can make typical neural interaction and learning rules optimal on the stimulus subspace defined through feedforward inhibition. Furthermore, learning within this subspace is more efficient in practice, as it helps avoid locally optimal solutions. Our results suggest a close connection between feedforward inhibition and synaptic scaling which may have important functional implications for general cortical processing.

  11. Model-Trained Neural Networks and Electronic Holography Demonstrated to Detect Damage in Blades

    Science.gov (United States)

    Decker, Arthur J.; Fite, E. Brian; Mehmed, Oral; Thorp, Scott A.

    1998-01-01

    Detect Damage in Blades Electronic holography can show damaged regions in fan blades at 30 frames/sec. The electronic holograms are transformed by finite-element-model-trained artificial neural networks to visualize the damage. The trained neural networks are linked with video and graphics to visualize the bending-induced strain distribution, which is very sensitive to damage. By contrast, it is very difficult to detect damage by viewing the raw, speckled, characteristic fringe patterns. For neural-network visualization of damage, 2 frames or 2 fields are used, rather than the 12 frames normally used to compute the displacement distribution from electronic holograms. At the NASA Lewis Research Center, finite element models are used to compute displacement and strain distributions for the vibration modes of undamaged and cracked blades. A model of electronic time-averaged holography is used to transform the displacement distributions into finite-element-resolution characteristic fringe patterns. Then, a feedforward neural network is trained with the fringe-pattern/strain-pattern pairs, and the neural network, electronic holography, and video are implemented on a workstation. Now that the neural networks have been tested successfully at 30 frames/sec on undamaged and cracked cantilevers, the electronic holography and neural-network processing are being adapted for onsite damage inspection of twisted fan blades and rotormounted blades. Our conclusion is that model-trained neural nets are effective when they are trained with good models whose application is well understood. This work supports the aeromechanical testing portion of the Advanced Subsonic Technology Project.

  12. Sliding-mode control combined with improved adaptive feedforward for wafer scanner

    Science.gov (United States)

    Li, Xiaojie; Wang, Yiguang

    2018-03-01

    In this paper, a sliding-mode control method combined with improved adaptive feedforward is proposed for wafer scanner to improve the tracking performance of the closed-loop system. Particularly, In addition to the inverse model, the nonlinear force ripple effect which may degrade the tracking accuracy of permanent magnet linear motor (PMLM) is considered in the proposed method. The dominant position periodicity of force ripple is determined by using the Fast Fourier Transform (FFT) analysis for experimental data and the improved feedforward control is achieved by the online recursive least-squares (RLS) estimation of the inverse model and the force ripple. The improved adaptive feedforward is given in a general form of nth-order model with force ripple effect. This proposed method is motivated by the motion controller design of the long-stroke PMLM and short-stroke voice coil motor for wafer scanner. The stability of the closed-loop control system and the convergence of the motion tracking are guaranteed by the proposed sliding-mode feedback and adaptive feedforward methods theoretically. Comparative experiments on a precision linear motion platform can verify the correctness and effectiveness of the proposed method. The experimental results show that comparing to traditional method the proposed one has better performance of rapidity and robustness, especially for high speed motion trajectory. And, the improvements on both tracking accuracy and settling time can be achieved.

  13. Feed-Forward Propagation of Temporal and Rate Information between Cortical Populations during Coherent Activation in Engineered In Vitro Networks.

    Science.gov (United States)

    DeMarse, Thomas B; Pan, Liangbin; Alagapan, Sankaraleengam; Brewer, Gregory J; Wheeler, Bruce C

    2016-01-01

    Transient propagation of information across neuronal assembles is thought to underlie many cognitive processes. However, the nature of the neural code that is embedded within these transmissions remains uncertain. Much of our understanding of how information is transmitted among these assemblies has been derived from computational models. While these models have been instrumental in understanding these processes they often make simplifying assumptions about the biophysical properties of neurons that may influence the nature and properties expressed. To address this issue we created an in vitro analog of a feed-forward network composed of two small populations (also referred to as assemblies or layers) of living dissociated rat cortical neurons. The populations were separated by, and communicated through, a microelectromechanical systems (MEMS) device containing a strip of microscale tunnels. Delayed culturing of one population in the first layer followed by the second a few days later induced the unidirectional growth of axons through the microtunnels resulting in a primarily feed-forward communication between these two small neural populations. In this study we systematically manipulated the number of tunnels that connected each layer and hence, the number of axons providing communication between those populations. We then assess the effect of reducing the number of tunnels has upon the properties of between-layer communication capacity and fidelity of neural transmission among spike trains transmitted across and within layers. We show evidence based on Victor-Purpura's and van Rossum's spike train similarity metrics supporting the presence of both rate and temporal information embedded within these transmissions whose fidelity increased during communication both between and within layers when the number of tunnels are increased. We also provide evidence reinforcing the role of synchronized activity upon transmission fidelity during the spontaneous synchronized

  14. Visual areas exert feedforward and feedback influences through distinct frequency channels

    NARCIS (Netherlands)

    Bastos, A.M.; Vezoli, J.; Bosman, C.A.; Schoffelen, J.M.; Oostenveld, R.; Dowdall, J.R.; de Weerd, P.; Kennedy, H.; Fries, P.

    2015-01-01

    Visual cortical areas subserve cognitive functions by interacting in both feedforward and feedback directions. While feedforward influences convey sensory signals, feedback influences modulate feedforward signaling according to the current behavioral context. We investigated whether these interareal

  15. Training model for cerebral aneurysm clipping

    Directory of Open Access Journals (Sweden)

    Hiroshi Tenjin, M.D., Ph.D.

    2017-12-01

    Full Text Available Clipping of cerebral aneurysms is still an important skill in neurosurgery. We have made a training model for the clipping of cerebral aneurysms. The concepts for the model were 1: training model for beginners, 2: three dimensional manipulation using an operating microscope, 3: the aneurysm model is to be perfused by simulated blood causing premature rupture. The correct relationship between each tissue, and softness of the brain and vessels were characteristics of the model. The skull, brain, arteries, and veins were made using a 3D printer with data from DICOM. The brain and vessels were made from polyvinyl alcohol (PVA. One training course was held and this model was useful for training of cerebral aneurysm surgery for young neurosurgeons.

  16. Polymer electrolyte membrane fuel cell control with feed-forward ...

    African Journals Online (AJOL)

    Feed-forward and feedback control is developed in this work for Polymer electrolyte membrane (PEM) fuel cell stacks. The feed-forward control is achieved using different methods, including look-up table, fuzzy logic and neural network, to improve the fuel cell stack breathing control and prevent the problem of oxygen ...

  17. Models of Inservice Teacher Training.

    Science.gov (United States)

    Mercado, Carmen I.

    The federally-funded New York Bilingual Education Multifunctional Support Center provides support services for Title VII and other bilingual education programs, and actively promotes the analysis and application of research findings relating to bilingual instruction and teacher training. It promotes professional development activities that are…

  18. Bayesian multioutput feedforward neural networks comparison: a conjugate prior approach.

    Science.gov (United States)

    Rossi, Vivien; Vila, Jean-Pierre

    2006-01-01

    A Bayesian method for the comparison and selection of multioutput feedforward neural network topology, based on the predictive capability, is proposed. As a measure of the prediction fitness potential, an expected utility criterion is considered which is consistently estimated by a sample-reuse computation. As opposed to classic point-prediction-based cross-validation methods, this expected utility is defined from the logarithmic score of the neural model predictive probability density. It is shown how the advocated choice of a conjugate probability distribution as prior for the parameters of a competing network, allows a consistent approximation of the network posterior predictive density. A comparison of the performances of the proposed method with the performances of usual selection procedures based on classic cross-validation and information-theoretic criteria, is performed first on a simulated case study, and then on a well known food analysis dataset.

  19. Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit.

    Directory of Open Access Journals (Sweden)

    Tiffany Kee

    2015-10-01

    Full Text Available Inhibitory interneurons play critical roles in shaping the firing patterns of principal neurons in many brain systems. Despite difference in the anatomy or functions of neuronal circuits containing inhibition, two basic motifs repeatedly emerge: feed-forward and feedback. In the locust, it was proposed that a subset of lateral horn interneurons (LHNs, provide feed-forward inhibition onto Kenyon cells (KCs to maintain their sparse firing--a property critical for olfactory learning and memory. But recently it was established that a single inhibitory cell, the giant GABAergic neuron (GGN, is the main and perhaps sole source of inhibition in the mushroom body, and that inhibition from this cell is mediated by a feedback (FB loop including KCs and the GGN. To clarify basic differences in the effects of feedback vs. feed-forward inhibition in circuit dynamics we here use a model of the locust olfactory system. We found both inhibitory motifs were able to maintain sparse KCs responses and provide optimal odor discrimination. However, we further found that only FB inhibition could create a phase response consistent with data recorded in vivo. These findings describe general rules for feed-forward versus feedback inhibition and suggest GGN is potentially capable of providing the primary source of inhibition to the KCs. A better understanding of how inhibitory motifs impact post-synaptic neuronal activity could be used to reveal unknown inhibitory structures within biological networks.

  20. Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays

    Directory of Open Access Journals (Sweden)

    Jorge F Mejias

    2014-02-01

    Full Text Available The control of input-to-output mappings, or gain control, is one of the main strategies used by neural networks for the processing and gating of information. Using a spiking neural network model, we studied the gain control induced by a form of inhibitory feedforward circuitry — also known as ’open-loop feedback’ —, which has been experimentally observed in a cerebellum-like structure in weakly electric fish. We found, both analytically and numerically, that this network displays three different regimes of gain control: subtractive, divisive, and non-monotonic. Subtractive gain control was obtained when noise is very low in the network. Also, it was possible to change from divisive to non-monotonic gain control by simply modulating the strength of the feedforward inhibition, which may be achieved via long-term synaptic plasticity. The particular case of divisive gain control has been previously observed in vivo in weakly electric fish. These gain control regimes were robust to the presence of temporal delays in the inhibitory feedforward pathway, which were found to linearize the input-to-output mappings (or f-I curves via a novel variability-increasing mechanism. Our findings highlight the feedforward-induced gain control analyzed here as a highly versatile mechanism of information gating in the brain.

  1. Model of historical education and teacher training

    Directory of Open Access Journals (Sweden)

    Gerardo Daniel Mora Hernández

    2017-01-01

    Full Text Available In Mexico Model Historical Education is an educational proposal that is based on the interaction with primary sources and use of analytical concepts ("second order". Training model as part of the "representations" of student teachers of history and teaching -tradicionalistas- confronted with experiential activities. Follow the procedural learning teaching model. He concludes with the teaching work in real conditions ("situated learning", the drafting of a "receptional document" and the professional examination (reflexive teaching.This training model we have developed in the specialty of History of Bachelor of Secondary Education in Higher Normal School of Mexico since 2006, advising a hundred students.

  2. Developing a Successful Open Source Training Model

    Directory of Open Access Journals (Sweden)

    Belinda Lopez

    2010-01-01

    Full Text Available Training programs for open source software provide a tangible, and sellable, product. A successful training program not only builds revenue, it also adds to the overall body of knowledge available for the open source project. By gathering best practices and taking advantage of the collective expertise within a community, it may be possible for a business to partner with an open source project to build a curriculum that promotes the project and supports the needs of the company's training customers. This article describes the initial approach used by Canonical, the commercial sponsor of the Ubuntu Linux operating system, to engage the community in the creation of its training offerings. We then discuss alternate curriculum creation models and some of the conditions that are necessary for successful collaboration between creators of existing documentation and commercial training providers.

  3. Analysis of speedup as function of block size and cluster size for parallel feed-forward neural networks on a Beowulf cluster.

    Science.gov (United States)

    Mörchen, Fabian

    2004-03-01

    The performance of feed-forward neural networks trained with the backpropagation algorithm on a dedicated Beowulf cluster is analyzed. The concept of training set parallelism is applied. A new model for run time and speedup prediction is developed. With the model the speedup and efficiency of one iteration of the neural networks can be estimated as a function of block size and cluster size. The model is applied to three example problems representing different applications and network architectures. The estimation of the model has a higher accuracy than traditional methods for run time estimation and can be efficiently calculated. Experiments show that speedup of one iteration does not necessarily translate to a shorter training time toward a given error level. To overcome this problem a heuristic extension to training set parallelism called weight averaging is developed. The results show that training in parallel should only be done on clusters with high performance network connections or a multiprocessor machine. A rule of thumb is given for how much network performance of the cluster is needed to achieve speedup of the training time for a neural network.

  4. Measuring Feedforward Inhibition and Its Impact on Local Circuit Function.

    Science.gov (United States)

    Hull, Court

    2017-05-01

    This protocol describes a series of approaches to measure feedforward inhibition in acute brain slices from the cerebellar cortex. Using whole-cell voltage and current clamp recordings from Purkinje cells in conjunction with electrical stimulation of the parallel fibers, these methods demonstrate how to measure the relationship between excitation and inhibition in a feedforward circuit. This protocol also describes how to measure the impact of feedforward inhibition on Purkinje cell excitability, with an emphasis on spike timing. © 2017 Cold Spring Harbor Laboratory Press.

  5. MODEL OF TRAINING OF SUCCESS IN LIFE

    Directory of Open Access Journals (Sweden)

    Екатерина Александровна Лежнева

    2014-04-01

    Full Text Available The article explains the importance of the development of motive to succeed in adolescence. It is determined the value of the motive to achieve success in the further development of the teenager: a motive to achieve effective internal forces mobilized for the implementation of successful operation ensures the active involvement of teenagers in social and interpersonal relationships. As the primary means of motive development success is considered training. The author provides a definition of "training for success in life," creates a model of training for success in life, and describes its units (targeted, informative, technological, productive, reveals the successful development of the technology life strategy used during the training (self-presentation, targets, incentives, subject-orientation. The author pays attention to the need for a future psychologist to develop teenagers’ motive to achieve success through the mastery of competence in constructing a model of training for success in life, and its implementation in the course of professional activities. The main means of training students of psychology to the use of training success in life identified the additional educational programs and psychological section.DOI: http://dx.doi.org/10.12731/2218-7405-2013-9-77

  6. Physically realistic modeling of maritime training simulation

    OpenAIRE

    Cieutat , Jean-Marc

    2003-01-01

    Maritime training simulation is an important matter of maritime teaching, which requires a lot of scientific and technical skills.In this framework, where the real time constraint has to be maintained, all physical phenomena cannot be studied; the most visual physical phenomena relating to the natural elements and the ship behaviour are reproduced only. Our swell model, based on a surface wave simulation approach, permits to simulate the shape and the propagation of a regular train of waves f...

  7. A simplified approach to feedwater train modeling

    International Nuclear Information System (INIS)

    Ollat, X.; Smoak, R.A.

    1990-01-01

    This paper presents a method to simplify feedwater train models for power plants. A simple set of algebraic equations, based on mass and energy balances, is developed to replace complex representations of the components under certain assumptions. The method was tested and used to model the low pressure heaters of the Sequoyah Nuclear Plant in a larger simulation

  8. Generalized single-hidden layer feedforward networks for regression problems.

    Science.gov (United States)

    Wang, Ning; Er, Meng Joo; Han, Min

    2015-06-01

    In this paper, traditional single-hidden layer feedforward network (SLFN) is extended to novel generalized SLFN (GSLFN) by employing polynomial functions of inputs as output weights connecting randomly generated hidden units with corresponding output nodes. The significant contributions of this paper are as follows: 1) a primal GSLFN (P-GSLFN) is implemented using randomly generated hidden nodes and polynomial output weights whereby the regression matrix is augmented by full or partial input variables and only polynomial coefficients are to be estimated; 2) a simplified GSLFN (S-GSLFN) is realized by decomposing the polynomial output weights of the P-GSLFN into randomly generated polynomial nodes and tunable output weights; 3) both P- and S-GSLFN are able to achieve universal approximation if the output weights are tuned by ridge regression estimators; and 4) by virtue of the developed batch and online sequential ridge ELM (BR-ELM and OSR-ELM) learning algorithms, high performance of the proposed GSLFNs in terms of generalization and learning speed is guaranteed. Comprehensive simulation studies and comparisons with standard SLFNs are carried out on real-world regression benchmark data sets. Simulation results demonstrate that the innovative GSLFNs using BR-ELM and OSR-ELM are superior to standard SLFNs in terms of accuracy, training speed, and structure compactness.

  9. Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles

    Directory of Open Access Journals (Sweden)

    Chaitanya Medini

    2012-01-01

    Full Text Available The cerebellum input stage has been known to perform combinatorial operations on input signals. In this paper, two types of mathematical models were used to reproduce the role of feed-forward inhibition and computation in the granular layer microcircuitry to investigate spike train processing. A simple spiking model and a biophysically-detailed model of the network were used to study signal recoding in the granular layer and to test observations like center-surround organization and time-window hypothesis in addition to effects of induced plasticity. Simulations suggest that simple neuron models may be used to abstract timing phenomenon in large networks, however detailed models were needed to reconstruct population coding via evoked local field potentials (LFP and for simulating changes in synaptic plasticity. Our results also indicated that spatio-temporal code of the granular network is mainly controlled by the feed-forward inhibition from the Golgi cell synapses. Spike amplitude and total number of spikes were modulated by LTP and LTD. Reconstructing granular layer evoked-LFP suggests that granular layer propagates the nonlinearities of individual neurons. Simulations indicate that granular layer network operates a robust population code for a wide range of intervals, controlled by the Golgi cell inhibition and is regulated by the post-synaptic excitability.

  10. Model of historical education and teacher training

    OpenAIRE

    Gerardo Daniel Mora Hernández; Rosa Ortiz Paz

    2017-01-01

    In Mexico Model Historical Education is an educational proposal that is based on the interaction with primary sources and use of analytical concepts ("second order"). Training model as part of the "representations" of student teachers of history and teaching -tradicionalistas- confronted with experiential activities. Follow the procedural learning teaching model. He concludes with the teaching work in real conditions ("situated learning"), the drafting of a "receptional document" and the prof...

  11. MAGNETICALLY LEVITATED TRAIN'S SUSPENSION MODEL

    Directory of Open Access Journals (Sweden)

    V. A. Polyakov

    2017-10-01

    Full Text Available Purpose. The implementation of the magnetically levitated train’s (MLT levitation force (LF occurs during the interaction between fields of superconducting train’s (STC and short-circuited track’s contours (STC, which are included in to levitation module (LU. Based on this, the purpose of this study is to obtain a correct description of such interaction. Methodology. At the present stage, the main and most universal tool for the analysis and synthesis of processes and systems is their mathematical and, in particular, computer modeling. At the same time, the radical advantages of this tool make even more important the precision of choosing a specific methodology for research conducting. This is particularly relevant in relation to such large and complex systems as MLT. For this reason, the work pays special attention to the reasoned choice of the selective features of the research paradigm. Findings. The analysis results of existing versions of LF implementation’s models show that each of them, along with the advantages, also has significant drawbacks. In this regard, one of the main results of the study should be the construction of this force implementation’s mathematical model, which preserves the advantages of the mentioned versions, but free from their shortcomings. The rationality of application, for the train’s LF researching, of an integrative holistic paradigm, which assimilates the advantages of the electric circuit's and magnetic field's theory’s, is reasonably justified in work. Originality. The scientific novelty of the research – in priority of such a paradigm’s and the corresponding version’s of the LF’s implementation’s model’s creating. Practical value. The main manifestation of the practical significance of the work is the possibility, in the case of using its results, to significantly increase the effectiveness of dynamic MLT research while reducing their resource costing.

  12. Design of A Novel Feed-Forward Control Strategy for A Non-Minimum Phase System

    Science.gov (United States)

    Sharma, Kajal; Pradhan, Raseswari

    2017-08-01

    This paper proposes a new feed-forward control strategy for a plant with non-minimum phase dynamics. A Feed-Forward controller is very essential for controlling plants with time-varying reference signals. However, designing this type of controller is a non-trivial problem in case the plant dynamics is non-minimum-phase. This is because, this controller design involves the concept of inversion of the plant model and inverse of a non-minimum-phase plant model is unstable or non-causal. For this problem, usually an approximate inversion of a plant model is applied. An approach with corrected-approximate-inverse (CAI) method is available for feed forward controller design. After analyzing the results and discussion of this CAI technique, it is seen that although it seems to be working perfectly for small duration of time but its performance is unsatisfactory in case of large span of time. Therefore, in this paper, a new feed-forward control strategy has been designed to erase the above said problem. This method has adopted a simple version of an internal plant-model structure in its time domain. The fixed-structure feed forward controller that is constructed using this method is usually a linear amalgamation of a reference trajectory and its time-derivatives with suitable weighting factors. This control strategy has been verified with appropriate simulation results applied to a studied plant and results are compared with that of the CAI technique.

  13. A Sustainable Model for Training Teachers to Use Pivotal Response Training

    Science.gov (United States)

    Suhrheinrich, Jessica

    2015-01-01

    The increase in the rate of autism diagnoses has created a growing demand for teachers who are trained to use effective interventions. The train-the-trainer model, which involves training supervisors to train others, may be ideal for providing cost-effective training and ongoing support to teachers. Although research supports interventions, such…

  14. Why vision is not both hierarchical and feedforward

    Directory of Open Access Journals (Sweden)

    Michael H Herzog

    2014-10-01

    Full Text Available In classical models of object recognition, first, basic features (e.g., edges and lines are analyzed by independent filters that mimic the receptive field profiles of V1 neurons. In a feedforward fashion, the outputs of these filters are fed to filters at the next processing stage, pooling information across several filters from the previous level, and so forth at subsequent processing stages. Low-level processing determines high-level processing. Information lost on lower stages is irretrievably lost. Models of this type have proven to be very successful in many fields of vision, but have failed to explain object recognition in general. Here, we present experiments that, first, show that, similar to demonstrations from the Gestaltists, figural aspects determine low-level processing (as much as the other way around. Second, performance on a single element depends on all the other elements in the visual scene. Small changes in the overall configuration can lead to large changes in performance. Third, grouping of elements is key. Only if we know how elements group across the entire visual field, we can determine performance on individual elements, i.e., challenging the classical stereotypical filtering approach, which is at the very heart of most vision models.

  15. Exemplary Training Models in Industrial Technology.

    Science.gov (United States)

    Hatton, Michael J., Comp.

    Prepared by Canadian, Chinese Taipei, and Thai educational agencies and based on surveys of Asia Pacific Economic Cooperation member nations, this report provides descriptions of 52 exemplary industrial technology training models in Australia, Brunei, Canada, Chinese Taipei, Hong Kong, Malaysia, New Zealand, the Philippines, the People's Republic…

  16. Engineering teacher training models and experiences

    Science.gov (United States)

    González-Tirados, R. M.

    2009-04-01

    Education Area, we renewed the programme, content and methodology, teaching the course under the name of "Initial Teacher Training Course within the framework of the European Higher Education Area". Continuous Training means learning throughout one's life as an Engineering teacher. They are actions designed to update and improve teaching staff, and are systematically offered on the current issues of: Teaching Strategies, training for research, training for personal development, classroom innovations, etc. They are activities aimed at conceptual change, changing the way of teaching and bringing teaching staff up-to-date. At the same time, the Institution is at the disposal of all teaching staff as a meeting point to discuss issues in common, attend conferences, department meetings, etc. In this Congress we present a justification of both training models and their design together with some results obtained on: training needs, participation, how it is developing and to what extent students are profiting from it.

  17. Stability analysis of feedforward anticipation optimal flux difference in traffic lattice hydrodynamic theory

    Science.gov (United States)

    Sun, Di-Hua; Zhang, Geng; Zhao, Min; Cheng, Sen-Lin; Cao, Jian-Dong

    2018-03-01

    Recently, the influence of driver's individual behaviors on traffic stability is research hotspot with the fasting developing transportation cyber-physical systems. In this paper, a new traffic lattice hydrodynamic model is proposed with consideration of driver's feedforward anticipation optimal flux difference. The neutral stability condition of the new model is obtained through linear stability analysis theory. The results show that the stable region will be enlarged on the phase diagram when the feedforward anticipation optimal flux difference effect is taken into account. In order to depict traffic jamming transition properties theoretically, the mKdV equation near the critical point is derived via nonlinear reductive perturbation method. The propagation behavior of traffic density waves can be described by the kink-antikink solution of the mKdV equation. Numerical simulations are conducted to verify the analytical results and all the results confirms that traffic stability can be enhanced significantly by considering the feedforward anticipation optimal flux difference in traffic lattice hydrodynamic theory.

  18. Real-Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network

    Science.gov (United States)

    Şimşir, Mehmet; Bayır, Raif; Uyaroğlu, Yılmaz

    2016-01-01

    Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors) encounter previously defined and undefined faults under operation. It may inevitably lead to the interruption of the electromechanical system operation; hence, economic losses take place at certain times. Therefore, in order to maintain system operation sustainability, the motor should be precisely monitored and the faults are diagnosed considering various significant motor parameters. In this study, the artificial feedforward backpropagation neural network approach is proposed to real-time monitor and diagnose the faults of the hub motor by measuring seven main system parameters. So as to construct a necessary model, we trained the model, using a data set consisting of 4160 samples where each has 7 parameters, by the MATLAB environment until the best model is obtained. The results are encouraging and meaningful for the specific motor and the developed model may be applicable to other types of hub motors. The prosperous model of the whole system was embedded into Arduino Due microcontroller card and the mobile real-time monitoring and fault diagnosis system prototype for hub motor was designed and manufactured. PMID:26819590

  19. Real-Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network.

    Science.gov (United States)

    Şimşir, Mehmet; Bayır, Raif; Uyaroğlu, Yılmaz

    2016-01-01

    Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors) encounter previously defined and undefined faults under operation. It may inevitably lead to the interruption of the electromechanical system operation; hence, economic losses take place at certain times. Therefore, in order to maintain system operation sustainability, the motor should be precisely monitored and the faults are diagnosed considering various significant motor parameters. In this study, the artificial feedforward backpropagation neural network approach is proposed to real-time monitor and diagnose the faults of the hub motor by measuring seven main system parameters. So as to construct a necessary model, we trained the model, using a data set consisting of 4160 samples where each has 7 parameters, by the MATLAB environment until the best model is obtained. The results are encouraging and meaningful for the specific motor and the developed model may be applicable to other types of hub motors. The prosperous model of the whole system was embedded into Arduino Due microcontroller card and the mobile real-time monitoring and fault diagnosis system prototype for hub motor was designed and manufactured.

  20. Real-Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network

    Directory of Open Access Journals (Sweden)

    Mehmet Şimşir

    2016-01-01

    Full Text Available Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors encounter previously defined and undefined faults under operation. It may inevitably lead to the interruption of the electromechanical system operation; hence, economic losses take place at certain times. Therefore, in order to maintain system operation sustainability, the motor should be precisely monitored and the faults are diagnosed considering various significant motor parameters. In this study, the artificial feedforward backpropagation neural network approach is proposed to real-time monitor and diagnose the faults of the hub motor by measuring seven main system parameters. So as to construct a necessary model, we trained the model, using a data set consisting of 4160 samples where each has 7 parameters, by the MATLAB environment until the best model is obtained. The results are encouraging and meaningful for the specific motor and the developed model may be applicable to other types of hub motors. The prosperous model of the whole system was embedded into Arduino Due microcontroller card and the mobile real-time monitoring and fault diagnosis system prototype for hub motor was designed and manufactured.

  1. A Parent Training Model for Toilet Training Children with Autism

    Science.gov (United States)

    Kroeger, K.; Sorensen, R.

    2010-01-01

    Background: Azrin & Foxx pioneered an intensive toilet training protocol for individuals with intellectual disability living in a residential setting. Since the development of the Rapid Toilet Training (RTT) protocol, many have replicated the efficacy, most notably in educational and outpatient treatment settings, but often training over longer…

  2. Discrete-time quantum walk with feed-forward quantum coin.

    Science.gov (United States)

    Shikano, Yutaka; Wada, Tatsuaki; Horikawa, Junsei

    2014-03-21

    Constructing a discrete model like a cellular automaton is a powerful method for understanding various dynamical systems. However, the relationship between the discrete model and its continuous analogue is, in general, nontrivial. As a quantum-mechanical cellular automaton, a discrete-time quantum walk is defined to include various quantum dynamical behavior. Here we generalize a discrete-time quantum walk on a line into the feed-forward quantum coin model, which depends on the coin state of the previous step. We show that our proposed model has an anomalous slow diffusion characterized by the porous-medium equation, while the conventional discrete-time quantum walk model shows ballistic transport.

  3. Feed-forward regulation of microbisporicin biosynthesis in Microbispora corallina.

    Science.gov (United States)

    Foulston, Lucy; Bibb, Mervyn

    2011-06-01

    Lantibiotics are ribosomally synthesized, posttranslationally modified peptide antibiotics. Microbisporicin is a potent lantibiotic produced by the actinomycete Microbispora corallina and contains unique chlorinated tryptophan and dihydroxyproline residues. The biosynthetic gene cluster for microbisporicin encodes several putative regulatory proteins, including, uniquely, an extracytoplasmic function (ECF) σ factor, σ(MibX), a likely cognate anti-σ factor, MibW, and a potential helix-turn-helix DNA binding protein, MibR. Here we examine the roles of these proteins in regulating microbisporicin biosynthesis. S1 nuclease protection assays were used to determine transcriptional start sites in the microbisporicin gene cluster and confirmed the presence of the likely ECF sigma factor -10 and -35 sequences in five out of six promoters. In contrast, the promoter of mibA, encoding the microbisporicin prepropeptide, has a typical Streptomyces vegetative sigma factor consensus sequence. The ECF sigma factor σ(MibX) was shown to interact with the putative anti-sigma factor MibW in Escherichia coli using bacterial two-hybrid analysis. σ(MibX) autoregulates its own expression but does not directly regulate expression of mibA. On the basis of quantitative reverse transcriptase PCR (qRT-PCR) data, we propose a model for the biosynthesis of microbisporicin in which MibR functions as an essential master regulator and the ECF sigma factor/anti-sigma factor pair, σ(MibX)/MibW, induces feed-forward biosynthesis of microbisporicin and producer immunity.

  4. Feedback and feedforward: Focal points for improving academic performance

    Directory of Open Access Journals (Sweden)

    María José García San Pedro

    2012-09-01

    Full Text Available The effective integration of competencies in university programmes follows a holistic and diversified assessment model and the educational potential development of students’ assessment results. This work questions: how are students informed about the results of their learning? Specifically, it aims to understand students’ and professors’ perspectives about the use of learning results and the strategies that are promoted in the practice of improved use of their educational potential. The results described are derived from a case study on 12 degree graduates adapted to the EEES. Although feedback and the feedfoward are strategies for informing students about their learning results, the results of the study show that their use is not entirely generalised and frequently only inform the grades obtained. Students identify the difference between knowing the grade and obtaining feedback. The relational dimension is also valued positively when students are informed about the results of their assessment. However, it seems that use of the educational potential is pending. The students say that the tutorials and the follow up through continual assessment helps to reduce failure. Also, the faculty identifies that reflection about the results obtained is very much linked to metacognitive reflection, although it is not generalised in practice. The students recognise the limitations and the work load involved for the professor to individually monitor them. The study is concluded with the need for systematically incorporating feedback and feedforward in teaching practices and offers guidelines for orienting these strategies towards improving academic performance.

  5. Model for behavior observation training programs

    International Nuclear Information System (INIS)

    Berghausen, P.E. Jr.

    1987-01-01

    Continued behavior observation is mandated by ANSI/ANS 3.3. This paper presents a model for behavior observation training that is in accordance with this standard and the recommendations contained in US NRC publications. The model includes seventeen major topics or activities. Ten of these are discussed: Pretesting of supervisor's knowledge of behavior observation requirements, explanation of the goals of behavior observation programs, why behavior observation training programs are needed (legal and psychological issues), early indicators of emotional instability, use of videotaped interviews to demonstrate significant psychopathology, practice recording behaviors, what to do when unusual behaviors are observed, supervisor rationalizations for noncompliance, when to be especially vigilant, and prevention of emotional instability

  6. A clinical application of the training model.

    Science.gov (United States)

    Gianotti, Patricia

    2010-03-01

    This article offers a perspective and a summary of Jack Danielian's (2010) Horneyan training model, highlighting the benefits of a meta-psychological approach for analysts in training and seasoned practitioners alike. To help illustrate the complexity of Karen Horney's views of character structure and character pathology, this article presents a model that reflects the dynamic tensions at play within individuals with narcissistic issues. It suggests that therapeutic listening can be tracked and that thematic material unfolds in a somewhat predictable, sequential, yet altogether systemic manner. Listening is not just art or intuition, nor is it merely interpretation of content based on a theoretical framework. It represents a way of holding the dialectic tension between conscious and unconscious, syntonic and dystonic. If we can better track these dynamic tensions, we can better anticipate and hopefully avoid clinical ruptures through the acting out of negative transference.

  7. Neural network hydrological modelling: on questions of over-fitting, over-training and over-parameterisation

    Science.gov (United States)

    Abrahart, R. J.; Dawson, C. W.; Heppenstall, A. J.; See, L. M.

    2009-04-01

    The most critical issue in developing a neural network model is generalisation: how well will the preferred solution perform when it is applied to unseen datasets? The reported experiments used far-reaching sequences of model architectures and training periods to investigate the potential damage that could result from the impact of several interrelated items: (i) over-fitting - a machine learning concept related to exceeding some optimal architectural size; (ii) over-training - a machine learning concept related to the amount of adjustment that is applied to a specific model - based on the understanding that too much fine-tuning might result in a model that had accommodated random aspects of its training dataset - items that had no causal relationship to the target function; and (iii) over-parameterisation - a statistical modelling concept that is used to restrict the number of parameters in a model so as to match the information content of its calibration dataset. The last item in this triplet stems from an understanding that excessive computational complexities might permit an absurd and false solution to be fitted to the available material. Numerous feedforward multilayered perceptrons were trialled and tested. Two different methods of model construction were also compared and contrasted: (i) traditional Backpropagation of Error; and (ii) state-of-the-art Symbiotic Adaptive Neuro-Evolution. Modelling solutions were developed using the reported experimental set ups of Gaume & Gosset (2003). The models were applied to a near-linear hydrological modelling scenario in which past upstream and past downstream discharge records were used to forecast current discharge at the downstream gauging station [CS1: River Marne]; and a non-linear hydrological modelling scenario in which past river discharge measurements and past local meteorological records (precipitation and evaporation) were used to forecast current discharge at the river gauging station [CS2: Le Sauzay].

  8. Finite-sample based learning algorithms for feedforward networks

    Energy Technology Data Exchange (ETDEWEB)

    Rao, N.S.V.; Protopopescu, V.; Mann, R.C.; Oblow, E.M. [Oak Ridge National Lab., TN (United States); Iyengar, S.S. [Louisiana State Univ., Baton Rouge, LA (United States). Dept. of Computer Science

    1995-04-01

    We discuss two classes of convergent algorithms for learning continuous functions (and also regression functions) that are represented by FeedForward Networks (FFN). The first class of algorithms, applicable to networks with unknown weights located only in the output layer, is obtained by utilizing the potential function methods of Aizerman et al. The second class, applicable to general feedforward networks, is obtained by utilizing the classical Robbins-Monro style stochastic approximation methods. Conditions relating the sample sizes to the error bounds are derived for both classes of algorithms using martingale-type inequalities. For concreteness, the discussion is presented in terms of neural networks, but the results are applicable to general feedforward networks, in particular to wavelet networks. The algorithms can also be directly applied to concept learning problems. A main distinguishing feature of the this work is that the sample sizes are based on explicit algorithms rather than information-based methods.

  9. Learning algorithms for feedforward networks based on finite samples

    Energy Technology Data Exchange (ETDEWEB)

    Rao, N.S.V.; Protopopescu, V.; Mann, R.C.; Oblow, E.M.; Iyengar, S.S.

    1994-09-01

    Two classes of convergent algorithms for learning continuous functions (and also regression functions) that are represented by feedforward networks, are discussed. The first class of algorithms, applicable to networks with unknown weights located only in the output layer, is obtained by utilizing the potential function methods of Aizerman et al. The second class, applicable to general feedforward networks, is obtained by utilizing the classical Robbins-Monro style stochastic approximation methods. Conditions relating the sample sizes to the error bounds are derived for both classes of algorithms using martingale-type inequalities. For concreteness, the discussion is presented in terms of neural networks, but the results are applicable to general feedforward networks, in particular to wavelet networks. The algorithms can be directly adapted to concept learning problems.

  10. Discriminative training of self-structuring hidden control neural models

    DEFF Research Database (Denmark)

    Sørensen, Helge Bjarup Dissing; Hartmann, Uwe; Hunnerup, Preben

    1995-01-01

    This paper presents a new training algorithm for self-structuring hidden control neural (SHC) models. The SHC models were trained non-discriminatively for speech recognition applications. Better recognition performance can generally be achieved, if discriminative training is applied instead. Thus...... we developed a discriminative training algorithm for SHC models, where each SHC model for a specific speech pattern is trained with utterances of the pattern to be recognized and with other utterances. The discriminative training of SHC neural models has been tested on the TIDIGITS database...

  11. A Training Model for Improving Journalists' Voice.

    Science.gov (United States)

    Rodero, Emma; Diaz-Rodriguez, Celia; Larrea, Olatz

    2017-06-06

    Voice education is a crucial aspect for professionals (journalists, teachers, politicians, actors, etc.) who use their voices as a working tool. The main concerns about such education are that, first, there is little awareness of the importance of voice education, and second there is little research devoted to it. The consequences of this lack of training are indeed visible in professionals who suffer voice pathologies or work with little effectiveness. This study seeks to overcome this deficiency by proposing a training model tested with a control group and a pilot study. Speech samples from a group of experimental participants-journalism students-were collected before and after a training course designed to improve their main vocal and prosodic features. These samples were contrasted with a control group without training. Results indicated significant differences in all tested voice elements (breathing, articulation, loudness, pitch, jitter, speech rate, pauses, and stress) except for shimmer and harmonics. The participants were able to enhance their main vocal and prosodic elements, and therefore their expressiveness maintaining optimal vocal hygiene. Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

  12. PAC learning algorithms for functions approximated by feedforward networks

    Energy Technology Data Exchange (ETDEWEB)

    Rao, N.S.V.; Protopopescu, V. [Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research

    1996-06-01

    The authors present a class of efficient algorithms for PAC learning continuous functions and regressions that are approximated by feedforward networks. The algorithms are applicable to networks with unknown weights located only in the output layer and are obtained by utilizing the potential function methods of Aizerman et al. Conditions relating the sample sizes to the error bounds are derived using martingale-type inequalities. For concreteness, the discussion is presented in terms of neural networks, but the results are applicable to general feedforward networks, in particular to wavelet networks. The algorithms can be directly adapted to concept learning problems.

  13. Feedforward Tracking Control of Flat Recurrent Fuzzy Systems

    Science.gov (United States)

    Gering, Stefan; Adamy, Jürgen

    2014-12-01

    Flatness based feedforward control has proven to be a feasible solution for the problem of tracking control, which may be applied to a broad class of nonlinear systems. If a flat output of the system is known, the control is often based on a feedforward controller generating a nominal input in combination with a linear controller stabilizing the linearized error dynamics around the trajectory. We show in this paper that the very same idea may be incorporated for tracking control of MIMO recurrent fuzzy systems. Their dynamics is given by means of linguistic differential equations but may be converted into a hybrid system representation, which then serves as the basis for controller synthesis.

  14. Teacher Training Models for a New South Africa.

    Science.gov (United States)

    Kachelhoffer, P. M.

    1995-01-01

    Discusses social change and educational realities in South Africa, noting the relatively poor qualifications of black teachers. The paper also examines South African teacher training models and presents teacher training models suitable for developing countries. (SM)

  15. Training mode's influences on the relationships between training-load models during basketball conditioning.

    Science.gov (United States)

    Scanlan, Aaron T; Wen, Neal; Tucker, Patrick S; Borges, Nattai R; Dalbo, Vincent J

    2014-09-01

    To compare perceptual and physiological training-load responses during various basketball training modes. Eight semiprofessional male basketball players (age 26.3 ± 6.7 y, height 188.1 ± 6.2 cm, body mass 92.0 ± 13.8 kg) were monitored across a 10-wk period in the preparatory phase of their training plan. Player session ratings of perceived exertion (sRPE) and heart-rate (HR) responses were gathered across base, specific, and tactical/game-play training modes. Pearson correlations were used to determine the relationships between the sRPE model and 2 HR-based models: the training impulse (TRIMP) and summated HR zones (SHRZ). One-way ANOVAs were used to compare training loads between training modes for each model. Stronger relationships between perceptual and physiological models were evident during base (sRPE-TRIMP r = .53, P training load than the TRIMP (15-65 AU) and SHRZ models (27-170 AU) transitioning between training modes. While the training-load models were significantly correlated during each training mode, weaker relationships were observed during specific conditioning. Comparisons suggest that the HR-based models were less effective in detecting periodized increases in training load, particularly during court-based, intermittent, multidirectional drills. The practical benefits and sensitivity of the sRPE model support its use across different basketball training modes.

  16. Feed-forward motor control of ultrafast, ballistic movements.

    Science.gov (United States)

    Kagaya, K; Patek, S N

    2016-02-01

    To circumvent the limits of muscle, ultrafast movements achieve high power through the use of springs and latches. The time scale of these movements is too short for control through typical neuromuscular mechanisms, thus ultrafast movements are either invariant or controlled prior to movement. We tested whether mantis shrimp (Stomatopoda: Neogonodactylus bredini) vary their ultrafast smashing strikes and, if so, how this control is achieved prior to movement. We collected high-speed images of strike mechanics and electromyograms of the extensor and flexor muscles that control spring compression and latch release. During spring compression, lateral extensor and flexor units were co-activated. The strike initiated several milliseconds after the flexor units ceased, suggesting that flexor activity prevents spring release and determines the timing of strike initiation. We used linear mixed models and Akaike's information criterion to serially evaluate multiple hypotheses for control mechanisms. We found that variation in spring compression and strike angular velocity were statistically explained by spike activity of the extensor muscle. The results show that mantis shrimp can generate kinematically variable strikes and that their kinematics can be changed through adjustments to motor activity prior to the movement, thus supporting an upstream, central-nervous-system-based control of ultrafast movement. Based on these and other findings, we present a shishiodoshi model that illustrates alternative models of control in biological ballistic systems. The discovery of feed-forward control in mantis shrimp sets the stage for the assessment of targets, strategic variation in kinematics and the role of learning in ultrafast animals. © 2016. Published by The Company of Biologists Ltd.

  17. The relationships between internal and external training load models during basketball training.

    Science.gov (United States)

    Scanlan, Aaron T; Wen, Neal; Tucker, Patrick S; Dalbo, Vincent J

    2014-09-01

    The present investigation described and compared the internal and external training loads during basketball training. Eight semiprofessional male basketball players (mean ± SD, age: 26.3 ± 6.7 years; stature: 188.1 ± 6.2 cm; body mass: 92.0 ± 13.8 kg) were monitored across a 7-week period during the preparatory phase of the annual training plan. A total of 44 total sessions were monitored. Player session ratings of perceived exertion (sRPE), heart rate, and accelerometer data were collected across each training session. Internal training load was determined using the sRPE, training impulse (TRIMP), and summated-heart-rate-zones (SHRZ) training load models. External training load was calculated using an established accelerometer algorithm. Pearson product-moment correlations with 95% confidence intervals (CIs) were used to determine the relationships between internal and external training load models. Significant moderate relationships were observed between external training load and the sRPE (r42 = 0.49, 95% CI = 0.23-0.69, p training load and the SHRZ model (r42 = 0.61, 95% CI = 0.38-0.77, p training load models, the magnitude of the correlations and low commonality suggest that internal training load models measure different constructs of the training process than the accelerometer training load model in basketball settings. Basketball coaching and conditioning professionals should not assume a linear dose-response between accelerometer and internal training load models during training and are recommended to combine internal and external approaches when monitoring training load in players.

  18. A podcasting-based pre-service teacher training model

    Directory of Open Access Journals (Sweden)

    Jing Zhao

    2012-03-01

    Full Text Available Podcasting has been increasingly used as a new approach to broadcasting information. In the educational field, podcasting offers plenty of opportunities to improve and facilitate pre-service teacher training in normal schools. This study analyses the practice of using podcasting for teaching skills training, and proposes a TSTP (Teaching Skills Training on Podcasting model to improve the training effectiveness.

  19. Classes of feedforward neural networks and their circuit complexity

    NARCIS (Netherlands)

    Shawe-Taylor, John S.; Anthony, Martin H.G.; Kern, Walter

    1992-01-01

    This paper aims to place neural networks in the context of boolean circuit complexity. We define appropriate classes of feedforward neural networks with specified fan-in, accuracy of computation and depth and using techniques of communication complexity proceed to show that the classes fit into a

  20. Classification of Urinary Calculi using Feed-Forward Neural Networks

    African Journals Online (AJOL)

    In this work the results of classification of these types of calculi (using their infrared spectra in the region 1450–450 cm–1) by feed-forward neural networks are presented. Genetic algorithms were used for optimization of neural networks and for selection of the spectral regions most suitable for classification purposes.

  1. Feed-Forward Neural Networks and Minimal Search Space Learning

    Czech Academy of Sciences Publication Activity Database

    Neruda, Roman

    2005-01-01

    Roč. 4, č. 12 (2005), s. 1867-1872 ISSN 1109-2750 R&D Projects: GA ČR GA201/05/0557 Institutional research plan: CEZ:AV0Z10300504 Keywords : search space * feed-forward networks * genetic algorithm s Subject RIV: BA - General Mathematics

  2. An overview of the Zhejiang Model of Teacher Training

    OpenAIRE

    Zheng, Dan-Dan; Gao, Yabing; Wang, Chao

    2012-01-01

    The quality of teacher training directly affects the quality of primary and secondary school teachers’ professional development and indirectly affects the quality of primary and secondary school education. With an interest in teacher development, this paper presents an overview of the Zhejiang model of teacher training, with specific reference to the training of Chinese language teachers. This paper analyses the guidance of government’s teacher training policy, the design of training programm...

  3. Testing algorithms for a passenger train braking performance model.

    Science.gov (United States)

    2011-09-01

    "The Federal Railroad Administrations Office of Research and Development funded a project to establish performance model to develop, analyze, and test positive train control (PTC) braking algorithms for passenger train operations. With a good brak...

  4. Development of a Generic Didactic Model for Simulator Training

    National Research Council Canada - National Science Library

    Emmerik, M

    1997-01-01

    .... The development of such a model is motivated by the need to control training and instruction factors in research on simulator fidelity, the need to assess the benefit of training simulators, e.g...

  5. Australian and overseas models of general practice training.

    Science.gov (United States)

    Hays, Richard B; Morgan, Simon

    2011-06-06

    General practice training in Australia continues to evolve. It is now the responsibility of an independent organisation, is delivered by regional training providers, and comprises a structured training program. Overseas, general practice varies in its importance to health care systems, and training models differ considerably. In some cases training is mandatory, in others voluntary, but the aim is always similar--to improve the quality of care delivered to the large majority of populations that access health care through primary care. We review the current status of vocational general practice training in Australia, compare it with selected training programs in international contexts, and describe how the local model is well placed to address future challenges. Challenges include changes in population demographics, increasing comorbidity, increasing costs of technology-based health care, increasing globalisation of health, and workforce shortages. Although general practice training in Australia is strong, it can improve further by learning from other training programs to meet these challengers.

  6. Modeling and Solving the Train Pathing Problem

    Directory of Open Access Journals (Sweden)

    Chuen-Yih Chen

    2009-04-01

    Full Text Available In a railroad system, train pathing is concerned with the assignment of trains to links and tracks, and train timetabling allocates time slots to trains. In this paper, we present an optimization heuristic to solve the train pathing and timetabling problem. This heuristic allows the dwell time of trains in a station or link to be dependent on the assigned tracks. It also allows the minimum clearance time between the trains to depend on their relative status. The heuristic generates a number of alternative paths for each train service in the initialization phase. Then it uses a neighborhood search approach to find good feasible combinations of these paths. A linear program is developed to evaluate the quality of each combination that is encountered. Numerical examples are provided.

  7. Declarative terrain modeling for military training games

    NARCIS (Netherlands)

    Smelik, R.M.; Tutenel, T.; Kraker, J.K.. de; Bidarra, R.

    2010-01-01

    Military training instructors increasingly often employ computer games to train soldiers in all sorts of skills and tactics. One of the difficulties instructors face when using games as a training tool is the creation of suitable content, including scenarios, entities, and corresponding terrain

  8. Efficient Feedforward Linearization Technique Using Genetic Algorithms for OFDM Systems

    Directory of Open Access Journals (Sweden)

    García Paloma

    2010-01-01

    Full Text Available Feedforward is a linearization method that simultaneously offers wide bandwidth and good intermodulation distortion suppression; so it is a good choice for Orthogonal Frequency Division Multiplexing (OFDM systems. Feedforward structure consists of two loops, being necessary an accurate adjustment between them along the time, and when temperature, environmental, or operating changes are produced. Amplitude and phase imbalances of the circuit elements in both loops produce mismatched effects that lead to degrade its performance. A method is proposed to compensate these mismatches, introducing two complex coefficients calculated by means of a genetic algorithm. A full study is carried out to choose the optimal parameters of the genetic algorithm applied to wideband systems based on OFDM technologies, which are very sensitive to nonlinear distortions. The method functionality has been verified by means of simulation.

  9. A pedagogical model for integrative training in conservation and sustainability

    Science.gov (United States)

    Meredith Welch-Devine; Dean Hardy; J. Peter Brosius; Nik Heynen

    2014-01-01

    The benefits and challenges of interdisciplinary training are well documented, and several reviews have discussed the particular importance of interdisciplinary training for conservation scholars and practitioners. We discuss the progress within one university program to implement specific training models, elements, and tools designed to move beyond remaining barriers...

  10. A Model of the Antecedents of Training Transfer

    Science.gov (United States)

    Mohammed Turab, Ghaneemah; Casimir, Gian

    2015-01-01

    Many organizations have invested heavily in training. However, only a small percentage of what is learnt from training is applied or transferred to the workplace. This study examines factors that influence training transfer. A conceptual model based on the Theory of Reasoned Action is hypothesized and tested. The sample consisted of 123 full-time…

  11. Simulation of ammoniacal nitrogen effluent using feedforward ...

    African Journals Online (AJOL)

    Ammoniacal nitrogen in domestic wastewater treatment plants has recently been added as the monitoring parameter by the Department of Environment, Malaysia. It is necessary to obtain a suitable model for the simulation of ammonical nitrogen in the effluent stream of sewage treatment plant in order to meet the new ...

  12. Dynamics of the Cogwheel Instructional Design Model: Integrating a Central Training Center with Subordinate Training Branches

    Science.gov (United States)

    Kim, Min Kyu

    2010-01-01

    This article discusses an effort to improve training performance in a large corporate conglomerate in South Korea. In particular, focus is placed on a new instructional design (ID) model named the Cogwheel ID model. The cogwheel metaphor is used to illustrate the integrated processes within complex training organizations, including organizational,…

  13. Soliton generation from a fundamentally mode-locked fiber laser with a feed-forward path

    Science.gov (United States)

    Wang, Ruixin; Dai, Yitang; Yin, Feifei; Xu, Kun; Li, Jianqiang; Lin, Jintong

    2014-08-01

    We demonstrate for the first time to our knowledge, the soliton generation from a mode-locked erbium-doped fiber laser using a novel saturable absorber (SA), which is realized by combining a dual-drive modulator and an intensity feed-forward path. The laser is fundamentally mode-locked under high-frequency RF signal modulation. Experimentally, the actively mode-locked laser produces a 16.7 MHz repetition rate pulse train with a 1.4 ps pulse width, and the spectrum bandwidth is 2.17 nm. The results demonstrate that the SA supports soliton pulse shaping in the cavity at the fundamental frequency.

  14. Cross-trained workforce planning models

    OpenAIRE

    Ross, Emma

    2017-01-01

    Cross-training has emerged as an effective method for increasing workforce flexibility in the face of uncertain demand. Despite recently receiving substantial attention in workforce planning literature, a number of challenges towards making the best use of cross-training remain. Most notably, approaches to automating the allocation of workers to their skills are typically not scalable to industrial sized problems. Secondly, insights into the nature of valuable cross-training actions are restr...

  15. Southwest University's No-Fee Teacher-Training Model

    Science.gov (United States)

    Chen, Shijian; Yang, Shuhan; Li, Linyuan

    2013-01-01

    The training model for Southwest University's no-fee teacher education program has taken shape over several years. Based on a review of the documentation and interviews with administrators and no-fee preservice students from different specialties, this article analyzes Southwest University's no-fee teacher-training model in terms of three main…

  16. Finite Elements Contact Modelling of Planetary Gear Trains

    Science.gov (United States)

    Stoyanov, Svetlin; Dobrev, Vasko; Dobreva, Antoaneta

    2017-10-01

    The paper presents the application aspects of computer technologies concerning the process of creating theoretical contact models of planetary gear trains using Abaqus/Explicit. The necessary assumptions, constrains and specific features of these gear drives are discussed in details. The models created are appropriate and useful tools for computer simulation research of the dynamic behaviour of planetary gear trains.

  17. Relative effectiveness of assertive training, modelling and their ...

    African Journals Online (AJOL)

    The study investigated the Relative Effectiveness of Assertive Training (AT), modelling (M) and a combination of Assertive Training and Modelling (AT & M) techniques in improving the social skills of primary school isolates and consequently reduce their isolate behaviour. The study is a quasi experimental research that ...

  18. An animal model to train Lichtenstein inguinal hernia repair

    DEFF Research Database (Denmark)

    Rosenberg, J; Presch, I; Pommergaard, H C

    2013-01-01

    pigs, and a total of 55 surgeons have been educated to perform Lichtenstein's hernia repair in these animals. CONCLUSIONS: This new experimental surgical model for training Lichtenstein's hernia repair mimics the human inguinal anatomy enough to make it suitable as a training model. The operation...

  19. Activation of response force by self-splitting objects: where are the limits of feedforward Gestalt processing?

    Science.gov (United States)

    Schmidt, Filipp; Weber, Andreas; Schmidt, Thomas

    2014-08-21

    Most objects can be recognized easily even when they are partly occluded. This also holds when several overlapping objects share the same surface features (self-splitting objects) which is an illustration of the grouping principle of Good Gestalt. We employed outline and filled contour stimuli in a primed flanker task to test whether the processing of self-splitting objects is in accordance with a simple feedforward model. We obtained priming effects in response time and response force for both types of stimuli, even when increasing the number of occluders up to three. The results for outline contours were in full accordance with a feedforward account. This was not the case for the results for filled contours (i.e., for self-splitting objects), especially under conditions of strong occlusion. We conclude that the implementation of the Good Gestalt principle is fast but still based on recurrent processing. © 2014 ARVO.

  20. Limitations of Feedback, Feedforward and IMC Controller for a First Order Non-Linear Process with Dead Time

    Directory of Open Access Journals (Sweden)

    Maruthai Suresh

    2010-10-01

    Full Text Available A nonlinear process, the heat exchanger whose parameters vary with respect to the process variable, is considered. The time constant and gain of the chosen process vary as a function of temperature. The limitations of the conventional feedback controller tuned using Ziegler-Nichols settings for the chosen process are brought out. The servo and regulatory responses through simulation and experimentation for various magnitudes of set-point changes and load changes at various operating points with the controller tuned only at a chosen nominal operating point are obtained and analyzed. Regulatory responses for output load changes are studied. The efficiency of feedforward controller and the effects of modeling error have been brought out. An IMC based system is presented to understand clearly how variations of system parameters affect the performance of the controller. The present work illustrates the effectiveness of Feedforward and IMC controller.

  1. System Dynamics and Feedforward Control for Tether-Net Space Robot System

    Directory of Open Access Journals (Sweden)

    Guang Zhai

    2009-06-01

    Full Text Available A new concept using flexible tether-net system to capture space debris is presented in this paper. With a mass point assumption the tether-net system dynamic model is established in orbital frame by applying Lagrange Equations. In order to investigate the net in-plane trajectories during after cast, the non-control R-bar and V-bar captures are simulated with ignoring the out-of-plane libration, the effect of in-plane libration on the trajectories of the capture net is demonstrated by simulation results. With an effort to damp the in-plane libration, the control scheme based on tether tension is investigated firstly, after that an integrated control scheme is proposed by introduced the thrusters into the system, the nonlinear close-loop dynamics is linearised by feedforward strategy, the simulation results show that feedforward controllor is effective for in-plane libration damping and enable the capture net to track an expected trajectory.

  2. System Dynamics and Feedforward Control for Tether-Net Space Robot System

    Directory of Open Access Journals (Sweden)

    Bin Liang

    2009-11-01

    Full Text Available A new concept using flexible tether-net system to capture space debris is presented in this paper. With a mass point assumption the tether-net system dynamic model is established in orbital frame by applying Lagrange Equations. In order to investigate the net in-plane trajectories during after cast, the non-control R-bar and V-bar captures are simulated with ignoring the out-of-plane libration, the effect of in-plane libration on the trajectories of the capture net is demonstrated by simulation results. With an effort to damp the in-plane libration, the control scheme based on tether tension is investigated firstly, after that an integrated control scheme is proposed by introduced the thrusters into the system, the nonlinear close-loop dynamics is linearised by feedforward strategy, the simulation results show that feedforward controllor is effective for in-plane libration damping and enable the capture net to track an expected trajectory.

  3. Perceptual decision-making difficulty modulates feedforward effective connectivity to the dorsolateral prefrontal cortex

    Directory of Open Access Journals (Sweden)

    Bidhan eLamichhane

    2015-09-01

    Full Text Available Diverse cortical structures are known to coordinate activity as a network in relaying and processing of visual information to discriminate visual objects. However, how this discrimination is achieved is still largely unknown. To contribute to answering this question, we used face-house categorization tasks with three levels of noise in face and house images in functional magnetic resonance imaging (fMRI experiments involving thirty-three participants. The behavioral performance error and response time (RT were correlated with noise in face-house images. We then built dynamical causal models (DCM of fMRI blood-oxygenation level dependent (BOLD signals from the face and house category-specific regions in ventral temporal cortex, the fusiform face area (FFA and parahippocampal place area (PPA, and the dorsolateral prefrontal cortex (dlPFC. We found a strong feed-forward intrinsic connectivity pattern from FFA and PPA to dlPFC. Importantly, the feed-forward connectivity to dlPFC was significantly modulated by the perception of both faces and houses. The dlPFC-BOLD activity, the connectivity from FFA and PPA to the dlPFC all increased with noise level. These results suggest that the FFA-PPA-dlPFC network plays an important role for relaying and integrating competing sensory information to arrive at perceptual decisions.

  4. Common modelling approaches for training simulators for nuclear power plants

    International Nuclear Information System (INIS)

    1990-02-01

    Training simulators for nuclear power plant operating staff have gained increasing importance over the last twenty years. One of the recommendations of the 1983 IAEA Specialists' Meeting on Nuclear Power Plant Training Simulators in Helsinki was to organize a Co-ordinated Research Programme (CRP) on some aspects of training simulators. The goal statement was: ''To establish and maintain a common approach to modelling for nuclear training simulators based on defined training requirements''. Before adapting this goal statement, the participants considered many alternatives for defining the common aspects of training simulator models, such as the programming language used, the nature of the simulator computer system, the size of the simulation computers, the scope of simulation. The participants agreed that it was the training requirements that defined the need for a simulator, the scope of models and hence the type of computer complex that was required, the criteria for fidelity and verification, and was therefore the most appropriate basis for the commonality of modelling approaches. It should be noted that the Co-ordinated Research Programme was restricted, for a variety of reasons, to consider only a few aspects of training simulators. This report reflects these limitations, and covers only the topics considered within the scope of the programme. The information in this document is intended as an aid for operating organizations to identify possible modelling approaches for training simulators for nuclear power plants. 33 refs

  5. Rasmussen's model of human behavior in laparoscopy training.

    Science.gov (United States)

    Wentink, M; Stassen, L P S; Alwayn, I; Hosman, R J A W; Stassen, H G

    2003-08-01

    Compared to aviation, where virtual reality (VR) training has been standardized and simulators have proven their benefits, the objectives, needs, and means of VR training in minimally invasive surgery (MIS) still have to be established. The aim of the study presented is to introduce Rasmussen's model of human behavior as a practical framework for the definition of the training objectives, needs, and means in MIS. Rasmussen distinguishes three levels of human behavior: skill-, rule-, and knowledge-based behaviour. The training needs of a laparoscopic novice can be determined by identifying the specific skill-, rule-, and knowledge-based behavior that is required for performing safe laparoscopy. Future objectives of VR laparoscopy trainers should address all three levels of behavior. Although most commercially available simulators for laparoscopy aim at training skill-based behavior, especially the training of knowledge-based behavior during complications in surgery will improve safety levels. However, the cost and complexity of a training means increases when the training objectives proceed from the training of skill-based behavior to the training of complex knowledge-based behavior. In aviation, human behavior models have been used successfully to integrate the training of skill-, rule-, and knowledge-based behavior in a full flight simulator. Understanding surgeon behavior is one of the first steps towards a future full-scale laparoscopy simulator.

  6. Standardized training in nurse model travel clinics.

    Science.gov (United States)

    Sofarelli, Theresa A; Ricks, Jane H; Anand, Rahul; Hale, Devon C

    2011-01-01

    International travel plays a significant role in the emergence and redistribution of major human diseases. The importance of travel medicine clinics for preventing morbidity and mortality has been increasingly appreciated, although few studies have thus far examined the management and staff training strategies that result in successful travel-clinic operations. Here, we describe an example of travel-clinic operation and management coordinated through the University of Utah School of Medicine, Division of Infectious Diseases. This program, which involves eight separate clinics distributed statewide, functions both to provide patient consult and care services, as well as medical provider training and continuing medical education (CME). Initial training, the use of standardized forms and protocols, routine chart reviews and monthly continuing education meetings are the distinguishing attributes of this program. An Infectious Disease team consisting of one medical doctor (MD) and a physician assistant (PA) act as consultants to travel nurses who comprise the majority of clinic staff. Eight clinics distributed throughout the state of Utah serve approximately 6,000 travelers a year. Pre-travel medical services are provided by 11 nurses, including 10 registered nurses (RNs) and 1 licensed practical nurse (LPN). This trained nursing staff receives continuing travel medical education and participate in the training of new providers. All nurses have completed a full training program and 7 of the 11 (64%) of clinic nursing staff serve more than 10 patients a week. Quality assurance measures show that approximately 0.5% of charts reviewed contain a vaccine or prescription error which require patient notification for correction. Using an initial training program, standardized patient intake forms, vaccine and prescription protocols, preprinted prescriptions, and regular CME, highly trained nurses at travel clinics are able to provide standardized pre-travel care to

  7. Model training tasks as a tool for the construction of training process for athletes in team sports

    Directory of Open Access Journals (Sweden)

    Viktor Kostyukevich

    2016-06-01

    Full Text Available The paper substantiates the design of the training process of athletes in team sports during an annual training cycle on the basis of model training tasks. The model training tasks are developed along with micro-and mesocycles, periods, and annual cycle for preparation of elite female volleyball players. The ratio of the training means and various types of training loads in the periods of macrocycle were determined. Introduction of model training tasks into the training process in team sports allows to efficiently plan and optimize the preparation of athletes, as well as to implement the principle of individualization in the development of a coherent team.

  8. Pilot-aided feedforward data recovery in optical coherent communications

    Science.gov (United States)

    Qi, Bing

    2017-09-19

    A method and a system for pilot-aided feedforward data recovery are provided. The method and system include a receiver including a strong local oscillator operating in a free running mode independent of a signal light source. The phase relation between the signal light source and the local oscillator source is determined based on quadrature measurements on pilot pulses from the signal light source. Using the above phase relation, information encoded in an incoming signal can be recovered, optionally for use in communication with classical coherent communication protocols and quantum communication protocols.

  9. Transfer Learning for OCRopus Model Training on Early Printed Books

    Directory of Open Access Journals (Sweden)

    Christian Reul

    2017-12-01

    Full Text Available A method is presented that significantly reduces the character error rates for OCR text obtained from OCRopus models trained on early printed books when only small amounts of diplomatic transcriptions are available. This is achieved by building from already existing models during training instead of starting from scratch. To overcome the discrepancies between the set of characters of the pretrained model and the additional ground truth the OCRopus code is adapted to allow for alphabet expansion or reduction. The character set is now capable of flexibly adding and deleting characters from the pretrained alphabet when an existing model is loaded. For our experiments we use a self-trained mixed model on early Latin prints and the two standard OCRopus models on modern English and German Fraktur texts. The evaluation on seven early printed books showed that training from the Latin mixed model reduces the average amount of errors by 43% and 26%, compared to training from scratch with 60 and 150 lines of ground truth, respectively. Furthermore, it is shown that even building from mixed models trained on standard data unrelated to the newly added training and test data can lead to significantly improved recognition results.

  10. Interactive training model of TRIZ for mechanical engineers in China

    Science.gov (United States)

    Tan, Runhua; Zhang, Huangao

    2014-03-01

    Innovation is a process of taking an original idea and converting it into a business value, in which the engineers face some inventive problems which can be solved hardly by experience. TRIZ, as a new theory for companies in China, provides both conceptual and procedural knowledge for finding and solving inventive problems. Because the government plays a leading role in the diffusion of TRIZ, too many companies from different industries are waiting to be trained, but the quantity of the trainers mastering TRIZ is incompatible with that requirement. In this context, to improve the training effect, an interactive training model of TRIZ for the mechanical engineers in China is developed and the implementation in the form of training classes is carried out. The training process is divided into 6 phases as follows: selecting engineers, training stage-1, finding problems, training stage-2, finding solutions and summing up. The government, TRIZ institutions and companies to join the programs interact during the process. The government initiates and monitors a project in form of a training class of TRIZ and selects companies to join the programs. Each selected companies choose a few engineers to join the class and supervises the training result. The TRIZ institutions design the training courses and carry out training curriculum. With the beginning of the class, an effective communication channel is established by means of interview, discussion face to face, E-mail, QQ and so on. After two years training practices, the results show that innovative abilities of the engineers to join and pass the final examinations increased distinctly, and most of companies joined the training class have taken congnizance of the power of TRIZ for product innovation. This research proposes an interactive training model of TRIZ for mechanical engineers in China to expedite the knowledge diffusion of TRIZ.

  11. Virtual Laparoscopic Training System Based on VCH Model.

    Science.gov (United States)

    Tang, Jiangzhou; Xu, Lang; He, Longjun; Guan, Songluan; Ming, Xing; Liu, Qian

    2017-04-01

    Laparoscopy has been widely used to perform abdominal surgeries, as it is advantageous in that the patients experience lower post-surgical trauma, shorter convalescence, and less pain as compared to traditional surgery. Laparoscopic surgeries require precision; therefore, it is imperative to train surgeons to reduce the risk of operation. Laparoscopic simulators offer a highly realistic surgical environment by using virtual reality technology, and it can improve the training efficiency of laparoscopic surgery. This paper presents a virtual Laparoscopic surgery system. The proposed system utilizes the Visible Chinese Human (VCH) to construct the virtual models and simulates real-time deformation with both improved special mass-spring model and morph target animation. Meanwhile, an external device that integrates two five-degrees-of-freedom (5-DOF) manipulators was designed and made to interact with the virtual system. In addition, the proposed system provides a modular tool based on Unity3D to define the functions and features of instruments and organs, which could help users to build surgical training scenarios quickly. The proposed virtual laparoscopic training system offers two kinds of training mode, skills training and surgery training. In the skills training mode, the surgeons are mainly trained for basic operations, such as laparoscopic camera, needle, grasp, electric coagulation, and suturing. In the surgery-training mode, the surgeons can practice cholecystectomy and removal of hepatic cysts by guided or non-guided teaching.

  12. Preliminary development of the Active Colonoscopy Training Model

    Directory of Open Access Journals (Sweden)

    Choi J

    2011-06-01

    Full Text Available JungHun Choi1, Kale Ravindra1, Randolph Robert1, David Drozek21Mechanical Engineering, Ohio University, Athens, OH, USA; 2College of Osteopathic Medicine, Ohio University, Athens, OH, USAAbstract: Formal colonoscopy training requires a significant amount of time and effort. In particular, it requires actual patients for a realistic learning experience. The quality of colonoscopy training varies, and includes didactic courses and procedures proctored by skilled surgeons. A colonoscopy training model is occasionally used as part of the training method, but the effects are minute due to both the simple and tedious training procedures. To enhance the educational effect of the colonoscopy training model, the Active Colonoscopy Training Model (ACTM has been developed. ACTM is an interactive colonoscopy training device which can create the environment of a real colonoscopy procedure as closely as possible. It comprises a configurable rubber colon, a human torso, sensors, a display, and the control part. The ACTM provides audio and visual interaction to the trainee by monitoring important factors, such as forces caused by the distal tip and the shaft of the colonoscope and the pressure to open up the lumen and the localization of the distal tip. On the computer screen, the trainee can easily monitor the status of the colonoscopy, which includes the localization of the distal tip, maximum forces, pressure inside the colon, and surgery time. The forces between the rubber colon and the constraints inside the ACTM are measured and the real time display shows the results to the trainee. The pressure sensors will check the pressure at different parts of the colon. The real-time localized distal tip gives the colonoscopy trainee easier and more confident operation without introducing an additional device in the colonoscope. With the current need for colonoscopists and physicians, the ACTM can play an essential role resolving the problems of the current

  13. Thiel embalming method for cadaver preservation: a review of new training model for urologic skills training.

    Science.gov (United States)

    Healy, Samuel E; Rai, Bhavan Prasad; Biyani, Chandra Shekhar; Eisma, Roos; Soames, Roger W; Nabi, Ghulam

    2015-03-01

    The use of endourology training models is on the rise. Surgical practice is moving toward a more minimally invasive approach and deficits in surgical exposure by enforcement of the European Working Time Directive call for simulation models to be anatomically sound. Thiel-embalmed cadavers have been found to demonstrate efficacy in tissue quality, elasticity, and handling in addition to playing a role in teaching and training. This review summarizes the current status of the Thiel method and its role in urologic skills training. Copyright © 2015 Elsevier Inc. All rights reserved.

  14. Further Evaluation of a Brief, Intensive Teacher-Training Model

    Science.gov (United States)

    Lerman, Dorothea C.; Tetreault, Allison; Hovanetz, Alyson; Strobel, Margaret; Garro, Joanie

    2008-01-01

    The purpose of this study was to further evaluate the outcomes of a model program that was designed to train current teachers of children with autism. Nine certified special education teachers participating in an intensive 5-day summer training program were taught a relatively large number of specific skills in two areas (preference assessment and…

  15. Stochastic modelling of train delays and delay propagation in stations

    NARCIS (Netherlands)

    Yuan, J.

    2006-01-01

    A trade-off exists between efficiently utilizing the capacity of railway networks and improving the reliability and punctuality of train operations. This dissertation presents a new analytical probability model based on blocking time theory which estimates the knock-on delays of trains caused by

  16. Modeling Cultural Behavior for Military Virtual Training

    NARCIS (Netherlands)

    Bosch, K. van den; Kerbusch, P.J.M.; Schram, J.

    2012-01-01

    Soldiers on mission in areas with unfamiliar cultures must be able to take into account the norms of the local culture when assessing a situation, and must be able to adapt their behavior accordingly. Innovative technologies provide opportunity to train the required skills in an interactive and

  17. Modeling cultural behavior for military virtual training

    NARCIS (Netherlands)

    Kerbusch, P.; Schram, J.; Bosch, K. van den

    2011-01-01

    Soldiers on mission in areas with unfamiliar cultures must be able to take into account the norms of the local culture when assessing a situation, and must be able to adapt their behavior accordingly. Innovative technologies provide opportunity to train the required skills in an interactive and

  18. Addressing Development Vision 2025: Appropriate Training Models ...

    African Journals Online (AJOL)

    Appropriately trained Human Resources for Health (HRH) are key inputs in the realisation of high quality livelihood, the first attribute of Tanzania‟s Development Vision 2025. Within this attribute elements related to HRH include: access to quality primary health care for all, reduction in infant and maternal mortality rates by ...

  19. Improving Training Results through Behavior Modeling.

    Science.gov (United States)

    Arwady, Joseph W.

    1984-01-01

    Contains a partial inventory of sales training strategies and video techniques that heighten viewer involvement and promote transfer of learning to performance situations such as selling. These strategies have been used by Monroe Systems for Business, a manufacturer and distributor of business calculating equipment which recently expanded its…

  20. Modeling the Optimization of Intermodal Train Schedules

    DEFF Research Database (Denmark)

    Pedersen, Michael Berliner; Crainic, Teodor Gabriel

    In order to see a shift in modal split in favour of trains as envisioned by the European Union it is necessary for intermodal transport solutions to compete with trucking. Assuming it is possible to compete on price it is necessary to achieve transit times in intermodal networks that are similar...

  1. A novel memristive multilayer feedforward small-world neural network with its applications in PID control.

    Science.gov (United States)

    Dong, Zhekang; Duan, Shukai; Hu, Xiaofang; Wang, Lidan; Li, Hai

    2014-01-01

    In this paper, we present an implementation scheme of memristor-based multilayer feedforward small-world neural network (MFSNN) inspirited by the lack of the hardware realization of the MFSNN on account of the need of a large number of electronic neurons and synapses. More specially, a mathematical closed-form charge-governed memristor model is presented with derivation procedures and the corresponding Simulink model is presented, which is an essential block for realizing the memristive synapse and the activation function in electronic neurons. Furthermore, we investigate a more intelligent memristive PID controller by incorporating the proposed MFSNN into intelligent PID control based on the advantages of the memristive MFSNN on computation speed and accuracy. Finally, numerical simulations have demonstrated the effectiveness of the proposed scheme.

  2. A Novel Memristive Multilayer Feedforward Small-World Neural Network with Its Applications in PID Control

    Science.gov (United States)

    Dong, Zhekang; Duan, Shukai; Hu, Xiaofang; Wang, Lidan

    2014-01-01

    In this paper, we present an implementation scheme of memristor-based multilayer feedforward small-world neural network (MFSNN) inspirited by the lack of the hardware realization of the MFSNN on account of the need of a large number of electronic neurons and synapses. More specially, a mathematical closed-form charge-governed memristor model is presented with derivation procedures and the corresponding Simulink model is presented, which is an essential block for realizing the memristive synapse and the activation function in electronic neurons. Furthermore, we investigate a more intelligent memristive PID controller by incorporating the proposed MFSNN into intelligent PID control based on the advantages of the memristive MFSNN on computation speed and accuracy. Finally, numerical simulations have demonstrated the effectiveness of the proposed scheme. PMID:25202723

  3. Preparing radiology staff to meet service goals: a training model.

    Science.gov (United States)

    Ricciardone, E B; Stepanovich, P H; West, V T

    1994-01-01

    This article describes a model used to train radiology staff in customer service relations at a large southeastern medical center. Information about the needs of the radiology department and staff was acquired through quantitative and qualitative assessments. The primary goal of the training was twofold: 1) to develop employee awareness of customer expectations and 2) to develop problem-solving skills to respond to customer service related issues. Instructional methods compatible with adult learning were used and training results were assessed. Positive changes in employee attitudes and behaviors are described and recommendations for training development and implementation are discussed.

  4. Spreadsheet Decision Support Model for Training Exercise Material Requirements Planning

    National Research Council Canada - National Science Library

    Tringali, Arthur

    1997-01-01

    ... associated with military training exercises. The model combines the business practice of Material Requirements Planning and the commercial spreadsheet software capabilities of Lotus 1-2-3 to calculate the requirements for food, consumable...

  5. Systems Engineering Model and Training Application for Desktop Environment

    Science.gov (United States)

    May, Jeffrey T.

    2010-01-01

    Provide a graphical user interface based simulator for desktop training, operations and procedure development and system reference. This simulator allows for engineers to train and further understand the dynamics of their system from their local desktops. It allows the users to train and evaluate their system at a pace and skill level based on the user's competency and from a perspective based on the user's need. The simulator will not require any special resources to execute and should generally be available for use. The interface is based on a concept of presenting the model of the system in ways that best suits the user's application or training needs. The three levels of views are Component View, the System View (overall system), and the Console View (monitor). These views are portals into a single model, so changing the model from one view or from a model manager Graphical User Interface will be reflected on all other views.

  6. Research for Future Training Modeling and Simulation Strategies

    Science.gov (United States)

    2011-09-01

    Simulation (M&S) — 2010 Research,” for the Assistant Secretary of Defense for Research and Engineering, Systems Engineering, Director, Modeling and...http://ignoranceisfutile.wordpress.com/2008/10/15/darpa-backked- siri -nearing-launch-of-personal-artificial- intelligence/. 11 virtual assistant ...this TMSSP addresses: • Defense Training Environment (DTE) • Personal Learning Assistant (PLA), and • More agile business models for training. This

  7. Feedback and feedforward adaptation to visuomotor delay during reaching and slicing movements.

    Science.gov (United States)

    Botzer, Lior; Karniel, Amir

    2013-07-01

    It has been suggested that the brain and in particular the cerebellum and motor cortex adapt to represent the environment during reaching movements under various visuomotor perturbations. It is well known that significant delay is present in neural conductance and processing; however, the possible representation of delay and adaptation to delayed visual feedback has been largely overlooked. Here we investigated the control of reaching movements in human subjects during an imposed visuomotor delay in a virtual reality environment. In the first experiment, when visual feedback was unexpectedly delayed, the hand movement overshot the end-point target, indicating a vision-based feedback control. Over the ensuing trials, movements gradually adapted and became accurate. When the delay was removed unexpectedly, movements systematically undershot the target, demonstrating that adaptation occurred within the vision-based feedback control mechanism. In a second experiment designed to broaden our understanding of the underlying mechanisms, we revealed similar after-effects for rhythmic reversal (out-and-back) movements. We present a computational model accounting for these results based on two adapted forward models, each tuned for a specific modality delay (proprioception or vision), and a third feedforward controller. The computational model, along with the experimental results, refutes delay representation in a pure forward vision-based predictor and suggests that adaptation occurred in the forward vision-based predictor, and concurrently in the state-based feedforward controller. Understanding how the brain compensates for conductance and processing delays is essential for understanding certain impairments concerning these neural delays as well as for the development of brain-machine interfaces. © 2013 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

  8. Train Dwell Time Models for Rail Passenger Service

    Directory of Open Access Journals (Sweden)

    San Hor Peay

    2016-01-01

    Full Text Available In recent years, more studies had been conducted about train dwell time as it is a key parameter of rail system performance and reliability. This paper draws an overview of train dwell time models for rail passenger service from various continents, namely Asia, North America, Europe and Australia. The factors affecting train dwell time are identified and analysed across some rail network operators. The dwell time models developed by various researches are also discussed and reviewed. Finally, the contributions from the outcomes of these models are briefly addressed. In conclusion, this paper suggests that there is a need to further study the factors with strong influence upon dwell time to improve the quality of the train services.

  9. Prediction of rupture risk in anterior communicating artery aneurysms with a feed-forward artificial neural network.

    Science.gov (United States)

    Liu, Jinjin; Chen, Yongchun; Lan, Li; Lin, Boli; Chen, Weijian; Wang, Meihao; Li, Rui; Yang, Yunjun; Zhao, Bing; Hu, Zilong; Duan, Yuxia

    2018-02-23

    Anterior communicating artery (ACOM) aneurysms are the most common intracranial aneurysms, and predicting their rupture risk is challenging. We aimed to predict this risk using a two-layer feed-forward artificial neural network (ANN). 594 ACOM aneurysms, 54 unruptured and 540 ruptured, were reviewed. A two-layer feed-forward ANN was designed for ACOM aneurysm rupture-risk analysis. To improve ANN efficiency, an adaptive synthetic (ADASYN) sampling approach was applied to generate more synthetic data for unruptured aneurysms. Seventeen parameters (13 morphological parameters of ACOM aneurysm measured from these patients' CT angiography (CTA) images, two demographic factors, and hypertension and smoking histories) were adopted as ANN input. Age, vessel size, aneurysm height, perpendicular height, aneurysm neck size, aspect ratio, size ratio, aneurysm angle, vessel angle, aneurysm projection, A1 segment configuration, aneurysm lobulations and hypertension were significantly different between the ruptured and unruptured groups. Areas under the ROC curve for training, validating, testing and overall data sets were 0.953, 0.937, 0.928 and 0.950, respectively. Overall prediction accuracy for raw 594 samples was 94.8 %. This ANN presents good performance and offers a valuable tool for prediction of rupture risk in ACOM aneurysms, which may facilitate management of unruptured ACOM aneurysms. • A feed-forward ANN was designed for the prediction of rupture risk in ACOM aneurysms. • Two demographic parameters, 13 morphological aneurysm parameters, and hypertension/smoking history were acquired. • An ADASYN sampling approach was used to improve ANN quality. • Overall prediction accuracy of 94.8 % for the raw samples was achieved.

  10. Modeling the Effects of Stress: An Approach to Training

    Science.gov (United States)

    Cuper, Taryn

    2010-01-01

    Stress is an integral element of the operational conditions experienced by combat medics. The effects of stress can compromise the performance of combat medics who must reach and treat their comrades under often threatening circumstances. Examples of these effects include tunnel vision, loss of motor control, and diminished hearing, which can result in an inability to perceive further danger, satisfactorily treat the casualty, and communicate with others. While many training programs strive to recreate this stress to aid in the experiential learning process, stress inducement may not always be feasible or desired. In addition, live simulations are not always a practical, convenient, and repeatable method of training. Instead, presenting situational training on a personal computer is proposed as an effective training platform in which the effects of stress can be addressed in a different way. We explore the cognitive and motor effects of stress, as well as the benefits of training for mitigating these effects in real life. While many training applications focus on inducing stress in order to "condition" the stress response, the author explores the possibilities of modeling stress to produce a similar effect. Can presenting modeled effects of stress help prepare or inoculate soldiers for stressful situations in which they must perform at a high level? This paper investigates feasibility of modeling stress and describes the preliminary design considerations of a combat medic training system that utilizes this method of battlefield preparation.

  11. A High-Speed Train Operation Plan Inspection Simulation Model

    Directory of Open Access Journals (Sweden)

    Yang Rui

    2018-01-01

    Full Text Available We developed a train operation simulation tool to inspect a train operation plan. In applying an improved Petri Net, the train was regarded as a token, and the line and station were regarded as places, respectively, in accordance with the high-speed train operation characteristics and network function. Location change and running information transfer of the high-speed train were realized by customizing a variety of transitions. The model was built based on the concept of component combination, considering the random disturbance in the process of train running. The simulation framework can be generated quickly and the system operation can be completed according to the different test requirements and the required network data. We tested the simulation tool when used for the real-world Wuhan to Guangzhou high-speed line. The results showed that the proposed model can be developed, the simulation results basically coincide with the objective reality, and it can not only test the feasibility of the high-speed train operation plan, but also be used as a support model to develop the simulation platform with more capabilities.

  12. Adaptive feedforward control of exhaust recirculation in large diesel engines

    DEFF Research Database (Denmark)

    Nielsen, Kræn Vodder; Blanke, Mogens; Eriksson, Lars

    2017-01-01

    Environmental concern has led the International Maritime Organization to restrict NO푥 emissions from marine diesel engines. Exhaust gas recirculation (EGR) systems have been introduced in order to comply to the new standards. Traditional fixed-gain feedback methods are not able to control the EGR...... is generalized to a class of first order Hammerstein systems with sensor delay and exponentially converging bounds of the control error are proven analytically. It is then shown how to apply the method to the EGR system of a two-stroke crosshead diesel engine. The controller is validated by closed loop...... system adequately in engine loading transients so alternative methods are needed. This paper presents the design, convergence proofs and experimental validation of an adaptive feedforward controller that significantly improves the performance in loading transients. First the control concept...

  13. Quantum teleportation over 143 kilometres using active feed-forward

    Science.gov (United States)

    Ma, Xiaosong; Herbst, Thomas; Scheidl, Thomas; Wang, Daqing; Kropatschek, Sebastian; Naylor, William; Mech, Alexandra; Wittmann, Bernhard; Kofler, Johannes; Anisimova, Elena; Makarov, Vadim; Jennewein, Thomas; Ursin, Rupert; Zeilinger, Anton

    2013-03-01

    Quantum teleportation is a quintessential prerequisite of many quantum information processing protocols. By using quantum teleportation, one can circumvent the no-cloning theorem and faithfully transfer unknown quantum states to a party whose location is even unknown over arbitrary distances. Ever since the first experimental demonstrations of quantum teleportation of independent qubits and of squeezed states, researchers have progressively extended the communication distance in teleportation. Here we report the first long-distance quantum teleportation experiment with active feed-forward in real time. The experiment employed two optical links, quantum and classical, over 143 km free space between the two Canary Islands of La Palma and Tenerife. To achieve this, the experiment had to employ a combination of advanced techniques such as a frequency-uncorrelated polarization-entangled photon pair source, ultra-low-noise single-photon detectors, and entanglement-assisted clock synchronization. The average teleported state fidelity was well beyond the classical limit of 2/3.

  14. Time series prediction by feedforward neural networks - is it difficult?

    CERN Document Server

    Rosen-Zvi, M; Kinzel, W

    2003-01-01

    The difficulties that a neural network faces when trying to learn from a quasi-periodic time series are studied analytically using a teacher-student scenario where the random input is divided into two macroscopic regions with different variances, 1 and 1/gamma sup 2 (gamma >> 1). The generalization error is found to decrease as epsilon sub g propor to exp(-alpha/gamma sup 2), where alpha is the number of examples per input dimension. In contradiction to this very slow vanishing generalization error, the next output prediction is found to be almost free of mistakes. This picture is consistent with learning quasi-periodic time series produced by feedforward neural networks, which is dominated by enhanced components of the Fourier spectrum of the input. Simulation results are in good agreement with the analytical results.

  15. Time series prediction by feedforward neural networks - is it difficult?

    Science.gov (United States)

    Rosen-Zvi, Michal; Kanter, Ido; Kinzel, Wolfgang

    2003-04-01

    The difficulties that a neural network faces when trying to learn from a quasi-periodic time series are studied analytically using a teacher-student scenario where the random input is divided into two macroscopic regions with different variances, 1 and 1/gamma2 (gamma gg 1). The generalization error is found to decrease as epsilong propto exp(-alpha/gamma2), where alpha is the number of examples per input dimension. In contradiction to this very slow vanishing generalization error, the next output prediction is found to be almost free of mistakes. This picture is consistent with learning quasi-periodic time series produced by feedforward neural networks, which is dominated by enhanced components of the Fourier spectrum of the input. Simulation results are in good agreement with the analytical results.

  16. IMPROVEMENT OF MATHEMATICAL MODELS FOR ESTIMATION OF TRAIN DYNAMICS

    Directory of Open Access Journals (Sweden)

    L. V. Ursulyak

    2017-12-01

    Full Text Available Purpose. Using scientific publications the paper analyzes the mathematical models developed in Ukraine, CIS countries and abroad for theoretical studies of train dynamics and also shows the urgency of their further improvement. Methodology. Information base of the research was official full-text and abstract databases, scientific works of domestic and foreign scientists, professional periodicals, materials of scientific and practical conferences, methodological materials of ministries and departments. Analysis of publications on existing mathematical models used to solve a wide range of problems associated with the train dynamics study shows the expediency of their application. Findings. The results of these studies were used in: 1 design of new types of draft gears and air distributors; 2 development of methods for controlling the movement of conventional and connected trains; 3 creation of appropriate process flow diagrams; 4 development of energy-saving methods of train driving; 5 revision of the Construction Codes and Regulations (SNiP ΙΙ-39.76; 6 when selecting the parameters of the autonomous automatic control system, created in DNURT, for an auxiliary locomotive that is part of a connected train; 7 when creating computer simulators for the training of locomotive drivers; 8 assessment of the vehicle dynamic indices characterizing traffic safety. Scientists around the world conduct numerical experiments related to estimation of train dynamics using mathematical models that need to be constantly improved. Originality. The authors presented the main theoretical postulates that allowed them to develop the existing mathematical models for solving problems related to the train dynamics. The analysis of scientific articles published in Ukraine, CIS countries and abroad allows us to determine the most relevant areas of application of mathematical models. Practicalvalue. The practical value of the results obtained lies in the scientific validity

  17. Novel brain model for training of deep microvascular anastomosis.

    Science.gov (United States)

    Ishikawa, Tatsuya; Yasui, Nobuyuki; Ono, Hidenori

    2010-01-01

    Models of the brain and skull were developed using a selective laser sintering method for training in the procedures of deep microvascular anastomosis. Model A has an artificial skull with two craniotomies, providing fronto-temporal-subtemporal and suboccipital windows. The brain in Model A is soft and elastic, and consists of the brainstem and a hemispheric part with a detailed surface. Rehearsals or training for anastomosis to the insular part of the middle cerebral artery, superior cerebellar artery, posterior cerebral artery, and posterior inferior cerebellar artery can be performed through the craniotomies. Model B has an artificial skull with a bifrontal craniotomy and an artificial brain consisting of the bilateral frontal lobes with an interhemispheric fissure and corpus callosum. Rehearsals or training for anastomosis of the callosal segment of the anterior cerebral artery can be practiced through this craniotomy. These realistic models will help to develop skills for deep vascular anastomosis, which remains a challenging neurosurgical procedure, even for experienced neurosurgeons.

  18. Recovery Act. Development of a Model Energy Conservation Training Program

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2012-07-05

    The overall objective of this project was to develop an updated model Energy Conservation training program for stationary engineers. This revision to the IUOE National Training Fund’s existing Energy Conservation training curriculum is designed to enable stationary engineers to incorporate essential energy management into routine building operation and maintenance tasks. The curriculum uses a blended learning approach that includes classroom, hands-on, computer simulation and web-based training in addition to a portfolio requirement for a workplace-based learning application. The Energy Conservation training program goal is development of a workforce that can maintain new and existing commercial buildings at optimum energy performance levels. The grant start date was July 6, 2010 and the project continued through September 30, 2012, including a three month non-funded extension.

  19. MODEL ON THE JOB TRAINING PENINGKATAN KETERAMPILAN MAHASISWA

    Directory of Open Access Journals (Sweden)

    Suranto

    2012-10-01

    Full Text Available Penelitian ini bertujuan untuk mengetahui apakah model on the job training (pelatihan kerja di industri mampu meningkatkan kemampuan keterampilan mahasiswa program studi vokasi bidang manufaktur di Universitas Tujuh Belas Agustus Surabaya. Penelitian ini mengambil data pada mahasiswa di Program Studi Vokasi bidang manufaktur sejumlah 20 orang untuk menguji validitas dan reliabilitas angket dan sejumlah 30 orang mahasiswa untuk menguji pengaruh on the job training terhadap kemampuan keterampilan mahasiswa yang meliputi aspek afektif, kognitif dan psikomotorik. Pengumpulan data melalui angket, observasi, dan wawancara. Metode analisis menggunakan regresi untuk mengetahui pengaruh antara variabel on the job training terhadap variabel kemampuan keterampilan mahasiswa. Diketahui hasil persamaan regresi bahwa semakin baik model on the job training diterapkan, maka semakin baik pula peningkatan kemampuan keterampilan yang dimiliki mahasiswa. Besarnya pengaruh model on the job training terhadap keterampilan sebesar 0.701 atau 70.1%. Dihasilkan model pembelajaran on the job training yang dilakukan mampu mempengaruhi peningkatan kemampuan keterampilan calon lulusan program studi vokasi bidang manufaktur

  20. Model-based Feedforward Control for Inkjet Printheads

    NARCIS (Netherlands)

    Khalate, A.A.

    2013-01-01

    In recent years, inkjet technology has emerged as a promising manufacturing tool. This technology has gained its popularity mainly due to the facts that it can handle diverse materials and it is a non-contact and additive process. Moreover, the inkjet technology offers low operational costs, easy

  1. Feature and Model Selection in Feedforward Neural Networks

    Science.gov (United States)

    1994-06-01

    output of middle nodej - M is the number of feature inputs -wij is the weight from input node i to middle node j - e0 is the input layer bias term, and is...is the updated weight from input i to middle node j - (wtuj) is the old weight from from input i to middle nodej - q7 is the step size - 62 = (d

  2. Adopsi Model Competency Based Training dalam Kewirausahaan

    Directory of Open Access Journals (Sweden)

    I Ketut Santra

    2009-01-01

    Full Text Available The aim of the research is improving the teaching method in entrepreneurship subject. This research adopted the competency based training (CBT into the entrepreneurship. The major task in this research is formulated and designed the entrepreneurship competency. Entrepreneurship competency indicated by Personal, Strategic and Situational and Business competence. All of entrepreneurship competences are described into sub topic of competence. After designing and formulating the game and simulation the research continuing to implement the competency based training in the real class. The time consumed to implementing the CBT one semester, starting on September 2006 to early February 2007. The lesson learnt from the implementation period, the CBT could improve the student competence in Personal, Situational Strategic and Business. The three of the competencies are important for the success entrepreneur. It is a sign of application of “Kurikulum Berbasis Kompetensi”. There are many evidences to describe the achievement of the CBT in entrepreneurship subject. Firstly, physically achievement, that all of the student’s business plan could became the real business. The evidences are presented by picture of the student’s real business. Secondly theoretically achievement, that the Personal, Situational Strategic and Business competence statistically have significant relation with Business Plan even Real Business quality. The effect of the Personal, Situational Strategic and Business competence to Business Plan quality is 84.4%. and, to the Real Business quality 77.2%. The statistic’s evidence suggests that the redesign of the entrepreneurship subject is the right way. The content of the entrepreneur competence (Personal, Situational and Strategic and Business competence have impact to the student to conduct and running for own business.

  3. Analysis of different training models for handball goalkeepers

    Directory of Open Access Journals (Sweden)

    Alejandro Muñoz Moreno

    2012-11-01

    Full Text Available The importance of the goalkeeper for the team performance is critical, however, publications on specific preparation are few in number, with no clear lines of work. The present study aims to analyze the different methodologies used in the specific training handball goalkeeper, by setting what the different training models as well as deepen the potential applications of each.For this purpose, it was conducted an extensive literature review, categorizing each document based on the performance factor on which prioritizes: physical-technical, perceptual and tactical. The analysis of results found that there were no other models than those categorized, being more numerous publications falling under physical and technical training, followed by the perceptive and very few exist on tactical training. In light of the results seems essential to conduct a specific training program for goalkeeper, taking into account the most relevant variables for optimal performance. No single factor seems more relevant to any stage of training, it being necessary to deepen it.Keywords: specific training, perception, decision making, tactical

  4. Modeling initiation trains based on HMX and TATB

    Science.gov (United States)

    Drake, R. C.; Maisey, M.

    2017-01-01

    There will always be a requirement to reduce the size of initiation trains. However, as the size is reduced the performance characteristics can be compromised. A detailed science-based understanding of the processes (ignition and growth to detonation) which determine the performance characteristics is required to enable compact and robust initiation trains to be designed. To assess the use of numerical models in the design of initiation trains a modeling study has been undertaken, with the aim of understanding the initiation of TATB and HMX charges by a confined, surface mounted detonator. The effect of detonator diameter and detonator confinement on the formation of dead zones in the acceptor explosives has been studied. The size of dead zones can be reduced by increasing the diameter of the detonator and by increasing the impedance of the confinement. The implications for the design of initiation trains are discussed.

  5. Comparison of different forms of the Multi-layer Feed-Forward Neural Network method used for river flow forecasting

    Directory of Open Access Journals (Sweden)

    A. Y. Shamseldin

    2002-01-01

    Full Text Available The Multi-Layer Feed-Forward Neural Network (MLFFNN is applied in the context of river flow forecast combination, where a number of rainfall-runoff models are used simultaneously to produce an overall combined river flow forecast. The operation of the MLFFNN depends not only on its neuron configuration but also on the choice of neuron transfer function adopted, which is non-linear for the hidden and output layers. These models, each having a different structure to simulate the perceived mechanisms of the runoff process, utilise the information carrying capacity of the model calibration data in different ways. Hence, in a discharge forecast combination procedure, the discharge forecasts of each model provide a source of information different from that of the other models used in the combination. In the present work, the significance of the choice of the transfer function type in the overall performance of the MLFFNN, when used in the river flow forecast combination context, is investigated critically. Five neuron transfer functions are used in this investigation, namely, the logistic function, the bipolar function, the hyperbolic tangent function, the arctan function and the scaled arctan function. The results indicate that the logistic function yields the best model forecast combination performance. Keywords: River flow forecast combination, multi-layer feed-forward neural network, neuron transfer functions, rainfall-runoff models

  6. A eural etwork Model for Dynamics Simulation

    African Journals Online (AJOL)

    Nafiisah

    Results 5 - 18 ... linear chain of silicon (Si) atoms. In this study, a back-propagation algorithm was employed to train a feedforward neural network. The Levenberg-Marquardt (LM) technique was chosen from the various back-propagation training algorithms available for use in this study. Keywords: Feedforward neural network ...

  7. Teacher Training by Means of a School-Based Model

    Science.gov (United States)

    Richter, Barry

    2016-01-01

    The purpose of the study was to explore how a school-based training model (SBTM) could help to address the shortage of teachers. This model also allows, among other aspects, for poor and disadvantaged students to study while they gain experience. This article reports on the results of the SBTM implemented by a South African university, whereby…

  8. Brief Therapy: A Model for Early Counselor Training.

    Science.gov (United States)

    Lopez, Frederick G.

    1985-01-01

    Presents a model for conducting brief, problem-focused counseling as a way to teach trainees the verbal skills and structuring methods that promote efficient problem clarification and resolution. Identifies the model's skills requirements and discusses its advantages for use in training. (BH)

  9. Simulating disturbances and modelling expected train passenger delays

    DEFF Research Database (Denmark)

    Landex, Alex; Nielsen, Otto Anker

    2006-01-01

    Forecasts of regularity for railway systems have traditionally – if at all – been computed for trains, not for passengers. It has only relatively recently become possible to model and evaluate the actual passenger delays. This paper describes how it is possible to use a passenger regularity model...

  10. Modelling expected train passenger delays on large scale railway networks

    DEFF Research Database (Denmark)

    Landex, Alex; Nielsen, Otto Anker

    2006-01-01

    Forecasts of regularity for railway systems have traditionally – if at all – been computed for trains, not for passengers. Relatively recently it has become possible to model and evaluate the actual passenger delays by a passenger regularity model for the operation already carried out. First...

  11. Counseling and Human Sexuality: A Training Model.

    Science.gov (United States)

    Fyfe, Bill

    1980-01-01

    Presents a counseling and human sexuality course model that provides counselors with an information base in human sexuality and assists them in exploring the emotional aspects of sexuality. Human sexuality is a vital aspect of personal development. (Author)

  12. Training Effectiveness at PT XYZ Using Kirkpatrick Model and Return on Investment of Training (ROI-Training

    Directory of Open Access Journals (Sweden)

    Jonny Jonny

    2016-09-01

    Full Text Available The goal of the research was to evaluate the effectiveness of Kirkpatrick model and Return on Investment of Training at PT XYZ. Observation was applied to this research. The result has shown several facts such as trainee’s feedback score was 4,62 above 4,10 as required by the company in terms of reaction, the average final exam score was 3,66 above 3,00 as required by the company in terms of learning, the trainees’ superiors’ feedback score was 3,53 above 3,00 as required by the company and Return on Investment of Training (ROI-Training was 58,88% above 15% as required by the company. With these results, the company can conclude that the program is effective in nurturing its supervisory leaders.

  13. In vivo temporal property of GABAergic neural transmission in collateral feed-forward inhibition system of hippocampal-prefrontal pathway.

    Science.gov (United States)

    Takita, Masatoshi; Kuramochi, Masahito; Izaki, Yoshinori; Ohtomi, Michiko

    2007-05-30

    Anatomical evidence suggests that rat CA1 hippocampal afferents collaterally innervate excitatory projecting pyramidal neurons and inhibitory interneurons, creating a disynaptic, feed-forward inhibition microcircuit in the medial prefrontal cortex (mPFC). We investigated the temporal relationship between the frequency of paired synaptic transmission and gamma-aminobutyric acid (GABA)ergic receptor-mediated modulation of the microcircuit in vivo under urethane anesthesia. Local perfusions of a GABAa antagonist (-)-bicuculline into the mPFC via microdialysis resulted in a statistically significant disinhibitory effect on intrinsic GABA action, increasing the first and second mPFC responses following hippocampal paired stimulation at interstimulus intervals of 100-200 ms, but not those at 25-50 ms. This (-)-bicuculline-induced disinhibition was compensated by the GABAa agonist muscimol, which itself did not attenuate the intrinsic oscillation of the local field potentials. The perfusion of a sub-minimal concentration of GABAb agonist (R)-baclofen slightly enhanced the synaptic transmission, regardless of the interstimulus interval. In addition to the tonic control by spontaneous fast-spiking GABAergic neurons, it is clear the sequential transmission of the hippocampal-mPFC pathway can phasically drive the collateral feed-forward inhibition system through activation of a GABAa receptor, bringing an active signal filter to the various types of impulse trains that enter the mPFC from the hippocampus in vivo.

  14. Neural network training by Kalman filtering in process system monitoring

    International Nuclear Information System (INIS)

    Ciftcioglu, Oe.

    1996-03-01

    Kalman filtering approach for neural network training is described. Its extended form is used as an adaptive filter in a nonlinear environment of the form a feedforward neural network. Kalman filtering approach generally provides fast training as well as avoiding excessive learning which results in enhanced generalization capability. The network is used in a process monitoring application where the inputs are measurement signals. Since the measurement errors are also modelled in Kalman filter the approach yields accurate training with the implication of accurate neural network model representing the input and output relationships in the application. As the process of concern is a dynamic system, the input source of information to neural network is time dependent so that the training algorithm presents an adaptive form for real-time operation for the monitoring task. (orig.)

  15. Chicken and porcine models for training in laparoscopy and robotics.

    Science.gov (United States)

    Ganpule, Arvind; Chhabra, Jaspreet Singh; Desai, Mahesh

    2015-03-01

    To review the most recent literature and contemporary role of the use of porcine and chicken models in laparoscopic and robotic simulation exercises, for training and skill assessment. There are multiple types of the simulators which include mechanical, virtual reality, hybrid simulators and animal models. The recent literature has seen insurgence of several of such simulators, specifically the animate ones comprising porcine and chicken models. The different training models reported have evolved from generalized and simpler, to a more task dedicated and complex versions. Unlike in the past, the recent publications include analysis of these models incorporating different measures of validity assessment. On account of the natural tissue properties inherent to these porcine and chicken models, they are proving to be instrumental in acquisition of higher surgical skills such as dissection, suturing and use of energy sources, all of which are required in real-time clinical scenarios be it laparoscopy or robotic-assisted procedures. In-vivo training in the animal model continues to be, perhaps, the most sophisticated training method before resorting to real-time surgery.

  16. Cumulative Training Dose's Effects on Interrelationships Between Common Training-Load Models During Basketball Activity.

    Science.gov (United States)

    Scanlan, Aaron T; Fox, Jordan L; Borges, Nattai R; Dascombe, Ben J; Dalbo, Vincent J

    2017-02-01

    The influence of various factors on training-load (TL) responses in basketball has received limited attention. This study aimed to examine the temporal changes and influence of cumulative training dose on TL responses and interrelationships during basketball activity. Ten state-level Australian male junior basketball players completed 4 × 10-min standardized bouts of simulated basketball activity using a circuit-based protocol. Internal TL was quantified using the session rating of perceived exertion (sRPE), summated heart-rate zones (SHRZ), Banister training impulse (TRIMP), and Lucia TRIMP models. External TL was assessed via measurement of mean sprint and circuit speeds. Temporal TL comparisons were performed between 10-min bouts, while Pearson correlation analyses were conducted across cumulative training doses (0-10, 0-20, 0-30, and 0-40 min). sRPE TL increased (P basketball activity. sRPE TL was only significantly related to Lucia TRIMP (r = .66-.69; P training doses (r = .84-.89; P basketball training doses lasting beyond 20 min. Thus, the interchangeability of commonly used internal and external TL approaches appears dose-dependent during basketball activity, with various psychophysiological mediators likely underpinning temporal changes.

  17. OPTIMAL TRAINING POLICY FOR PROMOTION - STOCHASTIC MODELS OF MANPOWER SYSTEMS

    Directory of Open Access Journals (Sweden)

    V.S.S. Yadavalli

    2012-01-01

    Full Text Available In this paper, the optimal planning of manpower training programmes in a manpower system with two grades is discussed. The planning of manpower training within a given organization involves a trade-off between training costs and expected return. These planning problems are examined through models that reflect the random nature of manpower movement in two grades. To be specific, the system consists of two grades, grade 1 and grade 2. Any number of persons in grade 2 can be sent for training and after the completion of training, they will stay in grade 2 and will be given promotion as and when vacancies arise in grade 1. Vacancies arise in grade 1 only by wastage. A person in grade 1 can leave the system with probability p. Vacancies are filled with persons in grade 2 who have completed the training. It is assumed that there is a perfect passing rate and that the sizes of both grades are fixed. Assuming that the planning horizon is finite and is T, the underlying stochastic process is identified as a finite state Markov chain and using dynamic programming, a policy is evolved to determine how many persons should be sent for training at any time k so as to minimize the total expected cost for the entire planning period T.

  18. Plasticine Model: An Useful Surgical Training in Plastic Surgery.

    Science.gov (United States)

    Ji, Chenyang; Li, Ruiting; Liang, Weiqiang; Chen, Yuhong; Zhang, Jinming

    2016-02-01

    To help surgical trainees reach a deep understanding of plastic operations, we developed and evaluated an economical and convenient model using plasticine for plastic surgical training. From Sep of 2012 to Dec of 2014, we invited 57 medical interns to participate in a program designed for the qualitative evaluation of this model. In this program, 57 interns were asked to simulate certain surgical operations under guidance of the experienced staff of our department using the plasticine model. The value of the plasticine model was evaluated through questionnaire surveys. Their acceptance of the plasticine model, as well as the benefits and the flaws, was evaluated by the questionnaire survey. All the participants completed the training session as well as the questionnaire, all of whom felt that the plasticine model had increased their familiarity with the surgical procedure they were assigned. By remodeling plasticine, the trainees understood either the brief surgical procedures or some confusing operative details in plastic surgery. In the questionnaire surveys, the trainees showed considerable consensus with the training program. The flaws of this method were also listed. The flaws generally reflected that "it is difficult to model into a vivid image" and "it is not suitable for all the operation". Overall, the plasticine model is accepted by the participants in this survey. This model is economical and versatile, and could be used as a complementary training tool for novices in simulated operation training of plastic surgery. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

  19. Stochastic models for spike trains of single neurons

    CERN Document Server

    Sampath, G

    1977-01-01

    1 Some basic neurophysiology 4 The neuron 1. 1 4 1. 1. 1 The axon 7 1. 1. 2 The synapse 9 12 1. 1. 3 The soma 1. 1. 4 The dendrites 13 13 1. 2 Types of neurons 2 Signals in the nervous system 14 2. 1 Action potentials as point events - point processes in the nervous system 15 18 2. 2 Spontaneous activi~ in neurons 3 Stochastic modelling of single neuron spike trains 19 3. 1 Characteristics of a neuron spike train 19 3. 2 The mathematical neuron 23 4 Superposition models 26 4. 1 superposition of renewal processes 26 4. 2 Superposition of stationary point processe- limiting behaviour 34 4. 2. 1 Palm functions 35 4. 2. 2 Asymptotic behaviour of n stationary point processes superposed 36 4. 3 Superposition models of neuron spike trains 37 4. 3. 1 Model 4. 1 39 4. 3. 2 Model 4. 2 - A superposition model with 40 two input channels 40 4. 3. 3 Model 4. 3 4. 4 Discussion 41 43 5 Deletion models 5. 1 Deletion models with 1nd~endent interaction of excitatory and inhibitory sequences 44 VI 5. 1. 1 Model 5. 1 The basic de...

  20. Gelatin model for training ultrasound-guided puncture

    Directory of Open Access Journals (Sweden)

    Alexandre Campos Moraes Amato

    2015-09-01

    Full Text Available BACKGROUND: It is indispensable that members of the medical profession receive the technical training needed to enable them to rapidly obtain effective vascular access. Training procedures should be used judiciously to familiarize students with the technique. However, existing models are expensive or ineffective, and models need to be developed that are similar to what will be encountered in real patients.OBJECTIVES: To demonstrate creation and application of a gelatin model for training ultrasound-guided puncture.METHOS: The model was made using a mixture of colorless gelatin and water in a transparent plastic receptacle with two pairs of orifices of different diameters, through which two plastic tubes were inserted, to simulate blood vessels.RESULTS: The model was a close approximation to the real medical procedure in several aspects, since gelatin has a similar consistency to human tissues, providing a more faithful reproduction of the tactile sensation at the moment when the needle reaches the interior of a vessel and its contents are aspirated.CONCLUSIONS: The method proposed here can be used to easily construct a low-cost model using everyday materials that is suitable for large-scale training of ultrasound-guided puncture.

  1. Teacher training by means of a school-based model

    Directory of Open Access Journals (Sweden)

    Barry Richter

    2016-02-01

    Full Text Available The purpose of the study was to explore how a school-based training model (SBTM could help to address the shortage of teachers. This model also allows, among other aspects, for poor and disadvantaged students to study while they gain experience. This article reports on the results of the SBTM implemented by a South African university, whereby student teachers are appointed at schools as assistant teachers. A mixed method study was preferred in order to explore the effectiveness of the model. The findings of the research indicate that the majority of teachers, lecturers, students and members of school managements involved were positive regarding the SBTM, and that the advantages of the model outweighed the challenges. It is therefore recommended that the model be implemented as an alternative teacher training programme for the special conditions prevailing in South Africa, as well as other countries that experience a teacher shortage.

  2. Synchrony with shunting inhibition in a feedforward inhibitory network.

    Science.gov (United States)

    Talathi, Sachin S; Hwang, Dong-Uk; Carney, Paul R; Ditto, William L

    2010-04-01

    Recent experiments have shown that GABA(A) receptor mediated inhibition in adult hippocampus is shunting rather than hyperpolarizing. Simulation studies of realistic interneuron networks with strong shunting inhibition have been demonstrated to exhibit robust gamma band (20-80 Hz) synchrony in the presence of heterogeneity in the intrinsic firing rates of individual neurons in the network. In order to begin to understand how shunting can contribute to network synchrony in the presence of heterogeneity, we develop a general theoretical framework using spike time response curves (STRC's) to study patterns of synchrony in a simple network of two unidirectionally coupled interneurons (UCI network) interacting through a shunting synapse in the presence of heterogeneity. We derive an approximate discrete map to analyze the dynamics of synchronous states in the UCI network by taking into account the nonlinear contributions of the higher order STRC terms. We show how the approximate discrete map can be used to successfully predict the domain of synchronous 1:1 phase locked state in the UCI network. The discrete map also allows us to determine the conditions under which the two interneurons can exhibit in-phase synchrony. We conclude by demonstrating how the information from the study of the discrete map for the dynamics of the UCI network can give us valuable insight into the degree of synchrony in a larger feed-forward network of heterogeneous interneurons.

  3. Adaptive Feed-Forward Control of Low Frequency Interior Noise

    CERN Document Server

    Kletschkowski, Thomas

    2012-01-01

    This book presents a mechatronic approach to Active Noise Control (ANC). It describes the required elements of system theory, engineering acoustics, electroacoustics and adaptive signal processing in a comprehensive, consistent and systematic manner using a unified notation. Furthermore, it includes a design methodology for ANC-systems, explains its application and describes tools to be used for ANC-system design. From the research point of view, the book presents new approaches to sound source localization in weakly damped interiors. One is based on the inverse finite element method, the other is based on a sound intensity probe with an active free field. Furthermore, a prototype of an ANC-system able to reach the physical limits of local (feed-forward) ANC is described. This is one example for applied research in ANC-system design. Other examples are given for (i) local ANC in a semi-enclosed subspace of an aircraft cargo hold and (ii) for the combination of audio entertainment with ANC.

  4. Feedforward control of sound transmission using an active acoustic metamaterial

    Science.gov (United States)

    Cheer, Jordan; Daley, Stephen; McCormick, Cameron

    2017-02-01

    Metamaterials have received significant interest in recent years due to their potential ability to exhibit behaviour not found in naturally occurring materials. This includes the generation of band gaps, which are frequency regions with high levels of wave attenuation. In the context of acoustics, these band gaps can be tuned to occur at low frequencies where the acoustic wavelength is large compared to the material, and where the performance of traditional passive noise control treatments is limited. Therefore, such acoustic metamaterials have been shown to offer a significant performance advantage compared to traditional passive control treatments, however, due to their resonant behaviour, the band gaps tend to occur over a relatively narrow frequency range. A similar long wavelength performance advantage can be achieved using active noise control, but the systems in this case do not rely on resonant behaviour. This paper demonstrates how the performance of an acoustic metamaterial, consisting of an array of Helmholtz resonators, can be significantly enhanced by the integration of an active control mechanism that is facilitated by embedding loudspeakers into the resonators. Crucially, it is then also shown how the active acoustic metamaterial significantly outperforms an equivalent traditional active noise control system. In both cases a broadband feedforward control strategy is employed to minimise the transmitted pressure in a one-dimensional acoustic control problem and a new method of weighting the control effort over a targeted frequency range is described.

  5. On the approximation by single hidden layer feedforward neural networks with fixed weights

    OpenAIRE

    Guliyev, Namig J.; Ismailov, Vugar E.

    2017-01-01

    International audience; Feedforward neural networks have wide applicability in various disciplines of science due to their universal approximation property. Some authors have shown that single hidden layer feedforward neural networks (SLFNs) with fixed weights still possess the universal approximation property provided that approximated functions are univariate. But this phenomenon does not lay any restrictions on the number of neurons in the hidden layer. The more this number, the more the p...

  6. Training Teachers Towards Responsibility in Future Education: Innovative Models.

    Science.gov (United States)

    Butler-Arlosoff, Nava

    The importance of teacher education is stressed, and two models for teacher education in Israel, one for teachers of gifted children in an urban environment and the other for training teachers of culturally different children, are offered. The teachers of gifted children were provided with a theory and practice course, a workshop, and practical…

  7. relative effectiveness of assertive training, modelling and their

    African Journals Online (AJOL)

    Elizabeth Egbochuku

    Imo State University. Owerri e-mail: timasy.ikenegbu@yahoo.com. Abstract. The study investigated the Relative Effectiveness of Assertive Training (AT), modelling (M) and ... conversation skills; assertiveness skills, play interaction skills; self-related ... possession of poor, inefficient or inadequate social skills, low self-esteem,.

  8. Effect of a training model in local anesthesia teaching

    NARCIS (Netherlands)

    Brand, H.S.; Baart, J.A.; Maas, N.E.; Bachet, I.

    2010-01-01

    The aim of this study was to evaluate the preclinical use of a training model in local anesthesia teaching on the subsequent clinical administration of a local anesthetic. Sixty-five dental students gave their first injection to a fellow dental student: twenty-two students after previous experience

  9. Estimation model of training support system for Finite Element Analysis and implementation of training scenario as knowledge patterns

    Directory of Open Access Journals (Sweden)

    Mitsuhiro Murayama

    2003-04-01

    Full Text Available This paper presents an arrangement method of FEA modeling knowledge by using a design pattern methodology, and deals with an estimation method of FEA training scenario. The prototype support system and its training knowledge can be arranged and classified in several patterns, while the mechanics of a beam structure has been picked up as an example of training subject. Essential evaluation problems were prepared for checking the synthetic achievement and the effectivity of training support system onto any beginners of the code called MARC/MENTAT has been investigated. Through the simulation with the prototype training support system, an evaluation model as the synthetic achievement test for any training scenario was shown with the degree vector. Observing the reusability of training programs, the compression rate of iterated common operations was estimated for the prototype training support system.

  10. A phoneme-based student model for adaptive spelling training

    OpenAIRE

    Baschera, Gian-Marco; Gross, Markus H.

    2009-01-01

    We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We describe spelling errors using a set of features accounting for phonemic, capitalization, typo, and other error categories. We compute the influence of individual features on the error expectation values based on previous input data using Poisson regression. This enables us to predict error expectation values and to c...

  11. The preceptor--preceptee model for faculty "cross-training".

    Science.gov (United States)

    Warren, M C

    1993-01-01

    In the review of the literature, the author notes several discussions concerning collaboration between nursing education and service agencies for updating faculty clinical practice. This article addresses the Preceptor-Preceptee model for Faculty "Cross-training," including the permission process, method, needs analysis, and evaluation. A concluding statement by the author strongly recommends the utilization of the faculty practice model to enhance the faculty's competence in clinical nursing areas.

  12. Communication Skills Training in Pediatric Oncology: Moving Beyond Role Modeling

    Science.gov (United States)

    Feraco, Angela M.; Brand, Sarah R.; Mack, Jennifer W.; Kesselheim, Jennifer C.; Block, Susan D.; Wolfe, Joanne

    2018-01-01

    Communication is central to pediatric oncology care. Pediatric oncologists disclose life-threatening diagnoses, explain complicated treatment options, and endeavor to give honest prognoses, to maintain hope, to describe treatment complications, and to support families in difficult circumstances ranging from loss of function and fertility to treatment-related or disease-related death. However, parents, patients, and providers report substantial communication deficits. Poor communication outcomes may stem, in part, from insufficient communication skills training, overreliance on role modeling, and failure to utilize best practices. This review summarizes evidence for existing methods to enhance communication skills and calls for revitalizing communication skills training within pediatric oncology. PMID:26822066

  13. Communication Skills Training in Pediatric Oncology: Moving Beyond Role Modeling.

    Science.gov (United States)

    Feraco, Angela M; Brand, Sarah R; Mack, Jennifer W; Kesselheim, Jennifer C; Block, Susan D; Wolfe, Joanne

    2016-06-01

    Communication is central to pediatric oncology care. Pediatric oncologists disclose life-threatening diagnoses, explain complicated treatment options, and endeavor to give honest prognoses, to maintain hope, to describe treatment complications, and to support families in difficult circumstances ranging from loss of function and fertility to treatment-related or disease-related death. However, parents, patients, and providers report substantial communication deficits. Poor communication outcomes may stem, in part, from insufficient communication skills training, overreliance on role modeling, and failure to utilize best practices. This review summarizes evidence for existing methods to enhance communication skills and calls for revitalizing communication skills training within pediatric oncology. © 2016 Wiley Periodicals, Inc.

  14. BCL-3 attenuation of TNFA expression involves an incoherent feed-forward loop regulated by chromatin structure.

    Directory of Open Access Journals (Sweden)

    Thomas Walker

    Full Text Available Induction of genes is rarely an isolated event; more typically occurring as part of a web of parallel interactions, or motifs, which act to refine and control gene expression. Here, we define an Incoherent Feed-forward Loop motif in which TNFα-induced NF-κB signalling activates expression of the TNFA gene itself and also controls synthesis of the negative regulator BCL-3. While sharing a common inductive signal, the two genes have distinct temporal expression profiles. Notably, while the TNFA gene promoter is primed to respond immediately to activated NF-κB in the nucleus, induction of BCL3 expression only occurs after a time delay of about 1h. We show that this time delay is defined by remodelling of the BCL3 gene promoter, which is required to activate gene expression, and characterise the chromatin delayed induction of BCL3 expression using mathematical models. The models show how a delay in inhibitor production effectively uncouples the rate of response to inflammatory cues from the final magnitude of inhibition. Hence, within this regulatory motif, a delayed (incoherent feed-forward loop together with differential rates of TNFA (fast and BCL3 (slow mRNA turnover provide robust, pulsatile expression of TNFα . We propose that the structure of the BCL-3-dependent regulatory motif has a beneficial role in modulating expression dynamics and the inflammatory response while minimising the risk of pathological hyper-inflammation.

  15. A new training model for robot-assisted urethrovesical anastomosis and posterior muscle-fascial reconstruction: the Verona training technique.

    Science.gov (United States)

    Cacciamani, G; De Marco, V; Siracusano, S; De Marchi, D; Bizzotto, L; Cerruto, M A; Motton, G; Porcaro, A B; Artibani, W

    2017-06-01

    A training model is usually needed to teach robotic surgical technique successfully. In this way, an ideal training model should mimic as much as possible the "in vivo" procedure and allow several consecutive surgical simulations. The goal of this study was to create a "wet lab" model suitable for RARP training programs, providing the simulation of the posterior fascial reconstruction. The second aim was to compare the original "Venezuelan" chicken model described by Sotelo to our training model. Our training model consists of performing an anastomosis, reproducing the surgical procedure in "vivo" as in RARP, between proventriculus and the proximal portion of the esophagus. A posterior fascial reconstruction simulating Rocco's stitch is performed between the tissues located under the posterior surface of the esophagus and the tissue represented by the serosa of the proventriculus. From 2014 to 2015, during 6 different full-immersion training courses, thirty-four surgeons performed the urethrovesical anastomosis using our model and the Sotelo's one. After the training period, each surgeon was asked to fill out a non-validated questionnaire to perform an evaluation of the differences between the two training models. Our model was judged the best model, in terms of similarity with urethral tissue and similarity with the anatomic unit urethra-pelvic wall. Our training model as reported by all trainees is easily reproducible and anatomically comparable with the urethrovesical anastomosis as performed during radical prostatectomy in humans. It is suitable for performing posterior fascial reconstruction reported by Rocco. In this context, our surgical training model could be routinely proposed in all robotic training courses to develop specific expertise in urethrovesical anastomosis with the reproducibility of the Rocco stitch.

  16. Advanced psychotherapy training: psychotherapy scholars' track, and the apprenticeship model.

    Science.gov (United States)

    Feinstein, Robert E; Yager, Joel

    2013-07-01

    Guided by ACGME's requirements, psychiatric residency training in psychotherapy currently focuses on teaching school-specific forms of psychotherapy (i.e., cognitive-behavioral, supportive, and psychodynamic psychotherapy). On the basis of a literature review of common factors affecting psychotherapy outcomes and experience with empirically supported and traditional psychotherapies, the authors aimed to develop an advanced contemporary and pragmatic approach to psychotherapy training for eight residents (two per PGY year) enrolled in a specialized Psychotherapy Scholars' Track within an adult general-residency program. The authors developed core principles and clinical practices, and drafted year-by-year educational goals and objectives to teach the psychotherapy scholars. Based on experiential learning principles, we also developed an individualized form of psychotherapy training, which we call "The Apprenticeship Model." The Psychotherapy Scholars' Track, and "Apprenticeship Model" of training are now in their third year. To date, authors report that scholars are highly satisfied with the structure and curriculum in the track. Trainees appreciate the protected time for self-directed study, mentored scholarship, and psychotherapy rotations. Patients and the Psychotherapy Scholars experience the "Apprenticeship Model" of psychotherapy training as authentic and compatible with their needs and resources. The Psychotherapy Scholars' Track developed and piloted in our general psychiatry residency is based on common factors, empirically-supported treatments, and use of experiential learning principles. Whether the Psychotherapy Scholars' Track and "Apprenticeship Model" will ultimately increase residents' psychotherapy skills and positively affect their ability to sustain postgraduate psychotherapy practice in varied settings requires long-term evaluation. The developers welcome empirical testing of the comparative effectiveness of this psychotherapy teaching approach

  17. The French model of psychoanalytic training: Ethical conflicts.

    Science.gov (United States)

    François-Poncet, Claire-Marine

    2009-12-01

    Research on psychoanalytical education within the IPA may be clarified by reflecting on the ethic behind each of the three main models (Eitingonian, French and Uruguayan). In fact, the ethic underpinning psychoanalytical education, whatever the model, is confronted by irreducible conflicts between transmitting psychoanalysis by means of analytical experience or by means of academic teaching. Transmission by experience is essentially based on the ethic of psychoanalytic practice, which is difficult to regulate through institutional standards, whereas the academic aspect can be evaluated by objective and public criteria. The importance of both aspects and their relative weight in the training process depend on the conception of psychoanalysis underlying each model. This paper will look primarily at the French training model, the essentially analytical aspects of which favour the transmission of the very ethical foundations of psychoanalytic practice itself: the application of the method both as a working tool and as a tool of evaluation. It presupposes expanding the observation and analysis of transference beyond the framework of treatment to that of supervision. From this analysis, the paper will attempt to demonstrate how the French model proposes dealing with the inevitable conflicts between transmission by means of analysis and training by means of apprenticeship.

  18. Common swine models of cardiovascular disease for research and training.

    Science.gov (United States)

    Crisóstomo, Verónica; Sun, Fei; Maynar, Manuel; Báez-Díaz, Claudia; Blanco, Virginia; Garcia-Lindo, Monica; Usón-Gargallo, Jesús; Sánchez-Margallo, Francisco Miguel

    2016-02-01

    Cardiovascular diseases are a major health concern and therefore an important topic in biomedical research. Large animal models allow researchers to assess the safety and efficacy of new cardiovascular procedures in systems that resemble human anatomy; additionally, they can be used to emulate scenarios for training purposes. Among the many biomedical models that are described in published literature, it is important that researchers understand and select those that are best suited to achieve the aims of their research, that facilitate the humane care and management of their research animals and that best promote the high ethical standards required of animal research. In this resource the authors describe some common swine models that can be easily incorporated into regular practices of research and training at biomedical institutions. These models use both native and altered vascular anatomy of swine to carry out research protocols, such as testing biological reactions to implanted materials, surgically creating aneurysms using autologous tissue and inducing myocardial infarction through closed-chest procedures. Such models can also be used for training, where native and altered vascular anatomy allow medical professionals to learn and practice challenging techniques in anatomy that closely simulates human systems.

  19. Development of an Accurate Feed-Forward Temperature Control Tankless Water Heater

    Energy Technology Data Exchange (ETDEWEB)

    David Yuill

    2008-06-30

    The following document is the final report for DE-FC26-05NT42327: Development of an Accurate Feed-Forward Temperature Control Tankless Water Heater. This work was carried out under a cooperative agreement from the Department of Energy's National Energy Technology Laboratory, with additional funding from Keltech, Inc. The objective of the project was to improve the temperature control performance of an electric tankless water heater (TWH). The reason for doing this is to minimize or eliminate one of the barriers to wider adoption of the TWH. TWH use less energy than typical (storage) water heaters because of the elimination of standby losses, so wider adoption will lead to reduced energy consumption. The project was carried out by Building Solutions, Inc. (BSI), a small business based in Omaha, Nebraska. BSI partnered with Keltech, Inc., a manufacturer of electric tankless water heaters based in Delton, Michigan. Additional work was carried out by the University of Nebraska and Mike Coward. A background study revealed several advantages and disadvantages to TWH. Besides using less energy than storage heaters, TWH provide an endless supply of hot water, have a longer life, use less floor space, can be used at point-of-use, and are suitable as boosters to enable alternative water heating technologies, such as solar or heat-pump water heaters. Their disadvantages are their higher cost, large instantaneous power requirement, and poor temperature control. A test method was developed to quantify performance under a representative range of disturbances to flow rate and inlet temperature. A device capable of conducting this test was designed and built. Some heaters currently on the market were tested, and were found to perform quite poorly. A new controller was designed using model predictive control (MPC). This control method required an accurate dynamic model to be created and required significant tuning to the controller before good control was achieved. The MPC

  20. Cadaver-based abscess model for medical training.

    Science.gov (United States)

    Ellis, Michael Stanley; Nelson, Joseph T; Kartchner, Jeffrey Zane; Yousef, Karl Andrew; Adamas-Rappaport, William J; Amini, Richard

    2017-01-01

    Ultrasound imaging is a rapid and noninvasive tool ideal for the imaging of soft tissue infections and is associated with a change of clinician management plans in 50% of cases. We developed a realistic skin abscess diagnostic and therapeutic training model using fresh frozen cadavers and common, affordable materials. Details for construction of the model and suggested variations are presented. This cadaver-based abscess model produces high-quality sonographic images with internal echogenicity similar to a true clinical abscess, and is ideal for teaching sonographic diagnostic skills in addition to the technical skills of incision and drainage or needle aspiration.

  1. Training Effectiveness at PT XYZ Using Kirkpatrick Model and Return on Investment of Training (ROI-Training)

    OpenAIRE

    Jonny, Jonny

    2016-01-01

    The goal of the research was to evaluate the effectiveness of Kirkpatrick model and Return on Investment of Training at PT XYZ. Observation was applied to this research. The result has shown several facts such as trainee’s feedback score was 4,62 above 4,10 as required by the company in terms of reaction, the average final exam score was 3,66 above 3,00 as required by the company in terms of learning, the trainees’ superiors’ feedback score was 3,53 above 3,00 as required by the company and R...

  2. The role of feed-forward and feedback processes for closed-loop prosthesis control

    Directory of Open Access Journals (Sweden)

    Saunders Ian

    2011-10-01

    Full Text Available Abstract Background It is widely believed that both feed-forward and feed-back mechanisms are required for successful object manipulation. Open-loop upper-limb prosthesis wearers receive no tactile feedback, which may be the cause of their limited dexterity and compromised grip force control. In this paper we ask whether observed prosthesis control impairments are due to lack of feedback or due to inadequate feed-forward control. Methods Healthy subjects were fitted with a closed-loop robotic hand and instructed to grasp and lift objects of different weights as we recorded trajectories and force profiles. We conducted three experiments under different feed-forward and feed-back configurations to elucidate the role of tactile feedback (i in ideal conditions, (ii under sensory deprivation, and (iii under feed-forward uncertainty. Results (i We found that subjects formed economical grasps in ideal conditions. (ii To our surprise, this ability was preserved even when visual and tactile feedback were removed. (iii When we introduced uncertainty into the hand controller performance degraded significantly in the absence of either visual or tactile feedback. Greatest performance was achieved when both sources of feedback were present. Conclusions We have introduced a novel method to understand the cognitive processes underlying grasping and lifting. We have shown quantitatively that tactile feedback can significantly improve performance in the presence of feed-forward uncertainty. However, our results indicate that feed-forward and feed-back mechanisms serve complementary roles, suggesting that to improve on the state-of-the-art in prosthetic hands we must develop prostheses that empower users to correct for the inevitable uncertainty in their feed-forward control.

  3. Consensus-based training and assessment model for general surgery.

    Science.gov (United States)

    Szasz, P; Louridas, M; de Montbrun, S; Harris, K A; Grantcharov, T P

    2016-05-01

    Surgical education is becoming competency-based with the implementation of in-training milestones. Training guidelines should reflect these changes and determine the specific procedures for such milestone assessments. This study aimed to develop a consensus view regarding operative procedures and tasks considered appropriate for junior and senior trainees, and the procedures that can be used as technical milestone assessments for trainee progression in general surgery. A Delphi process was followed where questionnaires were distributed to all 17 Canadian general surgery programme directors. Items were ranked on a 5-point Likert scale, with consensus defined as Cronbach's α of at least 0·70. Items rated 4 or above on the 5-point Likert scale by 80 per cent of the programme directors were included in the models. Two Delphi rounds were completed, with 14 programme directors taking part in round one and 11 in round two. The overall consensus was high (Cronbach's α = 0·98). The training model included 101 unique procedures and tasks, 24 specific to junior trainees, 68 specific to senior trainees, and nine appropriate to all. The assessment model included four procedures. A system of operative procedures and tasks for junior- and senior-level trainees has been developed along with an assessment model for trainee progression. These can be used as milestones in competency-based assessments. © 2016 BJS Society Ltd Published by John Wiley & Sons Ltd.

  4. An Active Seat Controller with Vehicle Suspension Feedforward and Feedback States: An Experimental Study

    Directory of Open Access Journals (Sweden)

    Abdulaziz Alfadhli

    2018-04-01

    Full Text Available Active seat suspensions can be used to reduce the harmful vertical vibration of a vehicle’s seat by applying an external force using a closed loop controller. Many of the controllers found in the literature are difficult to implement practically, because they are based on using unavailable or difficult and costly measurements. This paper presents both simulation and experimental studies of five novel, simple, and cost-effective control strategies to be used for an active seat suspension in order to improve ride comfort at low frequencies below 20 Hz. These strategies use available and measurable feedforward (preview information states from the vehicle secondary suspension, as well as feedback states from the seat suspension, together with gains optimised to minimise the occupant vibration. The gains were optimised using a genetic algorithm (GA, with a fitness function based on the seat effective amplitude transmissibility (SEAT factor. Constraints on the control force and the seat suspension stroke were also included in the optimisation algorithm. Simulation and laboratory experimental tests were carried out to assess the performance of the proposed controllers according to the ISO 2631-1 standard, in both the frequency and time domains with a range of different road profiles. The experimental tests were performed using a multi-axis simulation table (MAST and a physical active seat suspension configured as a hardware-in-loop (HIL simulation with a virtual linear quarter vehicle model (QvM. The results demonstrate that the proposed controllers substantially attenuate the vertical vibration at the driver’s seat compared with both a passive and a proportional-integral-derivative (PID active seat suspension and thus improve ride comfort together with reducing vibration-linked health risks. Moreover, experimental results show that employing both feedforward information and feedback vehicle body and seat acceleration signals in the controller

  5. The development of multi-model rehabilitation training system for lower limb sitting function

    Science.gov (United States)

    Wu, Jianfeng; Sun, Yue; Wu, Qun

    2017-04-01

    The multi-model rehabilitation training system was manufactured according to the demands of patients' practical training. Through the use of the patient's exercise physiology information, the ability of muscle force and movement efficiency of the patient were identified. Following with medical rehabilitation therapy, the training model, a combination of active and passive training, was proposed to enhance the training efficiency and rehabilitation effect. Furthermore, taking the sitting movement training as an example, the research theory was applied in knee rehabilitation training. The results of the research provid technical support and practical reference to the relevant training equipment designs and clinical applications.

  6. Percutaneous renal surgery: new model for learning and training

    Directory of Open Access Journals (Sweden)

    Earp Pedro P. de Sá

    2003-01-01

    Full Text Available INTRODUCTION: Aiming at promoting and facilitating learning and training in percutaneous renal surgery, we have created an easy to assemble, reproducible and cheap laboratory model. The model was built using pig kidney, foam layer, plastic catheter, linen or cotton holding sutures, and wide scotch tape. SURGICAL TECHNIQUE: The kidney with catheterized ureter is fixed and involved in a foam layer. It stays hidden, and is visible only through radioscopy. This model is positioned and fixed to a radiological table in such a way that it simulates the patient’s lumbar region. After that, contrast medium is injected through the ureter, and the urinary system is examined through radioscopy. All percutaneous maneuvers can be accomplished, from the puncture, tract dilation, insertion of Amplatz sheath, and introduction of nephroscope, allowing lithotripsy and endopielotomy, as well as other types of percutaneous surgeries. COMMENTS: The great advantage of this model is its easy construction, by using very cheap and widely available material. Foam can be several times washed and reused. After treatment, the model can be immediately open, and a critical analysis can be made, being then possible to verify if the place of renal puncture was well chosen, if dilation was correctly accomplished, and if the collecting system has been preserved. Therefore, this model can represent a great advance for the learning and training in percutaneous surgery.

  7. Music training and inhibitory control: a multidimensional model.

    Science.gov (United States)

    Moreno, Sylvain; Farzan, Faranak

    2015-03-01

    Training programs aimed to improve cognitive skills have either yielded mixed results or remain to be validated. The limited benefits of such regimens are largely attributable to weak understanding of (1) how (and which) interventions provide the most cognitive improvements; and (2) how brain networks and neural mechanisms that underlie specific cognitive abilities can be modified selectively. Studies indicate that music training leads to robust and long-lasting benefits to behavior. Importantly, behavioral advantages conferred by music extend beyond perceptual abilities to even nonauditory functions, such as inhibitory control (IC) and its neural correlates. Alternative forms of arts engagement or brain training do not appear to yield such enhancements, which suggests that music uniquely taps into brain networks subserving a variety of auditory as well as domain-general mechanisms such as IC. To account for such widespread benefits of music training, we propose a framework of transfer effects characterized by three dimensions: level of processing, nature of the transfer, and involvement of executive functions. We suggest that transfer of skills is mediated through modulation of general cognitive processes, in particular IC. We believe that this model offers a viable framework to test the extent and limitations of music-related changes. © 2014 New York Academy of Sciences.

  8. Animal model for endoscopic neurosurgical training: technical note.

    Science.gov (United States)

    Fernandez-Miranda, J C; Barges-Coll, J; Prevedello, D M; Engh, J; Snyderman, C; Carrau, R; Gardner, P A; Kassam, A B

    2010-10-01

    The learning curve for endonasal endoscopic and neuroendoscopic port surgery is long and often associated with an increase in complication rates as surgeons gain experience. We present an animal model for laboratory training aiming to encourage the young generation of neurosurgeons to pursue proficiency in endoscopic neurosurgical techniques. 20 Wistar rats were used as models. The animals were introduced into a physical trainer with multiple ports to carry out fully endoscopic microsurgical procedures. The vertical and horizontal dimensions of the paired ports (simulated nostrils) were: 35×20 mm, 35×15 mm, 25×15 mm, and 25×10 mm. 2 additional single 11.5 mm endoscopic ports were added. Surgical depth varied as desired between 8 and 15 cm. The cervical and abdominal regions were the focus of the endoscopic microsurgical exercises. The different endoscopic neurosurgical techniques were effectively trained at the millimetric dimension. Levels of progressive surgical difficulty depending upon the endoneurosurgical skills set needed for a particular surgical exercise were distinguished. LEVEL 1 is soft-tissue microdissection (exposure of cervical muscular plane and retroperitoneal space); LEVEL 2 is soft-tissue-vascular and vascular-capsule microdissection (aorto-cava exposure, carotid sheath opening, external jugular vein isolation); LEVEL 3 is artery-nerve microdissection (carotid-vagal separation); LEVEL 4 is artery-vein microdissection (aorto-cava separation); LEVEL 5 is vascular repair and microsuturing (aortic rupture), which verified the lack of current proper instrumentation. The animal training model presented here has the potential to shorten the length of the learning curve in endonasal endoscopic and neuroendoscopic port surgery and reduce the incidence of training-related surgical complications. © Georg Thieme Verlag KG Stuttgart · New York.

  9. Hybrid feedforward-feedback active noise reduction for hearing protection and communication.

    Science.gov (United States)

    Ray, Laura R; Solbeck, Jason A; Streeter, Alexander D; Collier, Robert D

    2006-10-01

    A hybrid active noise reduction (ANR) architecture is presented and validated for a circumaural earcup and a communication earplug. The hybrid system combines source-independent feedback ANR with a Lyapunov-tuned leaky LMS filter (LyLMS) improving gain stability margins over feedforward ANR alone. In flat plate testing, the earcup demonstrates an overall C-weighted total noise reduction of 40 dB and 30-32 dB, respectively, for 50-800 Hz sum-of-tones noise and for aircraft or helicopter cockpit noise, improving low frequency (control component acting individually. For the earplug, a filtered-X implementation of the LyLMS accommodates its nonconstant cancellation path gain. A fast time-domain identification method provides a high-fidelity, computationally efficient, infinite impulse response cancellation path model, which is used for both the filtered-X implementation and communication feedthrough. Insertion loss measurements made with a manikin show overall C-weighted total noise reduction provided by the ANR earplug of 46-48 dB for sum-of-tones 80-2000 Hz and 40-41 dB from 63 to 3000 Hz for UH-60 helicopter noise, with negligible degradation in attenuation during speech communication. For both hearing protectors, a stability metric improves by a factor of 2 to several orders of magnitude through hybrid ANR.

  10. Model-Based Reasoning in Humans Becomes Automatic with Training.

    Directory of Open Access Journals (Sweden)

    Marcos Economides

    2015-09-01

    Full Text Available Model-based and model-free reinforcement learning (RL have been suggested as algorithmic realizations of goal-directed and habitual action strategies. Model-based RL is more flexible than model-free but requires sophisticated calculations using a learnt model of the world. This has led model-based RL to be identified with slow, deliberative processing, and model-free RL with fast, automatic processing. In support of this distinction, it has recently been shown that model-based reasoning is impaired by placing subjects under cognitive load--a hallmark of non-automaticity. Here, using the same task, we show that cognitive load does not impair model-based reasoning if subjects receive prior training on the task. This finding is replicated across two studies and a variety of analysis methods. Thus, task familiarity permits use of model-based reasoning in parallel with other cognitive demands. The ability to deploy model-based reasoning in an automatic, parallelizable fashion has widespread theoretical implications, particularly for the learning and execution of complex behaviors. It also suggests a range of important failure modes in psychiatric disorders.

  11. Model-Based Reasoning in Humans Becomes Automatic with Training

    Science.gov (United States)

    Lübbert, Annika; Guitart-Masip, Marc; Dolan, Raymond J.

    2015-01-01

    Model-based and model-free reinforcement learning (RL) have been suggested as algorithmic realizations of goal-directed and habitual action strategies. Model-based RL is more flexible than model-free but requires sophisticated calculations using a learnt model of the world. This has led model-based RL to be identified with slow, deliberative processing, and model-free RL with fast, automatic processing. In support of this distinction, it has recently been shown that model-based reasoning is impaired by placing subjects under cognitive load—a hallmark of non-automaticity. Here, using the same task, we show that cognitive load does not impair model-based reasoning if subjects receive prior training on the task. This finding is replicated across two studies and a variety of analysis methods. Thus, task familiarity permits use of model-based reasoning in parallel with other cognitive demands. The ability to deploy model-based reasoning in an automatic, parallelizable fashion has widespread theoretical implications, particularly for the learning and execution of complex behaviors. It also suggests a range of important failure modes in psychiatric disorders. PMID:26379239

  12. Improved Capacitor Voltage Feedforward for Three-Phase LCL-Type Grid-Connected Converter to Suppress Start-Up Inrush Current

    Directory of Open Access Journals (Sweden)

    Shiying Zhou

    2017-05-01

    Full Text Available Three-phase active damping LCL-type grid-connected converters are usually used in distributed power generation systems. However, serious inrush current will be aroused when the grid-connected converter starts, especially in rectifier mode, if no effective control method is taken. The point of common coupling (PCC voltage feedforward is usually used to suppress start-up inrush current. Unfortunately, it will introduce a positive feedback loop related to the grid current and grid impedance under weak grid conditions, and therefore, the grid current will be distorted and the system stability margin will be significantly reduced. To solve the above problems, this paper proposes a simple method based on a d-axis fundamental positive-sequence component of filter capacitor voltage feedforward, without extra sensors and software resources. With the proposed method, it is possible to suppress the start-up inrush current and maintain the grid current quality and system stability under weak grid conditions. The mechanism of start-up inrush current and the effectiveness of the method for inrush current suppression are analyzed in detail. Then, the influences of different feedforward methods on system stability are analyzed under weak grid conditions by the impedance model of grid-connected converter. Finally, experimental results verify the validity of the proposed method.

  13. Andragogical Model in Language Training of Mining Specialists

    Directory of Open Access Journals (Sweden)

    Bondareva Evgeniya

    2017-01-01

    Full Text Available Nowadays foreign language competence is one of the main professional skills of mining engineers. Modern competitive conditions require the ability for meeting production challenges in a foreign language from specialists and managers of mining enterprises. This is the reason of high demand on foreign language training/retraining courses. Language training of adult learners fundamentally differs from children and adolescent education. The article describes the features of andragogical learning model. The authors conclude that distance learning is the most productive education form having a number of obvious advantages over traditional (in-class one. Interactive learning method that involves active engagement of adult trainees appears to be of the greatest interest due to introduction of modern information and communication technologies for distance learning.

  14. Andragogical Model in Language Training of Mining Specialists

    Science.gov (United States)

    Bondareva, Evgeniya; Chistyakova, Galina; Kleshevskyi, Yury; Sergeev, Sergey; Stepanov, Aleksey

    2017-11-01

    Nowadays foreign language competence is one of the main professional skills of mining engineers. Modern competitive conditions require the ability for meeting production challenges in a foreign language from specialists and managers of mining enterprises. This is the reason of high demand on foreign language training/retraining courses. Language training of adult learners fundamentally differs from children and adolescent education. The article describes the features of andragogical learning model. The authors conclude that distance learning is the most productive education form having a number of obvious advantages over traditional (in-class) one. Interactive learning method that involves active engagement of adult trainees appears to be of the greatest interest due to introduction of modern information and communication technologies for distance learning.

  15. Low-Latency Digital Signal Processing for Feedback and Feedforward in Quantum Computing and Communication

    Science.gov (United States)

    Salathé, Yves; Kurpiers, Philipp; Karg, Thomas; Lang, Christian; Andersen, Christian Kraglund; Akin, Abdulkadir; Krinner, Sebastian; Eichler, Christopher; Wallraff, Andreas

    2018-03-01

    Quantum computing architectures rely on classical electronics for control and readout. Employing classical electronics in a feedback loop with the quantum system allows us to stabilize states, correct errors, and realize specific feedforward-based quantum computing and communication schemes such as deterministic quantum teleportation. These feedback and feedforward operations are required to be fast compared to the coherence time of the quantum system to minimize the probability of errors. We present a field-programmable-gate-array-based digital signal processing system capable of real-time quadrature demodulation, a determination of the qubit state, and a generation of state-dependent feedback trigger signals. The feedback trigger is generated with a latency of 110 ns with respect to the timing of the analog input signal. We characterize the performance of the system for an active qubit initialization protocol based on the dispersive readout of a superconducting qubit and discuss potential applications in feedback and feedforward algorithms.

  16. Performance assessment of static lead-lag feedforward controllers for disturbance rejection in PID control loops.

    Science.gov (United States)

    Yu, Zhenpeng; Wang, Jiandong

    2016-09-01

    This paper assesses the performance of feedforward controllers for disturbance rejection in univariate feedback plus feedforward control loops. The structures of feedback and feedforward controllers are confined to proportional-integral-derivative and static-lead-lag forms, respectively, and the effects of feedback controllers are not considered. The integral squared error (ISE) and total squared variation (TSV) are used as performance metrics. A performance index is formulated by comparing the current ISE and TSV metrics to their own lower bounds as performance benchmarks. A controller performance assessment (CPA) method is proposed to calculate the performance index from measurements. The proposed CPA method resolves two critical limitations in the existing CPA methods, in order to be consistent with industrial scenarios. Numerical and experimental examples illustrate the effectiveness of the obtained results. Copyright © 2016 ISA. Published by Elsevier Ltd. All rights reserved.

  17. Sidemode suppression for coupled optoelectronic oscillator by optical pulse power feedforward.

    Science.gov (United States)

    Dai, Yitang; Wang, Ruixin; Yin, Feifei; Dai, Jian; Yu, Lan; Li, Jianqiang; Xu, Kun

    2015-10-19

    Multiple sidemodes have been observed in a coupled optoelectronic oscillator (COEO) when the contained actively mode-locked fiber ring laser employs erbium-doped fiber (EDF). We propose that such sidemodes can be suppressed significantly by an optical pulse power feedforward scheme, through which the mode-locked optical pulse is reversely intensity-modulated by itself, resulting in a fast power limiting. Experimentally we show that sidemodes are suppressed as much as 40 dB in a 10-GHz COEO. The additional noise induced by the power feedforward technique is analyzed numerically. We show that for a COEO with a typical cavity length, the feedforward contribution to final single-side band (SSB) noise is minor and neglectable.

  18. Disturbance rejection using feed-forward control system on self balancing robot

    Directory of Open Access Journals (Sweden)

    Henryranu Prasetio Barlian

    2018-01-01

    Full Text Available This research implements self-balancing robot using 3 algorithms. There are PID Controller, Ensemble Kalman Filter and Feed-Forward Control system. The PID controller function is as a robot equilibrium control system. The Kalman Ensemble algorithm is used to reduce noise measurement of accelerometer and gyroscope sensors. The PID controller and Ensemble Kalman filter were implemented on self-balancing robot in previous research. In this paper, we added the Feed-Forward controller that serves to detect disturbance derived from the unevenness of the ground. Disturbance is detected using 2 proximity sensors. Base on test results that the system can detect disturbance with an average delay of 2.15 seconds at Kff optimal value is 2.92. Feed-Forward effects result in self-balancing robots increasing power so that the pitch of the robot changes to anticipation of disturbance.

  19. Aesthetic Surgery Training during Residency in the United States: A Comparison of the Integrated, Combined, and Independent Training Models

    Science.gov (United States)

    Momeni, Arash; Kim, Rebecca Y.; Wan, Derrick C.; Izadpanah, Ali; Lee, Gordon K.

    2014-01-01

    Background. Three educational models for plastic surgery training exist in the United States, the integrated, combined, and independent model. The present study is a comparative analysis of aesthetic surgery training, to assess whether one model is particularly suitable to provide for high-quality training in aesthetic surgery. Methods. An 18-item online survey was developed to assess residents' perceptions regarding the quality of training in aesthetic surgery in the US. The survey had three distinct sections: demographic information, current state of aesthetic surgery training, and residents' perception regarding the quality of aesthetic surgery training. Results. A total of 86 senior plastic surgery residents completed the survey. Twenty-three, 24, and 39 residents were in integrated, combined, and independent residency programs, respectively. No statistically significant differences were seen with respect to number of aesthetic surgery procedures performed, additional training received in minimal-invasive cosmetic procedures, median level of confidence with index cosmetic surgery procedures, or perceived quality of aesthetic surgery training. Facial aesthetic procedures were felt to be the most challenging procedures. Exposure to minimally invasive aesthetic procedures was limited. Conclusion. While the educational experience in aesthetic surgery appears to be similar, weaknesses still exist with respect to training in minimally invasive/nonsurgical aesthetic procedures. PMID:25225615

  20. Evaluation of a dental model for training veterinary students.

    Science.gov (United States)

    Lumbis, Rachel H; Gregory, Susan P; Baillie, Sarah

    2012-01-01

    Periodontal disease has deleterious effects on an animal's health and potentially serious implications for its welfare. Consequently, veterinarians frequently perform routine periodontal treatment in small-animal practice. One would therefore assume that small-animal dentistry would constitute a core component of a veterinary curriculum. However, most practitioners received little or no formal training in dentistry during their veterinary degrees, and the amount of instruction students currently receive is variable, often with limited opportunities to practice. At the Royal Veterinary College, a prototype dental model was developed to address the lack of practical training; it was made using ceramic tiles, silicone sealant, and grout to emulate teeth, gingiva, and calculus, respectively. A study was conducted with third-year veterinary students to compare the outcomes of learning to perform a professional dental cleaning using a model (group A) or a video (group B). Performance was assessed using an objective structured clinical examination. Students in group A scored significantly better than those in group B (pdentistry-related skills. All students identified a model as a potentially valuable learning tool to supplement existing teaching methods and facilitate the acquisition of small-animal dentistry skills. The dental model has the potential to equip students with useful, practical skills in a safe and risk-free environment.

  1. Character Recognition Using Genetically Trained Neural Networks

    Energy Technology Data Exchange (ETDEWEB)

    Diniz, C.; Stantz, K.M.; Trahan, M.W.; Wagner, J.S.

    1998-10-01

    Computationally intelligent recognition of characters and symbols addresses a wide range of applications including foreign language translation and chemical formula identification. The combination of intelligent learning and optimization algorithms with layered neural structures offers powerful techniques for character recognition. These techniques were originally developed by Sandia National Laboratories for pattern and spectral analysis; however, their ability to optimize vast amounts of data make them ideal for character recognition. An adaptation of the Neural Network Designer soflsvare allows the user to create a neural network (NN_) trained by a genetic algorithm (GA) that correctly identifies multiple distinct characters. The initial successfid recognition of standard capital letters can be expanded to include chemical and mathematical symbols and alphabets of foreign languages, especially Arabic and Chinese. The FIN model constructed for this project uses a three layer feed-forward architecture. To facilitate the input of characters and symbols, a graphic user interface (GUI) has been developed to convert the traditional representation of each character or symbol to a bitmap. The 8 x 8 bitmap representations used for these tests are mapped onto the input nodes of the feed-forward neural network (FFNN) in a one-to-one correspondence. The input nodes feed forward into a hidden layer, and the hidden layer feeds into five output nodes correlated to possible character outcomes. During the training period the GA optimizes the weights of the NN until it can successfully recognize distinct characters. Systematic deviations from the base design test the network's range of applicability. Increasing capacity, the number of letters to be recognized, requires a nonlinear increase in the number of hidden layer neurodes. Optimal character recognition performance necessitates a minimum threshold for the number of cases when genetically training the net. And, the

  2. Modeling Broadband Microwave Structures by Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    V. Otevrel

    2004-06-01

    Full Text Available The paper describes the exploitation of feed-forward neural networksand recurrent neural networks for replacing full-wave numerical modelsof microwave structures in complex microwave design tools. Building aneural model, attention is turned to the modeling accuracy and to theefficiency of building a model. Dealing with the accuracy, we describea method of increasing it by successive completing a training set.Neural models are mutually compared in order to highlight theiradvantages and disadvantages. As a reference model for comparisons,approximations based on standard cubic splines are used. Neural modelsare used to replace both the time-domain numeric models and thefrequency-domain ones.

  3. 53 MHZ Feedforward beam loading compensation in the Fermilab main injector

    International Nuclear Information System (INIS)

    Joseph E Dey et al.

    2003-01-01

    53 MHz feedforward beam loading compensation is crucial to all operations of the Main Injector. Recently a system using a fundamental frequency down converter mixer, a digital bucket delay module and a fundamental frequency up converter mixer were used to produce a one-turn-delay feedforward signal. This signal was then combined with the low level RF signal to the cavities to cancel the transient beam induced voltage. During operation they have shown consistently over 20 dB reduction in side-band voltage around the fundamental frequency during Proton coalescing and over 14 dB in multi-batch antiproton coalescing

  4. Impaired Feedforward Control and Enhanced Feedback Control of Speech in Patients with Cerebellar Degeneration.

    Science.gov (United States)

    Parrell, Benjamin; Agnew, Zarinah; Nagarajan, Srikantan; Houde, John; Ivry, Richard B

    2017-09-20

    The cerebellum has been hypothesized to form a crucial part of the speech motor control network. Evidence for this comes from patients with cerebellar damage, who exhibit a variety of speech deficits, as well as imaging studies showing cerebellar activation during speech production in healthy individuals. To date, the precise role of the cerebellum in speech motor control remains unclear, as it has been implicated in both anticipatory (feedforward) and reactive (feedback) control. Here, we assess both anticipatory and reactive aspects of speech motor control, comparing the performance of patients with cerebellar degeneration and matched controls. Experiment 1 tested feedforward control by examining speech adaptation across trials in response to a consistent perturbation of auditory feedback. Experiment 2 tested feedback control, examining online corrections in response to inconsistent perturbations of auditory feedback. Both male and female patients and controls were tested. The patients were impaired in adapting their feedforward control system relative to controls, exhibiting an attenuated anticipatory response to the perturbation. In contrast, the patients produced even larger compensatory responses than controls, suggesting an increased reliance on sensory feedback to guide speech articulation in this population. Together, these results suggest that the cerebellum is crucial for maintaining accurate feedforward control of speech, but relatively uninvolved in feedback control. SIGNIFICANCE STATEMENT Speech motor control is a complex activity that is thought to rely on both predictive, feedforward control as well as reactive, feedback control. While the cerebellum has been shown to be part of the speech motor control network, its functional contribution to feedback and feedforward control remains controversial. Here, we use real-time auditory perturbations of speech to show that patients with cerebellar degeneration are impaired in adapting feedforward control of

  5. Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy

    OpenAIRE

    Nikolaidis, Stefanos; Shah, Julie A.

    2013-01-01

    We design and evaluate human-robot cross-training, a strategy widely used and validated for effective human team training. Cross-training is an interactive planning method in which a human and a robot iteratively switch roles to learn a shared plan for a collaborative task. We first present a computational formulation of the robot's interrole knowledge and show that it is quantitatively comparable to the human mental model. Based on this encoding, we formulate human-robot cross-training and e...

  6. Comprehensive Analysis of Chicken Vessels as Microvascular Anastomosis Training Model

    Directory of Open Access Journals (Sweden)

    Bo Young Kang

    2017-01-01

    Full Text Available BackgroundNonliving chickens are commonly used as a microvascular anastomosis training model. However, previous studies have investigated only a few types of vessel, and no study has compared the characteristics of the various vessels. The present study evaluated the anatomic characteristics of various chicken vessels as a training model.MethodsEight vessels—the brachial artery, basilic vein, radial artery, ulnar artery, ischiatic artery and vein, cranial tibial artery, and common dorsal metatarsal artery—were evaluated in 26 fresh chickens and 30 chicken feet for external diameter (ED and thicknesses of the tunica adventitia and media. The dissection time from skin incision to application of vessel clamps was also measured.ResultsThe EDs of the vessels varied. The ischiatic vein had the largest ED of 2.69±0.33 mm, followed by the basilic vein (1.88±0.36 mm, ischiatic artery (1.68±0.24 mm, common dorsal metatarsal artery (1.23±0.23 mm, cranial tibial artery (1.18±0.19 mm, brachial artery (1.08±0.15 mm, ulnar artery (0.82±0.13 mm, and radial artery (0.56±0.12 mm, and the order of size was consistent across all subjects. Thicknesses of the tunica adventitia and media were also diverse, ranging from 74.09±19.91 µm to 158.66±40.25 µm (adventitia and from 31.2±7.13 µm to 154.15±46.48 µm (media, respectively. Mean dissection time was <3 minutes for all vessels.ConclusionsOur results suggest that nonliving chickens can provide various vessels with different anatomic characteristics, which can allow trainees the choice of an appropriate microvascular anastomosis training model depending on their purpose and skillfulness.

  7. Efektivitas Model Pembelajaran Discerete Trial Training untuk Siswa Penyandang Autisme

    Directory of Open Access Journals (Sweden)

    Melan Puji Sulistiyaningsih

    2017-04-01

    Full Text Available Tujuan Penelitian ini untuk mendeskripsikan dan menganalisis: Bagaimana perencanaan, pelaksanaan, dan evaluasi pembelajaran bagi penyandang autisme pada mata pelajaran TIK kelas IV di SDLB Talitakum Semarang. Metode yang digunakan adalah kualitatif deskriptif. Teknik pengumpulan data dengan melakukan wawancara, observasi dan studidokumentasi terhadap implementasi model pembelajaran. Analisis hasil penelitian ini dapat disimpulkan bahawa (1 Dalam perencanaan proses pembelajaran guru menggunakan kurikulum 2013 yang disesuaikan dengan kemampuan penyandang autisme. Pendekatan yang digunakan yaitu saintifk yang telah dimodifkasi, menggunakan model Happy Class, metode pembelajaran khusus yaitu Discrete Trial Training (DTT dalam proses pembelajaran, dan metode komunikasi khusus Metode Maternal Reflektif (MMR. (2 Pelaksanaan Model HC, Metode DTT, dan MMR dalam satu kelas terdiri dari 5 siswa dan 2 guru terbukti efektif dan membuat kelas kondusif. (3 Evaluasi pembelajaran menggunakan evaluasi Educational System Evaluation yang menekankan bahwa evaluasi dilakukan dalam setiap tahap dan proses pembelajaran setiap harinya melalui Buku Penghubung.

  8. Outage Analysis of Train-to-Train Communication Model over Nakagami-m Channel in High-Speed Railway

    Directory of Open Access Journals (Sweden)

    Pengyu Liu

    2013-01-01

    Full Text Available This paper analyzes the end-to-end outage performance of high-speed-railway train-to-train communication model in high-speed railway over independent identical and nonidentical Nakagami-m channels. The train-to-train communication is inter-train communication without an aid of infrastructure (for base station. Source train uses trains on other rail tracks as relays to transmit signals to destination train on the same track. The mechanism of such communication among trains can be divided into three cases based on occurrence of possible-occurrence relay trains. We first present a new closed form for the sum of squared independent Nakagami-m variates and then derive an expression for the outage probability of the identical and non-identical Nakagami-m channels in three cases. In particular, the problem is improved by the proposed formulation that statistic for sum of squared Nakagami-m variates with identical m tends to be infinite. Numerical analysis indicates that the derived analytic results are reasonable and the outage performance is better over Nakagami-m channel in high-speed railway scenarios.

  9. Modelling Withdrawal and Persistence for Initial Teacher Training: Revising Tinto's Longitudinal Model of Departure

    Science.gov (United States)

    Roberts, Deborah

    2012-01-01

    This paper proposes a theoretical model to explain trainee withdrawal and persistence within higher education (HE) based initial teacher training (ITT). Within ITT, attrition and persistence are under-researched and under-theorised, thus providing the rationale for this study. Within HE more broadly, a number of models have been proposed, most…

  10. Reaction to the Major Contribution: Training for Skills Competency in Counseling Psychology--Integrating Models

    Science.gov (United States)

    Nutt, Roberta L.

    2011-01-01

    The authors of the Major Contribution have developed a complex and elegant three-level training model on which they suggest advanced microskills may be built. Prior to the description of their model, they have built a case that current microskills training has proved foundationally important but insufficient to training needs. They then invite…

  11. Comparative performance of high-fidelity training models for flexible ureteroscopy: Are all models effective?

    Directory of Open Access Journals (Sweden)

    Shashikant Mishra

    2011-01-01

    Full Text Available Objective: We performed a comparative study of high-fidelity training models for flexible ureteroscopy (URS. Our objective was to determine whether high-fidelity non-virtual reality (VR models are as effective as the VR model in teaching flexible URS skills. Materials and Methods: Twenty-one trained urologists without clinical experience of flexible URS underwent dry lab simulation practice. After a warm-up period of 2 h, tasks were performed on a high-fidelity non-VR (Uro-scopic Trainer TM ; Endo-Urologie-Modell TM and a high-fidelity VR model (URO Mentor TM . The participants were divided equally into three batches with rotation on each of the three stations for 30 min. Performance of the trainees was evaluated by an expert ureteroscopist using pass rating and global rating score (GRS. The participants rated a face validity questionnaire at the end of each session. Results: The GRS improved statistically at evaluation performed after second rotation (P<0.001 for batches 1, 2 and 3. Pass ratings also improved significantly for all training models when the third and first rotations were compared (P<0.05. The batch that was trained on the VR-based model had more improvement on pass ratings on second rotation but could not achieve statistical significance. Most of the realistic domains were higher for a VR model as compared with the non-VR model, except the realism of the flexible endoscope. Conclusions: All the models used for training flexible URS were effective in increasing the GRS and pass ratings irrespective of the VR status.

  12. Designing a training tool for imaging mental models

    Science.gov (United States)

    Dede, Christopher J.; Jayaram, Geetha

    1990-01-01

    The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network.

  13. TEKNIK JARINGAN SYARAF TIRUAN FEEDFORWARD UNTUK PREDIKSI HARGA SAHAM PADA PASAR MODAL INDONESIA

    Directory of Open Access Journals (Sweden)

    Budi Bambang DP.

    1999-01-01

    , beberapa model analisa teknik telah dipakai dan dikembangkan, beberapa analisa tersebut seperti : MACD , Fourier Transform, Accumulator Swing Index, Stochastic Oscilator dan lain lain. Sebagai masukannya digunakan beberapa macam kombinasi harga seperti : harga pembukaan, tertinggi, terendah, penutupan kemarin dan penutupan hari ini serta volume perdagangan. Dan sebagai keluaran adalah suatu grafik yang menampilkan suatu keputusan beli atau jual. Suatu cara lain dalam menentukan harga saham adalah dengan menggunakan metoda 'Fundamental Analysis', yaitu suatu analisa dimana penampilan dari suatu kinerja perusahaan didasarkan atas ratio-ratio / laporan keuangan yang ada. Teknologi sistem jaringan syaraf tiruan telah di-implementasikan dalam berbagai aplikasi terutama dalam hal pengenalan pola. Kemampuan inilah yang telah menarik beberapa kalangan dalam menggunakan jaringan syaraf tiruan untuk keperluan kesehatan, keuangan , investasi, marketing dan lain lain. Pada makalah ini akan dibahas penggunaan Jaringan syaraf tiruan Feedforward/Backpropagarion. Data dari harga saham dapat diperlakukan secara 'time series' . Jika kita mempunyai data harian selama perioda tertentu, misal : Xt (t=1,2,......, maka harga saham pada perioda berikutnya (t+h dapat diprediksi (waktu yang digunakan bisa jam, harian, mingguan , bulanan ataupun tahunan . Demikian seterusnya dilakukan suatu iterasi berulang hingan N hari kerja. Untuk mendapatkan hasil prediksi yang baik maka pada jaringan syaraf buatan hasus di-umpankan suatu masukan yang mewakili dari beberapa aspek atau segi penunjang harga suatu saham. Kemudian dilakukan prinsip pembobotan yang diadaptasikan untuk meminimumkan kesalahan prediksi pada satu langkah kedepan. Dengan menggunakan bobot akhir dilakukan suatu tindakan untuk meminimumkan kesalahan total untuk iterasi berikutnya. Saham yang akan dibahas adalah saham Semen Gresik (SMGR dan Gudang Garam (GGRM Kata kunci: prediksi harga saham, jaringan syaraf tiruan, time series feedforward

  14. High-speed linear optics quantum computing using active feed-forward.

    Science.gov (United States)

    Prevedel, Robert; Walther, Philip; Tiefenbacher, Felix; Böhi, Pascal; Kaltenbaek, Rainer; Jennewein, Thomas; Zeilinger, Anton

    2007-01-04

    As information carriers in quantum computing, photonic qubits have the advantage of undergoing negligible decoherence. However, the absence of any significant photon-photon interaction is problematic for the realization of non-trivial two-qubit gates. One solution is to introduce an effective nonlinearity by measurements resulting in probabilistic gate operations. In one-way quantum computation, the random quantum measurement error can be overcome by applying a feed-forward technique, such that the future measurement basis depends on earlier measurement results. This technique is crucial for achieving deterministic quantum computation once a cluster state (the highly entangled multiparticle state on which one-way quantum computation is based) is prepared. Here we realize a concatenated scheme of measurement and active feed-forward in a one-way quantum computing experiment. We demonstrate that, for a perfect cluster state and no photon loss, our quantum computation scheme would operate with good fidelity and that our feed-forward components function with very high speed and low error for detected photons. With present technology, the individual computational step (in our case the individual feed-forward cycle) can be operated in less than 150 ns using electro-optical modulators. This is an important result for the future development of one-way quantum computers, whose large-scale implementation will depend on advances in the production and detection of the required highly entangled cluster states.

  15. Precision requirements for single-layer feed-forward neural networks

    NARCIS (Netherlands)

    Annema, Anne J.; Hoen, K.; Hoen, Klaas; Wallinga, Hans

    1994-01-01

    This paper presents a mathematical analysis of the effect of limited precision analog hardware for weight adaptation to be used in on-chip learning feedforward neural networks. Easy-to-read equations and simple worst-case estimations for the maximum tolerable imprecision are presented. As an

  16. Feed-forward and its role in conditional linear optical quantum dynamics

    International Nuclear Information System (INIS)

    Scheel, S.; Munro, W. J.; Kok, P.; Eisert, J.; Nemoto, K.

    2006-01-01

    Nonlinear optical quantum gates can be created probabilistically using only single-photon sources, linear optical elements, and photon-number-resolving detectors. These gates are heralded but operate with probabilities much less than 1. There is currently a large gap between the performance of the known circuits and the established upper bounds on their success probabilities. One possibility for increasing the probability of success of such gates is feed-forward, where one attempts to correct certain failure events that occurred in the gate's operation. In this Brief Report we examine the role of feed-forward in improving the success probability. In particular, for the nonlinear sign-shift gate, we find that in a three-mode implementation with a single round of feed-forward the optimal average probability of success is approximately given by p success =0.272. This value is only slightly larger than the general optimal success probability without feed-forward, p success =0.25

  17. Active gust load alleviation system for flexible aircraft: Mixed feedforward/feedback approach

    DEFF Research Database (Denmark)

    Alam, Mushfiqul; Hromcik, Martin; Hanis, Tomas

    2015-01-01

    Lightweight flexible blended-wing-body (BWB) aircraft concept seems as a highly promising configuration for future high capacity airliners which suffers from reduced stiffness for disturbance loads such as gusts. A robust feedforward gust load alleviation system (GLAS) was developed to alleviate...

  18. Reflexions on feedforward control strategies for a class of sailing vehicles

    DEFF Research Database (Denmark)

    Xiao, Lin; Jouffroy, Jerome

    2010-01-01

    Sailing vehicles, whether they are sea or land-based, share the unique property of exhibiting totally different trajectories depending on where their direction of travel is with respect to the wind. Following our previous work, this paper discusses a few points related to feedforward control and ...

  19. The Conceptual Model of Future Teachers Training to Dual Education in VET (Vocational Education & Training)

    Science.gov (United States)

    Zholdasbekova, Saule; Nurzhanbayeva, Zhanat; Karatayev, Galymzhan; Akhmet, Laura Smatullaevna; Anarmetov, Bahitzhan

    2016-01-01

    In the article the author presents the theoretical understanding of research problems of training of the future teachers-organizers of the dual training system in vocational education & training (VET) in the conditions of the credit technology of education. The author's vision of way to solve the problem is discussed in the description of the…

  20. Transfer between training of part-tasks in complex skill training : Model development and supporting data

    NARCIS (Netherlands)

    Roessingh, J.J.M.; Kappers, A.M.L.; Koenderink, J.J.

    2002-01-01

    One of the most common instruction-strategies for training complex skills is part-training. A complex task can often be divided into part-tasks. Part-training requires that certain part-tasks or combinations of part-tasks be practised in isolation in order to promote the transfer of skills

  1. Building Customer Relationships: A Model for Vocational Education and Training Delivery.

    Science.gov (United States)

    Jarratt, Denise G.; Murphy, Tom; Lowry, Diannah

    1997-01-01

    Review of the theory of relational marketing and interviews with training providers identified a training delivery model that includes elements of trust and commitment, investment by relationship partners, and knowledge exchange, supporting relationship longevity. (SK)

  2. Development of a computer-based training (CBT) course for the FSUTMS comprehensive modeling workshop.

    Science.gov (United States)

    2008-09-01

    FSUTMS training is a major activity of the Systems Planning Office of the Florida Department of : Transportation (FDOT). The training aims to establish and maintain quality assurance for consistent : statewide modeling standards and provide up-to-dat...

  3. Modeling the Responses to Resistance Training in an Animal Experiment Study

    Directory of Open Access Journals (Sweden)

    Antony G. Philippe

    2015-01-01

    Full Text Available The aim of the present study was to test whether systems models of training effects on performance in athletes can be used to explore the responses to resistance training in rats. 11 Wistar Han rats (277 ± 15 g underwent 4 weeks of resistance training consisting in climbing a ladder with progressive loads. Training amount and performance were computed from total work and mean power during each training session. Three systems models relating performance to cumulated training bouts have been tested: (i with a single component for adaptation to training, (ii with two components to distinguish the adaptation and fatigue produced by exercise bouts, and (iii with an additional component to account for training-related changes in exercise-induced fatigue. Model parameters were fitted using a mixed-effects modeling approach. The model with two components was found to be the most suitable to analyze the training responses (R2=0.53; P<0.001. In conclusion, the accuracy in quantifying training loads and performance in a rodent experiment makes it possible to model the responses to resistance training. This modeling in rodents could be used in future studies in combination with biological tools for enhancing our understanding of the adaptive processes that occur during physical training.

  4. Enhanced Simulink Induction Motor Model for Education and Maintenance Training

    Directory of Open Access Journals (Sweden)

    Manuel Pineda-Sanchez

    2012-04-01

    Full Text Available The training of technicians in maintenance requires the use of signals produced by faulty machines in different operating conditions, which are difficult to obtain either from the industry or through destructive testing. Some tasks in electricity and control courses can also be complemented by an interactive induction machine model having a wider internal parameter configuration. This paper presents a new analytical model of induction machine under fault, which is able to simulate induction machines with rotor asymmetries and eccentricity in different load conditions, both stationary and transient states and yielding magnitudes such as currents, speed and torque. This model is faster computationally than the traditional method of simulating induction machine faults based on the Finite Element Method and also than other analytical models due to the rapid calculation of the inductances. The model is presented in Simulink by Matlab for the comprehension and interactivity with the students or lecturers and also to allow the easy combination of the effect of the fault with external influences, studying their consequences on a determined load or control system. An associated diagnosis tool is also presented.

  5. IMPLEMENTATION MODEL OF MOTOR TRACTION FORCE OF MAGLEV TRAIN

    Directory of Open Access Journals (Sweden)

    V. O. Polyakov

    2016-08-01

    Full Text Available Purpose. Traction force implementation (TFI by the motor of magnetic levitation train (MLT occurs in the process of electric-to-kinetic energy transformation at interaction of inductor and armature magnetic fields. Ac-cordingly, the aim of this study is to obtain a correct description of such energy transformation. Methodology. At the present stage, a mathematical and, in particular, computer simulation is the main and most universal tool for analysis and synthesis of processes and systems. At the same time, radical advantages of this tool make the precision of selection of a particular research methodology even more important. It is especially important for such a large and complex system as MLT. Therefore the special attention in the work is given to the rationale for choosing the research paradigm selective features. Findings. The analysis results of existing TFI process model versions indicate that each of them has both advantages and disadvantages. Therefore, one of the main results of this study was the creation of a mathematical model for such process that would preserve the advantages of previous versions, but would be free from their disadvantages. The work provides rationale for application (for the purposes of research of train motor TFI of the integrative holistic paradigm, which assimilates the advantages of the theory of electric circuit and magnetic field. Originality. The priority of creation of such paradigm and corresponding version of FI model constitute the originality of the research. Practical value. The main manifestation of practical value of this research in the opportunity, in case of use of its results, for significant increase in efficiency of MLT dynamic studies, on the condition that their generalized costs will not rise.

  6. A train dispatching model based on fuzzy passenger demand forecasting during holidays

    Directory of Open Access Journals (Sweden)

    Fei Dou Dou

    2013-03-01

    Full Text Available Abstract: Purpose: The train dispatching is a crucial issue in the train operation adjustment when passenger flow outbursts. During holidays, the train dispatching is to meet passenger demand to the greatest extent, and ensure safety, speediness and punctuality of the train operation. In this paper, a fuzzy passenger demand forecasting model is put up, then a train dispatching optimization model is established based on passenger demand so as to evacuate stranded passengers effectively during holidays. Design/methodology/approach: First, the complex features and regularity of passenger flow during holidays are analyzed, and then a fuzzy passenger demand forecasting model is put forward based on the fuzzy set theory and time series theory. Next, the bi-objective of the train dispatching optimization model is to minimize the total operation cost of the train dispatching and unserved passenger volume during holidays. Finally, the validity of this model is illustrated with a case concerned with the Beijing-Shanghai high-speed railway in China. Findings: The case study shows that the fuzzy passenger demand forecasting model can predict outcomes more precisely than ARIMA model. Thus train dispatching optimization plan proves that a small number of trains are able to serve unserved passengers reasonably and effectively. Originality/value: On the basis of the passenger demand predictive values, the train dispatching optimization model is established, which enables train dispatching to meet passenger demand in condition that passenger flow outbursts, so as to maximize passenger demand by offering the optimal operation plan.

  7. Top-down modulation on perceptual decision with balanced inhibition through feedforward and feedback inhibitory neurons.

    Directory of Open Access Journals (Sweden)

    Cheng-Te Wang

    Full Text Available Recent physiological studies have shown that neurons in various regions of the central nervous systems continuously receive noisy excitatory and inhibitory synaptic inputs in a balanced and covaried fashion. While this balanced synaptic input (BSI is typically described in terms of maintaining the stability of neural circuits, a number of experimental and theoretical studies have suggested that BSI plays a proactive role in brain functions such as top-down modulation for executive control. Two issues have remained unclear in this picture. First, given the noisy nature of neuronal activities in neural circuits, how do the modulatory effects change if the top-down control implements BSI with different ratios between inhibition and excitation? Second, how is a top-down BSI realized via only excitatory long-range projections in the neocortex? To address the first issue, we systematically tested how the inhibition/excitation ratio affects the accuracy and reaction times of a spiking neural circuit model of perceptual decision. We defined an energy function to characterize the network dynamics, and found that different ratios modulate the energy function of the circuit differently and form two distinct functional modes. To address the second issue, we tested BSI with long-distance projection to inhibitory neurons that are either feedforward or feedback, depending on whether these inhibitory neurons do or do not receive inputs from local excitatory cells, respectively. We found that BSI occurs in both cases. Furthermore, when relying on feedback inhibitory neurons, through the recurrent interactions inside the circuit, BSI dynamically and automatically speeds up the decision by gradually reducing its inhibitory component in the course of a trial when a decision process takes too long.

  8. The role of incoherent microRNA-mediated feedforward loops in noise buffering.

    Directory of Open Access Journals (Sweden)

    Matteo Osella

    2011-03-01

    Full Text Available MicroRNAs are endogenous non-coding RNAs which negatively regulate the expression of protein-coding genes in plants and animals. They are known to play an important role in several biological processes and, together with transcription factors, form a complex and highly interconnected regulatory network. Looking at the structure of this network, it is possible to recognize a few overrepresented motifs which are expected to perform important elementary regulatory functions. Among them, a special role is played by the microRNA-mediated feedforward loop in which a master transcription factor regulates a microRNA and, together with it, a set of target genes. In this paper we show analytically and through simulations that the incoherent version of this motif can couple the fine-tuning of a target protein level with an efficient noise control, thus conferring precision and stability to the overall gene expression program, especially in the presence of fluctuations in upstream regulators. Among the other results, a nontrivial prediction of our model is that the optimal attenuation of fluctuations coincides with a modest repression of the target expression. This feature is coherent with the expected fine-tuning function and in agreement with experimental observations of the actual impact of a wide class of microRNAs on the protein output of their targets. Finally, we describe the impact on noise-buffering efficiency of the cross-talk between microRNA targets that can naturally arise if the microRNA-mediated circuit is not considered as isolated, but embedded in a larger network of regulations.

  9. Multichannel feedforward control schemes with coupling compensation for active sound profiling

    Science.gov (United States)

    Mosquera-Sánchez, Jaime A.; Desmet, Wim; de Oliveira, Leopoldo P. R.

    2017-05-01

    Active sound profiling includes a number of control techniques that enables the equalization, rather than the mere reduction, of acoustic noise. Challenges may rise when trying to achieve distinct targeted sound profiles simultaneously at multiple locations, e.g., within a vehicle cabin. This paper introduces distributed multichannel control schemes for independently tailoring structural borne sound reaching a number of locations within a cavity. The proposed techniques address the cross interactions amongst feedforward active sound profiling units, which compensate for interferences of the primary sound at each location of interest by exchanging run-time data amongst the control units, while attaining the desired control targets. Computational complexity, convergence, and stability of the proposed multichannel schemes are examined in light of the physical system at which they are implemented. The tuning performance of the proposed algorithms is benchmarked with the centralized and pure-decentralized control schemes through computer simulations on a simplified numerical model, which has also been subjected to plant magnitude variations. Provided that the representation of the plant is accurate enough, the proposed multichannel control schemes have been shown as the only ones that properly deliver targeted active sound profiling tasks at each error sensor location. Experimental results in a 1:3-scaled vehicle mock-up further demonstrate that the proposed schemes are able to attain reductions of more than 60 dB upon periodic disturbances at a number of positions, while resolving cross-channel interferences. Moreover, when the sensor/actuator placement is found as defective at a given frequency, the inclusion of a regularization parameter in the cost function is seen to not hinder the proper operation of the proposed compensation schemes, at the time that it assures their stability, at the expense of losing control performance.

  10. Anatomy of hierarchy: feedforward and feedback pathways in macaque visual cortex.

    Science.gov (United States)

    Markov, Nikola T; Vezoli, Julien; Chameau, Pascal; Falchier, Arnaud; Quilodran, René; Huissoud, Cyril; Lamy, Camille; Misery, Pierre; Giroud, Pascale; Ullman, Shimon; Barone, Pascal; Dehay, Colette; Knoblauch, Kenneth; Kennedy, Henry

    2014-01-01

    The laminar location of the cell bodies and terminals of interareal connections determines the hierarchical structural organization of the cortex and has been intensively studied. However, we still have only a rudimentary understanding of the connectional principles of feedforward (FF) and feedback (FB) pathways. Quantitative analysis of retrograde tracers was used to extend the notion that the laminar distribution of neurons interconnecting visual areas provides an index of hierarchical distance (percentage of supragranular labeled neurons [SLN]). We show that: 1) SLN values constrain models of cortical hierarchy, revealing previously unsuspected areal relations; 2) SLN reflects the operation of a combinatorial distance rule acting differentially on sets of connections between areas; 3) Supragranular layers contain highly segregated bottom-up and top-down streams, both of which exhibit point-to-point connectivity. This contrasts with the infragranular layers, which contain diffuse bottom-up and top-down streams; 4) Cell filling of the parent neurons of FF and FB pathways provides further evidence of compartmentalization; 5) FF pathways have higher weights, cross fewer hierarchical levels, and are less numerous than FB pathways. Taken together, the present results suggest that cortical hierarchies are built from supra- and infragranular counterstreams. This compartmentalized dual counterstream organization allows point-to-point connectivity in both bottom-up and top-down directions. Copyright © 2013 Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

  11. Cadaver-based abscess model for medical training

    Directory of Open Access Journals (Sweden)

    Ellis MS

    2017-01-01

    Full Text Available Michael Stanley Ellis,1 Joseph T Nelson,2 Jeffrey Zane Kartchner,1 Karl Andrew Yousef,1 William J Adamas-Rappaport,3 Richard Amini4 1College of Medicine, The University of Arizona, Tucson, AZ, USA; 2Department of Orthopedic Surgery, The University of Michigan, Ann Arbor, MI, USA; 3Department of Surgery, 4Department of Emergency Medicine, The University of Arizona, Tucson, AZ, USA Abstract: Ultrasound imaging is a rapid and noninvasive tool ideal for the imaging of soft tissue infections and is associated with a change of clinician management plans in 50% of cases. We developed a realistic skin abscess diagnostic and therapeutic training model using fresh frozen cadavers and common, affordable materials. Details for construction of the model and suggested variations are presented. This cadaver-based abscess model produces high-quality sonographic images with internal echogenicity similar to a true clinical abscess, and is ideal for teaching sonographic diagnostic skills in addition to the technical skills of incision and drainage or needle aspiration. Keywords: undergraduate medical education, abscess model, ultrasound, ultrasound education, ultrasound-guided needle aspiration

  12. Artery Soft-Tissue Modelling for Stent Implant Training System

    Directory of Open Access Journals (Sweden)

    Giovanni Aloisio

    2004-08-01

    Full Text Available Virtual reality technology can be utilised to provide new systematic training methods for surgical procedures. Our aim is to build a simulator that allows medical students to practice the coronary stent implant procedure and avoids exposing patients to risks. The designed simulation system consists of a virtual environment and a haptic interface, in order to provide both the visualization of the coronary arteries and the tactile and force feedback generated during the interactions of the surgical instruments in the virtual environment. Since the arteries are soft tissues, their shape may change during an operation; for this reason physical modelling of the organs is necessary to render their behaviour under the influence of surgeon's instruments. The idea is to define a model that computes the displacement of the tissue versus time; from the displacement it is possible to calculate the response of the tissue to the surgical tool external stimuli. Information about tools displacements and tissue responses are also used to graphically model the artery wall and virtual surgical instrument deformations generated as a consequence of their coming into contact. In order to obtain a realistic simulation, the Finite Element Method has been used to model the soft tissues of the artery, using linear elasticity to reduce computational time and speed up interaction rates.

  13. Short-Term Load Forecasting Model Based on Quantum Elman Neural Networks

    Directory of Open Access Journals (Sweden)

    Zhisheng Zhang

    2016-01-01

    Full Text Available Short-term load forecasting model based on quantum Elman neural networks was constructed in this paper. The quantum computation and Elman feedback mechanism were integrated into quantum Elman neural networks. Quantum computation can effectively improve the approximation capability and the information processing ability of the neural networks. Quantum Elman neural networks have not only the feedforward connection but also the feedback connection. The feedback connection between the hidden nodes and the context nodes belongs to the state feedback in the internal system, which has formed specific dynamic memory performance. Phase space reconstruction theory is the theoretical basis of constructing the forecasting model. The training samples are formed by means of K-nearest neighbor approach. Through the example simulation, the testing results show that the model based on quantum Elman neural networks is better than the model based on the quantum feedforward neural network, the model based on the conventional Elman neural network, and the model based on the conventional feedforward neural network. So the proposed model can effectively improve the prediction accuracy. The research in the paper makes a theoretical foundation for the practical engineering application of the short-term load forecasting model based on quantum Elman neural networks.

  14. How many doctors should we train for Sri Lanka? System dynamics modelling for training needs

    Science.gov (United States)

    De Silva, D

    2017-12-26

    Over the years, Sri Lanka has achieved remarkable health gains for the money spent on health. Currently about 1450 doctors enter the health system annually. While some advocate opening up of new medical schools to address an apparent shortage of doctors in the country, others argue against it. To identify the number of doctors Sri Lanka need. System dynamics, an analytical modelling approach and a methodology for studying complex feedback systems was used. Two sub models of “need” and “supply” were developed and simulated for a period of 15 years from 2017 to 2032 At present the doctor to population ratio is 1:671 and 91% of the need has been met. This study shows that currently there is a shortage of doctors in the country. However, the supply will match the need by 2025/26. Increasing the number of doctors, will result in oversupply of doctors towards the latter part of the next decade. There is no acute necessity to open up new Medical Schools. However comprehensive health workforce analysis needs to be done once in 5 years and the number of doctors to be trained, decided accordingly.

  15. Urology residents training in laparoscopic surgery. Development of a virtual reality model.

    Science.gov (United States)

    Gutiérrez-Baños, J L; Ballestero-Diego, R; Truan-Cacho, D; Aguilera-Tubet, C; Villanueva-Peña, A; Manuel-Palazuelos, J C

    2015-11-01

    The training and learning of residents in laparoscopic surgery has legal, financial and technological limitations. Simulation is an essential tool in the training of residents as a supplement to their training in laparoscopic surgery. The training should be structured in an appropriate environment, with previously established and clear objectives, taught by professionals with clinical and teaching experience in simulation. The training should be conducted with realistic models using animals and ex-vivo tissue from animals. It is essential to incorporate mechanisms to assess the objectives during the residents' training progress. We present the training model for laparoscopic surgery for urology residents at the University Hospital Valdecilla. The training is conducted at the Virtual Hospital Valdecilla, which is associated with the Center for Medical Simulation in Boston and is accredited by the American College of Surgeons. The model is designed in 3 blocks, basic for R1, intermediate for R2-3 and advanced for R4-5, with 9 training modules. The training is conducted in 4-hour sessions for 4 afternoons, for 3 weeks per year of residence. Residents therefore perform 240 hours of simulated laparoscopic training by the end of the course. For each module, we use structured objective assessments to measure each resident's training progress. Since 2003, 9 urology residents have been trained, in addition to the 5 who are currently in training. The model has undergone changes according to the needs expressed in the student feedback. The acquisition of skills in a virtual reality model has enabled the safe transfer of those skills to actual practice. A laparoscopic surgery training program designed in structured blocks and with progressive complexity provides appropriate training for transferring the skills acquired using this model to an actual scenario while maintaining patient safety. Copyright © 2015 AEU. Publicado por Elsevier España, S.L.U. All rights reserved.

  16. Hypermedia for Training: A Software and Instructional Engineering Model.

    Science.gov (United States)

    Cortinovis, Renato

    1992-01-01

    Presents an engineering environment oriented to the development of hypermedia applications for training. Training trends are described; requirements for a computer-based training (CBT) strategy are outlined; a hypermedia course structure is examined; microinstructional events (MIEs) are explained; and technology requirements and selection are…

  17. Training courses on integrated safety assessment modelling for waste repositories

    International Nuclear Information System (INIS)

    Mallants, D.

    2007-01-01

    Near-surface or deep repositories of radioactive waste are being developed and evaluated all over the world. Also, existing repositories for low- and intermediate-level waste often need to be re-evaluated to extend their license or to obtain permission for final closure. The evaluation encompasses both a technical feasibility as well as a safety analysis. The long term safety is usually demonstrated by means of performance or safety assessment. For this purpose computer models are used that calculate the migration of radionuclides from the conditioned radioactive waste, through engineered barriers to the environment (groundwater, surface water, and biosphere). Integrated safety assessment modelling addresses all relevant radionuclide pathways from source to receptor (man), using in combination various computer codes in which the most relevant physical, chemical, mechanical, or even microbiological processes are mathematically described. SCK-CEN organizes training courses in Integrated safety assessment modelling that are intended for individuals who have either a controlling or supervising role within the national radwaste agencies or regulating authorities, or for technical experts that carry out the actual post-closure safety assessment for an existing or new repository. Courses are organised by the Department of Waste and Disposal

  18. Designing A Model of Vocational Training Programs for Disables through ODL

    Directory of Open Access Journals (Sweden)

    Shaista MAJID

    2015-01-01

    Full Text Available This study was conducted to designing a model of vocational training programs for disables. For this purpose desk review was carried out and the vocational training models/programs of Israel, U.K., Vietnam, Japan and Thailand were analyzed to form a conceptual frame work of the model. Keeping in view the local conditions/requirements a model of vocational training program was proposed. The proposed model involved the vocational training plan for the job of cashier for mild group, receptionist for moderate and computer operator for severe group. It specified the type of disability as well involved in the training plan. The model recommended the vocational training of three levels of disability; mild, moderate and severe irrespective to the type. The model consisted of details of structure, objectives, professional support involved, vocational training plan and syllabus/activities, evaluation and on job training etc. International practices regarding VT mixed with the national existing situations were critically analyzed during desk review and finally a plan of VT for disables was proposed. A survey was conducted via a questionnaire to get opinion of the heads and senior vocational instructors of Federal Government vocational training and rehabilitation centers for PWDs. The collected data was statistically analyzed to quantify the suggestions on proposed model. The major findings included that all stakeholders considered VT helpful in rehabilitation of PWDs. All heads and vocational instructors are willing to adopt this model, minimum or no extra funds are needed in its implementation, the vocational teacher employed in the centers can easily manage to adopt this model at their centers because no extra training is required for the staff and they all endorse the VT plan proposed in this model. A vocational training model is required to reduce socio-economic gap and to set professional standards by developing human resources trained in trades. The

  19. Wind Speed Preview Measurement and Estimation for Feedforward Control of Wind Turbines

    Science.gov (United States)

    Simley, Eric J.

    Wind turbines typically rely on feedback controllers to maximize power capture in below-rated conditions and regulate rotor speed during above-rated operation. However, measurements of the approaching wind provided by Light Detection and Ranging (lidar) can be used as part of a preview-based, or feedforward, control system in order to improve rotor speed regulation and reduce structural loads. But the effectiveness of preview-based control depends on how accurately lidar can measure the wind that will interact with the turbine. In this thesis, lidar measurement error is determined using a statistical frequency-domain wind field model including wind evolution, or the change in turbulent wind speeds between the time they are measured and when they reach the turbine. Parameters of the National Renewable Energy Laboratory (NREL) 5-MW reference turbine model are used to determine measurement error for a hub-mounted circularly-scanning lidar scenario, based on commercially-available technology, designed to estimate rotor effective uniform and shear wind speed components. By combining the wind field model, lidar model, and turbine parameters, the optimal lidar scan radius and preview distance that yield the minimum mean square measurement error, as well as the resulting minimum achievable error, are found for a variety of wind conditions. With optimized scan scenarios, it is found that relatively low measurement error can be achieved, but the attainable measurement error largely depends on the wind conditions. In addition, the impact of the induction zone, the region upstream of the turbine where the approaching wind speeds are reduced, as well as turbine yaw error on measurement quality is analyzed. In order to minimize the mean square measurement error, an optimal measurement prefilter is employed, which depends on statistics of the correlation between the preview measurements and the wind that interacts with the turbine. However, because the wind speeds encountered by

  20. A Risk and Prevention Counselor Training Program Model: Theory and Practice

    Science.gov (United States)

    Mason, Michael J.; Nakkula, Michael J.

    2008-01-01

    The need for training mental health counselors in risk and prevention is presented, and justification of the development of an innovative and integrative prevention training program is offered. Theoretical underpinnings that connect the counseling discipline to the field of prevention are described. A risk and prevention training model from…

  1. Development of a novel training model for dental infiltration anesthetic injections

    OpenAIRE

    クドウ, マサル; シンヤ, ノボル; Masaru, KUDO; Noboru, SHINYA

    2005-01-01

    A new dental training model (M2004IA) for infiltration local anesthetic injection was developed. In this new training model silicon gingival mucosa was designed to expand upon insertion of a needle, his to be followed by introduction of a local anesthetic solution into the silicon gum and silicon gingival mucosa (SGM). This study measured the injection pressure during injection under the SGM. The model M2004IA-HP was designed for hard palate infiltration anesthetic injection training involvin...

  2. The Infant Parent Training Institute: A Developmental Model for Training Infant Mental Health Professionals

    Science.gov (United States)

    Arons, Judith; Epstein, Ann; Sklan, Susan

    2011-01-01

    The Infant Parent Training Institute (IPTI) at Jewish Family and Children's Service of Greater Boston offers integrated clinical and theoretical infant mental health training. The curriculum reflects the belief that nurturing and reflective relationships promote optimal learning and growth. A specialty in infant mental health requires knowledge…

  3. The Impact of Personality on Training-Related Aspects of Motivation: Test of a Longitudinal Model

    Science.gov (United States)

    Rowold, Jens

    2007-01-01

    A model that proposed dispositional influences on training-related aspects of motivation was developed. More specifically, the model predicted influences of the Big Five personality variables on motivation to learn and transfer motivation, while controlling for general attitudes toward training. The model was tested empirically, drawing on a…

  4. TMOC: A Model for Lecturers' Training to Management of Online Courses in Higher-Education

    Science.gov (United States)

    Ghilay, Yaron; Ghilay, Ruth

    2014-01-01

    The study examined a new model called TMOC: Training to Management of Online Courses. The model is designed to train lecturers in higher-education to successfully create, deliver and develop online courses. The research was based on a sample of lecturers, who studied in a course based on the new model at the Mofet Institute in Tel-Aviv (n = 20).…

  5. Neural Networks For Electrohydrodynamic Effect Modelling

    Directory of Open Access Journals (Sweden)

    Wiesław Wajs

    2004-01-01

    Full Text Available This paper presents currently achieved results concerning methods of electrohydrodynamiceffect used in geophysics simulated with feedforward networks trained with backpropagation algorithm, radial basis function networks and generalized regression networks.

  6. A nonlinear model for the characterization and optimization of athletic training and performance

    Directory of Open Access Journals (Sweden)

    Turner James D.

    2017-02-01

    Full Text Available Study aim: Mathematical models of the relationship between training and performance facilitate the design of training protocols to achieve performance goals. However, current linear models do not account for nonlinear physiological effects such as saturation and over-training. This severely limits their practical applicability, especially for optimizing training strategies. This study describes, analyzes, and applies a new nonlinear model to account for these physiological effects. Material and methods: This study considers the equilibria and step response of the nonlinear differential equation model to show its characteristics and trends, optimizes training protocols using genetic algorithms to maximize performance by applying the model under various realistic constraints, and presents a case study fitting the model to human performance data. Results: The nonlinear model captures the saturation and over-training effects; produces realistic training protocols with training progression, a high-intensity phase, and a taper; and closely fits the experimental performance data. Fitting the model parameters to subsets of the data identifies which parameters have the largest variability but reveals that the performance predictions are relatively consistent. Conclusions: These findings provide a new mathematical foundation for modeling and optimizing athletic training routines subject to an individual’s personal physiology, constraints, and performance goals.

  7. A Frequency Matching Method for Generation of a Priori Sample Models from Training Images

    DEFF Research Database (Denmark)

    Lange, Katrine; Cordua, Knud Skou; Frydendall, Jan

    2011-01-01

    This paper presents a Frequency Matching Method (FMM) for generation of a priori sample models based on training images and illustrates its use by an example. In geostatistics, training images are used to represent a priori knowledge or expectations of models, and the FMM can be used to generate...... new images that share the same multi-point statistics as a given training image. The FMM proceeds by iteratively updating voxel values of an image until the frequency of patterns in the image matches the frequency of patterns in the training image; making the resulting image statistically...... indistinguishable from the training image....

  8. Off-the-job microsurgical training on dry models: Siberian experience.

    Science.gov (United States)

    Belykh, Evgenii; Byvaltsev, Vadim

    2014-01-01

    Microsurgical training has become an obligatory part of many neurosurgical training programs. To assess the cost and effectiveness of acquiring and maintaining microneurosurgical skills by training on an off-the-job basis using dry models. A dry off-the-job microneurosurgical training module was set up. Training exercises involved microdissection in a deep operation field, suturing and tying on gauze, untying, pushing of thread end, and microanastomosis. The time to complete the task and success rate were evaluated. The total cost of all necessary equipment and expendables for the training module was US$910. Fifteen residents participated in the continuous off-the-job training. The average time taken to perform the anastomosis decreased after the month of training from 90 to 20 minutes. Authors revealed that at 2 months, the total time and time to complete anastomosis increased significantly for the participants who discontinued practice after the first month, compared with those who just practiced suturing on gauze after the first month (P job training showed to be readily available and can be helpful for microsurgical training in the low-income regions of the world. Our data suggest that microsurgical training should be continuous and repetitive. Simulation training may benefit from models for repetitive training of relevant technical part-skills. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. Feedforward Neural Network for Force Coding of an MRI-Compatible Tactile Sensor Array Based on Fiber Bragg Grating

    Directory of Open Access Journals (Sweden)

    Paola Saccomandi

    2015-01-01

    Full Text Available This work shows the development and characterization of a fiber optic tactile sensor based on Fiber Bragg Grating (FBG technology. The sensor is a 3 × 3 array of FBGs encapsulated in a PDMS compliant polymer. The strain experienced by each FBG is transduced into a Bragg wavelength shift and the inverse characteristics of the sensor were computed by means of a feedforward neural network. A 21 mN RMSE error was achieved in estimating the force over the 8 N experimented load range while including all probing sites in the neural network training procedure, whereas the median force RMSE was 199 mN across the 200 instances of a Monte Carlo randomized selection of experimental sessions to evaluate the calibration under generalized probing conditions. The static metrological properties and the possibility to fabricate sensors with relatively high spatial resolution make the proposed design attractive for the sensorization of robotic hands. Furthermore, the proved MRI-compatibility of the sensor opens other application scenarios, such as the possibility to employ the array for force measurement during functional MRI-measured brain activation.

  10. Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network

    Directory of Open Access Journals (Sweden)

    Trong-Ngoc Le

    2016-01-01

    Full Text Available Objective. Our objective is to develop a computerized scheme for liver tumor segmentation in MR images. Materials and Methods. Our proposed scheme consists of four main stages. Firstly, the region of interest (ROI image which contains the liver tumor region in the T1-weighted MR image series was extracted by using seed points. The noise in this ROI image was reduced and the boundaries were enhanced. A 3D fast marching algorithm was applied to generate the initial labeled regions which are considered as teacher regions. A single hidden layer feedforward neural network (SLFN, which was trained by a noniterative algorithm, was employed to classify the unlabeled voxels. Finally, the postprocessing stage was applied to extract and refine the liver tumor boundaries. The liver tumors determined by our scheme were compared with those manually traced by a radiologist, used as the “ground truth.” Results. The study was evaluated on two datasets of 25 tumors from 16 patients. The proposed scheme obtained the mean volumetric overlap error of 27.43% and the mean percentage volume error of 15.73%. The mean of the average surface distance, the root mean square surface distance, and the maximal surface distance were 0.58 mm, 1.20 mm, and 6.29 mm, respectively.

  11. Modelling of word usage frequency dynamics using artificial neural network

    International Nuclear Information System (INIS)

    Maslennikova, Yu S; Bochkarev, V V; Voloskov, D S

    2014-01-01

    In this paper the method for modelling of word usage frequency time series is proposed. An artificial feedforward neural network was used to predict word usage frequencies. The neural network was trained using the maximum likelihood criterion. The Google Books Ngram corpus was used for the analysis. This database provides a large amount of data on frequency of specific word forms for 7 languages. Statistical modelling of word usage frequency time series allows finding optimal fitting and filtering algorithm for subsequent lexicographic analysis and verification of frequency trend models

  12. Time-optimal control of nuclear reactor power with adaptive proportional- integral-feedforward gains

    International Nuclear Information System (INIS)

    Park, Moon Ghu; Cho, Nam Zin

    1993-01-01

    A time-optimal control method which consists of coarse and fine control stages is described here. During the coarse control stage, the maximum control effort (time-optimal) is used to direct the system toward the switching boundary which is set near the desired power level. At this boundary, the controller is switched to the fine control stage in which an adaptive proportional-integral-feedforward (PIF) controller is used to compensate for any unmodeled reactivity feedback effects. This fine control is also introduced to obtain a constructive method for determining the (adaptive) feedback gains against the sampling effect. The feedforward control term is included to suppress the over-or undershoot. The estimation and feedback of the temperature-induced reactivity is also discussed

  13. Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data

    Directory of Open Access Journals (Sweden)

    Yasir Hassan Ali

    2015-01-01

    Full Text Available The thickness of an oil film lubricant can contribute to less gear tooth wear and surface failure. The purpose of this research is to use artificial neural network (ANN computational modelling to correlate spur gear data from acoustic emissions, lubricant temperature, and specific film thickness (λ. The approach is using an algorithm to monitor the oil film thickness and to detect which lubrication regime the gearbox is running either hydrodynamic, elastohydrodynamic, or boundary. This monitoring can aid identification of fault development. Feed-forward and recurrent Elman neural network algorithms were used to develop ANN models, which are subjected to training, testing, and validation process. The Levenberg-Marquardt back-propagation algorithm was applied to reduce errors. Log-sigmoid and Purelin were identified as suitable transfer functions for hidden and output nodes. The methods used in this paper shows accurate predictions from ANN and the feed-forward network performance is superior to the Elman neural network.

  14. Breast cancer detection via Hu moment invariant and feedforward neural network

    Science.gov (United States)

    Zhang, Xiaowei; Yang, Jiquan; Nguyen, Elijah

    2018-04-01

    One of eight women can get breast cancer during all her life. This study used Hu moment invariant and feedforward neural network to diagnose breast cancer. With the help of K-fold cross validation, we can test the out-of-sample accuracy of our method. Finally, we found that our methods can improve the accuracy of detecting breast cancer and reduce the difficulty of judging.

  15. Digital Gunnery: How Combat Vehicle Gunnery Training Creates a Model for Training the Mission Command System.

    Science.gov (United States)

    2017-06-09

    been numerous improvements in modern artillery before 1913, the First World War provided a catalyst for militaries to train and employ synchronized...liaison teams are a possible solution to this limitation. Many of the Army’s digital systems found their first use during the Global War on Terror...than earlier examples. Training was crucial on earlier weapon systems, such as a Civil War cannon crew, but World War I era artillery crews massing

  16. Probing feedforward and feedback contributions to awareness with visual masking and transcranial magnetic stimulation.

    Science.gov (United States)

    Tapia, Evelina; Beck, Diane M

    2014-01-01

    A number of influential theories posit that visual awareness relies not only on the initial, stimulus-driven (i.e., feedforward) sweep of activation but also on recurrent feedback activity within and between brain regions. These theories of awareness draw heavily on data from masking paradigms in which visibility of one stimulus is reduced due to the presence of another stimulus. More recently transcranial magnetic stimulation (TMS) has been used to study the temporal dynamics of visual awareness. TMS over occipital cortex affects performance on visual tasks at distinct time points and in a manner that is comparable to visual masking. We draw parallels between these two methods and examine evidence for the neural mechanisms by which visual masking and TMS suppress stimulus visibility. Specifically, both methods have been proposed to affect feedforward as well as feedback signals when applied at distinct time windows relative to stimulus onset and as a result modify visual awareness. Most recent empirical evidence, moreover, suggests that while visual masking and TMS impact stimulus visibility comparably, the processes these methods affect may not be as similar as previously thought. In addition to reviewing both masking and TMS studies that examine feedforward and feedback processes in vision, we raise questions to guide future studies and further probe the necessary conditions for visual awareness.

  17. Feed-forward and feedback projections of midbrain reticular formation neurons in the cat

    Directory of Open Access Journals (Sweden)

    Eddie ePerkins

    2014-01-01

    Full Text Available Gaze changes involving the eyes and head are orchestrated by brainstem gaze centers found within the superior colliculus (SC, paramedian pontine reticular formation (PPRF, and medullary reticular formation (MdRF. The mesencephalic reticular formation (MRF also plays a role in gaze. It receives a major input from the ipsilateral SC and contains cells that fire in relation to gaze changes. Moreover, it provides a feedback projection to the SC and feed-forward projections to the PPRF and MdRF. We sought to determine whether these MRF feedback and feed-forward projections originate from the same or different neuronal populations by utilizing paired fluorescent retrograde tracers in cats. Specifically, we tested: 1. whether MRF neurons that control eye movements form a single population by injecting the SC and PPRF with different tracers, and 2. whether MRF neurons that control head movements form a single population by injecting the SC and MdRF with different tracers. In neither case were double labeled neurons observed, indicating that feedback and feed-forward projections originate from separate MRF populations. In both cases, the labeled reticulotectal and reticuloreticular neurons were distributed bilaterally in the MRF. However, neurons projecting to the MdRF were generally constrained to the medial half of the MRF, while those projecting to the PPRF, like MRF reticulotectal neurons, were spread throughout the mediolateral axis. Thus, the medial MRF may be specialized for control of head movements, with control of eye movements being more widespread in this structure.

  18. Feedforward Delay Estimators in Adverse Multipath Propagation for Galileo and Modernized GPS Signals

    Directory of Open Access Journals (Sweden)

    Lohan Elena Simona

    2006-01-01

    Full Text Available The estimation with high accuracy of the line-of-sight delay is a prerequisite for all global navigation satellite systems. The delay locked loops and their enhanced variants are the structures of choice for the commercial GNSS receivers, but their performance in severe multipath scenarios is still rather limited. The new satellite positioning system proposals specify higher code-epoch lengths compared to the traditional GPS signal and the use of a new modulation, the binary offset carrier (BOC modulation, which triggers new challenges in the delay tracking stage. We propose and analyze here the use of feedforward delay estimation techniques in order to improve the accuracy of the delay estimation in severe multipath scenarios. First, we give an extensive review of feedforward delay estimation techniques for CDMA signals in fading channels, by taking into account the impact of BOC modulation. Second, we extend the techniques previously proposed by the authors in the context of wideband CDMA delay estimation (e.g., Teager-Kaiser and the projection onto convex sets to the BOC-modulated signals. These techniques are presented as possible alternatives to the feedback tracking loops. A particular attention is on the scenarios with closely spaced paths. We also discuss how these feedforward techniques can be implemented via DSPs.

  19. Ammonia-based feedforward and feedback aeration control in activated sludge processes.

    Science.gov (United States)

    Rieger, Leiv; Jones, Richard M; Dold, Peter L; Bott, Charles B

    2014-01-01

    Aeration control at wastewater treatment plants based on ammonia as the controlled variable is applied for one of two reasons: (1) to reduce aeration costs, or (2) to reduce peaks in effluent ammonia. Aeration limitation has proven to result in significant energy savings, may reduce external carbon addition, and can improve denitrification and biological phosphorus (bio-P) performance. Ammonia control for limiting aeration has been based mainly on feedback control to constrain complete nitrification by maintaining approximately one to two milligrams of nitrogen per liter of ammonia in the effluent. Increased attention has been given to feedforward ammonia control, where aeration control is based on monitoring influent ammonia load. Typically, the intent is to anticipate the impact of sudden load changes, and thereby reduce effluent ammonia peaks. This paper evaluates the fundamentals of ammonia control with a primary focus on feedforward control concepts. A case study discussion is presented that reviews different ammonia-based control approaches. In most instances, feedback control meets the objectives for both aeration limitation and containment of effluent ammonia peaks. Feedforward control, applied specifically for switching aeration on or off in swing zones, can be beneficial when the plant encounters particularly unusual influent disturbances.

  20. Proportional fuzzy feed-forward architecture control validation by wind tunnel tests of a morphing wing

    Directory of Open Access Journals (Sweden)

    Michel Joël Tchatchueng Kammegne

    2017-04-01

    wing for a specified flight condition. The feasibility and effectiveness of the developed control system by use of a proportional fuzzy feed-forward methodology are demonstrated experimentally through bench and wind tunnel tests of the morphing wing model.

  1. Assessment of training effects on employability within the institutional Spanish training model

    Directory of Open Access Journals (Sweden)

    Ramírez-del-Río, Antonio

    2011-12-01

    Full Text Available The association between quantity of training and employability was analysed through a non experimental research with two non equivalent groups. The operationalization of training quantity is considered to provide an indicator of training effort. Thus, training effort (number of courses was analysed as the independent variable and employability as dependent variable (occupation indicators, activity enhancement and job performance. The results show that training is related to activity enhancement, specially when workers belong to a small/medium enterprise (SME and/or to technical or qualified positions. A positive association between training and performance also appeared in the case of SMEs. Se analiza la asociación entre cantidad de formación y empleabilidad mediante una investigación no experimental con dos grupos no equivalentes. Se considera que la operativización de la cantidad de formación proporciona un indicador próximo al esfuerzo formativo realizado. Así, se estudió la variable independiente esfuerzo formativo (número de cursos y la dependiente, empleabilidad (indicadores de ocupación, enriquecimiento de actividad y desempeño. Los resultados muestran que la formación está asociada al enriquecimiento de la actividad, sobre todo si los trabajadores pertenecen a una PYME y/o a puestos técnicos o cualificados. También hay una asociación positiva entre formación y desempeño en PYMES.

  2. Different models of training and certification in plastic surgery

    NARCIS (Netherlands)

    Fodor, L.; Ciuce, C.; Fodor, M.; Shrank, C.; Lapid, O.; Kon, M.; Ramon, Y.; Ullmann, Y.

    2009-01-01

    A varying period of training followed by examinations is the usual way to become a specialist in one of the many fields of Medicine. Plastic Surgery is one of the surgical fields that require good technical and cognitive skills. The best way to train and evaluate a candidate is hard to judge. The

  3. Automation of a dust sampling train | Akinola | Journal of Modeling ...

    African Journals Online (AJOL)

    The results obtained from this work show that the flue gas sampling process can be automated using microprocessor-based control system and a sampling train. Using the sampling train developed by the British Coal Utilization Research Association (BCURA) with both the internal and external flow-meter arrangements, the ...

  4. Simulation Models for Teacher Training: Perspectives and Prospects

    Science.gov (United States)

    Sharma, Manisha

    2015-01-01

    It has always been a mind dwelling exercise for the trainers to meet the training needs of the future role players of any organization. May it be corporate offices, Government offices and charitable organizations; training is needed at various stages of job from executives to administrators, from teachers to principals, from line officer to JE and…

  5. Improving real-time train dispatching : Models, algorithms and applications

    NARCIS (Netherlands)

    D'Ariano, A.

    2008-01-01

    Traffic controllers monitor railway traffic sequencing train movements and setting routes with the aim of ensuring smooth train behaviour and limiting as much as existing delays. Due to the strict time limit available for computing a new timetable during operations, which so far is rather infeasible

  6. Effective Employment-Based Training Models for Childcare Workers

    Science.gov (United States)

    Choy, Sarojni; Haukka, Sandra

    2010-01-01

    Childcare workers play a significant role in the learning and development of children in their care. This has major implications for the training of workers. Under new reforms of the childcare industry, the Australian government now requires all workers to obtain qualifications from a vocational education and training provider (e.g. Technical and…

  7. Multivisceral transplantation in pigs: a model for research and training

    Directory of Open Access Journals (Sweden)

    André Ibrahim David

    2011-09-01

    Full Text Available Objective: To present a model for research and training inmultivisceral transplantation in pigs. Methods: Eight LargeWhite pigs (four donors and four recipients were operated. Themultivisceral transplant with stomach, duodenum, pancreas,liver and intestine was performed similarly to transplantation inhumans with a few differences, described below. Anastomoseswere performed as follows: end-to-end from the supra-hepaticvena cava of the graft to the recipient juxta diaphragmatic venacava; end-to-end from the infra-hepatic vena cava of the graftto the inferior (suprarenal vena cava of the recipient; and endto-side patch of the aorta of the graft to the infrarenal aortaof the recipient plus digestive reconstruction. Results: Theperformance of the multivisceral transplantion was possible inall four animals. Reperfusions of the multivisceral graft led to asevere ischemia-reperfusion syndrome, despite flushing of thegraft. The animals presented with hypotension and the need forhigh doses of vasoactive drugs, and all of them were sacrificedafter discontinuing these drugs. Conclusion: Some alternativesto minimize the ischemia-reperfusion syndrome, such as the useof another vasoactive drug, use of a third pig merely for bloodtransfusion, presence of an anesthesia team in the operatingroom, and reduction of the graft, will be the next steps to enableexperimental studies.

  8. Learning feedforward controller for a mobile robot vehicle

    NARCIS (Netherlands)

    Starrenburg, J.G.; Starrenburg, J.G.; van Luenen, W.T.C.; van Luenen, W.T.C.; Oelen, W.; Oelen, W.; van Amerongen, J.

    1996-01-01

    This paper describes the design and realisation of an on-line learning posetracking controller for a three-wheeled mobile robot vehicle. The controller consists of two components. The first is a constant-gain feedback component, designed on the basis of a second-order model. The second is a learning

  9. Teacher training in South Africa: The integrated model as viable option

    African Journals Online (AJOL)

    This article contributes to the debate regarding the preferred model for teacher education to provide for teacher shortages. The models commonly referred to are the consecutive model, the integrated model and the concurrent model for teacher training. The aim of this article is to determine if the integrated model for teacher ...

  10. Hybrid feedforward and feedback controller design for nuclear steam generators over wide range operation using genetic algorithm

    International Nuclear Information System (INIS)

    Zhao, Y.; Edwards, R.M.; Lee, K.Y.

    1997-01-01

    In this paper, a simplified model with a lower order is first developed for a nuclear steam generator system and verified against some realistic environments. Based on this simplified model, a hybrid multi-input and multi-out (MIMO) control system, consisting of feedforward control (FFC) and feedback control (FBC), is designed for wide range conditions by using the genetic algorithm (GA) technique. The FFC control, obtained by the GA optimization method, injects an a priori command input into the system to achieve an optimal performance for the designed system, while the GA-based FBC control provides the necessary compensation for any disturbances or uncertainties in a real steam generator. The FBC control is an optimal design of a PI-based control system which would be more acceptable for industrial practices and power plant control system upgrades. The designed hybrid MIMO FFC/FBC control system is first applied to the simplified model and then to a more complicated model with a higher order which is used as a substitute of the real system to test the efficacy of the designed control system. Results from computer simulations show that the designed GA-based hybrid MIMO FFC/FBC control can achieve good responses and robust performances. Hence, it can be considered as a viable alternative to the current control system upgrade

  11. Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gorgan Province

    Directory of Open Access Journals (Sweden)

    Fereydoon Sarmadian

    2014-01-01

    Full Text Available The two common methods used to develop PTFs are multiple-linear regression method and Artificial Neural Network. One of the advantages of neural networks compared to traditional regression PTFs is that they do not require a priori regression model, which relates input and output data and in general is difficult because these models are not known. So at present research, we compare performance of feed-forward back-propagation network to predict soil properties. Soil samples were collected from different horizons profiles located in the Gorgan Province, North of Iran. Measured soil variables included texture, organic carbon, water saturation percentage Bulk density, Infiltration rate and deep percolation. Then, multiple linear regression and neural network model were employed to develop a pedotransfer function for predicting soil parameters using easily measurable characteristics of clay, silt, SP, Bd and organic carbon. The performance of the multiple linear regression and neural network model was evaluated using a test data set by R2, RMSE and RSE. Results showed that artificial neural network with two and five neurons in hidden layer had better performance in predicting soil hydraulic properties than multivariate regression. In conclusion, the result of this study showed that both ANN and regression predicted soil properties with relatively high accuracy that showed that strong relationship between input and output data and also high accuracy in determining of data.

  12. A Context-Adaptive Teacher Training Model in a Ubiquitous Learning Environment

    Science.gov (United States)

    Chen, Min; Chiang, Feng Kuang; Jiang, Ya Na; Yu, Sheng Quan

    2017-01-01

    In view of the discrepancies in teacher training and teaching practice, this paper put forward a context-adaptive teacher training model in a ubiquitous learning (u-learning) environment. The innovative model provides teachers of different subjects with adaptive and personalized learning content in a u-learning environment, implements intra- and…

  13. Study on Innovation of Teacher Training Model in Basic Education from the Perspective of "Blended Learning"

    Science.gov (United States)

    Bu, Huabai; Bu, Shizhen

    2012-01-01

    Gradual integration of synergetic technology, P2P technology and online learning community furnishes a new research field for innovation of teacher training model in a knowledge economy era. This article proposes the innovative model of "whole of three lines" in teacher training in basic education from the perspective of "blended…

  14. A new beating-heart off-pump coronary artery bypass grafting training model

    NARCIS (Netherlands)

    Bouma, Wobbe; Kuijpers, Michiel; Bijleveld, Aanke; De Maat, Gijs E.; Koene, Bart M.; Erasmus, Michiel E.; Natour, Ehsan; Mariani, Massimo A.

    OBJECTIVES: Training models are essential in mastering the skills required for off-pump coronary artery bypass grafting (OPCAB). We describe a new, high-fidelity, effective and reproducible beating-heart OPCAB training model in human cadavers. METHODS: Human cadavers were embalmed according to the

  15. Optimizing Intermodal Train Schedules with a Design Balanced Network Design Model

    DEFF Research Database (Denmark)

    Pedersen, Michael Berliner; Crainic, Teodor Gabriel

    We present a modeling approach for optimizing intermodal trains schedules based on an infrastructure divided into time-dependent train paths. The formulation can be generalized to a capacitated multi commodity network design model with additional design balance constraints. We present a Tabu Search...

  16. Evaluating Vocational Educators' Training Programs: A Kirkpatrick-Inspired Evaluation Model

    Science.gov (United States)

    Ravicchio, Fabrizio; Trentin, Guglielmo

    2015-01-01

    The aim of the article is to describe the assessment model adopted by the SCINTILLA Project, a project in Italy aimed at the online vocational training of young, seriously-disabled subjects and their subsequent work inclusion in smart-work mode. It will thus describe the model worked out for evaluation of the training program conceived for the…

  17. An Effective Procedure for Training Early Special Education Teams to Implement a Model Program.

    Science.gov (United States)

    Rogers, Sally J.; And Others

    1987-01-01

    Training of early special education teams (serving 11 autistic and 10 developmentally-delayed children) to use the Playschool model resulted in: positive perception of the training's value; increases in knowledge about child development, infantile autism, and the model; increased use of Playschool techniques; and positive developmental changes in…

  18. A generic model for evaluation of the Federal Aviation Administration air traffic control specialist training programs.

    Science.gov (United States)

    1982-03-01

    The Systems Analysis Research Unit at the Civil Aeromedical Institute (CAMI) has developed a generic model for Federal Aviation Administration (FAA) Academy training program evaluation. The model will serve as a basis for integrating the total data b...

  19. Train flow chaos analysis based on an improved cellular automata model

    International Nuclear Information System (INIS)

    Meng, Xuelei; Xiang, Wanli; Jia, Limin; Xu, Jie

    2015-01-01

    To control the chaos in the railway traffic flow and offer valuable information for the dispatchers of the railway system, an improved cellular model is presented to detect and analyze the chaos in the traffic flow. We first introduce the working mechanism of moving block system, analyzing the train flow movement characteristics. Then we improve the cellular model on the evolution rules to adjust the train flow movement. We give the train operation steps from three cases: the trains running on a railway section, a train will arrive in a station and a train will departure from a station. We simulate 4 trains to run on a high speed section fixed with moving block system and record the distances between the neighbor trains and draw the Poincare section to analyze the chaos in the train operation. It is concluded that there is not only chaos but order in the train operation system with moving blocking system and they can interconvert to each other. The findings have the potential value in train dispatching system construction and offer supporting information for the daily dispatching work.

  20. Houston, We Have a Problem Solving Model for Training

    Science.gov (United States)

    Schmidt, Lacey; Slack, Kelley; Keeton, Kathryn; Barshi, Immanuel; Martin, Lynne; Mauro, Robert; O'Keefe, William; Baldwin, Evelyn; Huning, Therese

    2011-01-01

    In late 2006, the Mission Operations Directorate (MOD) at NASA began looking at ways to make training more efficient for the flight controllers who support the International Space Station. The average certification times for flight controllers spanned from 18 months to three years and the MOD, responsible for technical training, was eager to develop creative solutions that would reduce the time to 12 months. Additionally, previously trained flight controllers sometimes participated in more than 50 very costly, eight-hour integrated simulations before becoming certified. New trainees needed to gain proficiency with far fewer lessons and training simulations than their predecessors. This poster presentation reviews the approach and the process that is currently in development to accomplish this goal.

  1. CGAT: a model for immersive personalized training in computational genomics.

    Science.gov (United States)

    Sims, David; Ponting, Chris P; Heger, Andreas

    2016-01-01

    How should the next generation of genomics scientists be trained while simultaneously pursuing high quality and diverse research? CGAT, the Computational Genomics Analysis and Training programme, was set up in 2010 by the UK Medical Research Council to complement its investment in next-generation sequencing capacity. CGAT was conceived around the twin goals of training future leaders in genome biology and medicine, and providing much needed capacity to UK science for analysing genome scale data sets. Here we outline the training programme employed by CGAT and describe how it dovetails with collaborative research projects to launch scientists on the road towards independent research careers in genomics. © The Author 2015. Published by Oxford University Press.

  2. Robust Motion Control of Industrial Robot Based on Robot Parameter Identification and Feedforward Control Considering Resonant Frequency

    Science.gov (United States)

    Tungpataratanawong, Somsawas; Ohishi, Kiyoshi; Miyazaki, Toshimasa

    In control application of industrial robot manipulator, a two-inertia resonant system is normally represented as the basic plant model for various control schemes. Various control techniques with partially feedback linearization have been proposed to achieve high performance motion control. The design of such controllers basically relies on system mechanical parameters. The proper parameters of the model cannot be obtained by the parameter identification based on only manipulator force and motion measurements. In this paper, the open-loop resonant frequency characteristic of the flexible joint is employed to identify the proper mechanical parameters of the two-inertia model. The nominal link inertia and spring constant of gear drive can be readily measured by this novel identification method. The identified parameters are used in independent-joint controller design for conventional PD control scheme and robust control scheme to verify the effectiveness of the proposed identification method. Moreover, the accuracy improvement of the proposed robust control scheme based on feedforward inverse dynamic compensation and D-PD position control gives support the validity of the proposed identification method.

  3. Cultural Adaptation of the Skills Training Model: Assertion Training with American Indians.

    Science.gov (United States)

    LaFromboise, Teresa D.; Rowe, Wayne

    A skills training approach provides a conceptual framework from which human services can be provided for the personal and emotional needs of Indian people without the subtle, culturally erosive effect of traditional psychotherapy. Some 30 tribal groups and agencies participated in a cultural adaptation of an assertive coping-skills training…

  4. Training community mental health staff in Guangzhou, China: evaluation of the effect of a new training model.

    Science.gov (United States)

    Li, Jie; Li, Juan; Thornicroft, Graham; Yang, Hui; Chen, Wen; Huang, Yuanguang

    2015-10-26

    Increasing numbers of people with mental disorders receive services at primary care in China. The aims of this study are to evaluate impact of a new training course and supervision for community mental health staff to enhance their levels of mental health knowledge and to reduce their stigmatization toward people with mental illness. A total of 77 community mental health staff from eight regions in Guangzhou in China were recruited for the study.4 regions were randomly allocated to the new training model group, and 4 to the old training model group. Levels of mental health knowledge were measured by purpose-made assessment schedule and by the Mental Health Knowledge Schedule (MAKS). Stigma was evaluated by the Mental Illness: Clinicians' Attitudes Scale (MICA) and the Reported and Intended Behavior Scale (RIBS). Evaluation questionnaires were given at the beginning of course, at the end, and at 6 month and at 12 month follow-up. After the training period, the 6-month, and the 12-month, knowledge scores of the intervention group were higher than the control group. At 6-month and 12-month follow-up, means scores of MAKS of the intervention group increased more than the control group (both p training, at 6-months, and at 12-months, mean scores of RIBS of the intervention group increased more than the control (p training course and supervision, the new course improved community mental health staff knowledge of mental disorders, improving their attitudes toward people with mental disorder, and increasing their willingness to have contact with people with mental disorder.

  5. A Model Train-The-Trainer Program for HACCP-Based Food Safety Training in the Retail/Food Service Industry: An Evaluation.

    Science.gov (United States)

    Martin, Kenneth E.; Knabel, Steve; Mendenhall, Von

    1999-01-01

    A survey showed states are adopting higher training and certification requirements for food-service workers. A train-the-trainer model was developed to prepare extension agents, health officers, and food-service managers to train others in food-safety procedures. (SK)

  6. Laparoscopic surgical box model training for surgical trainees with no prior laparoscopic experience.

    Science.gov (United States)

    Nagendran, Myura; Toon, Clare D; Davidson, Brian R; Gurusamy, Kurinchi Selvan

    2014-01-17

    Surgical training has traditionally been one of apprenticeship, where the surgical trainee learns to perform surgery under the supervision of a trained surgeon. This is time consuming, costly, and of variable effectiveness. Training using a box model physical simulator - either a video box or a mirrored box - is an option to supplement standard training. However, the impact of this modality on trainees with no prior laparoscopic experience is unknown. To compare the benefits and harms of box model training versus no training, another box model, animal model, or cadaveric model training for surgical trainees with no prior laparoscopic experience. We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, and Science Citation Index Expanded to May 2013. We included all randomised clinical trials comparing box model trainers versus no training in surgical trainees with no prior laparoscopic experience. We also included trials comparing different methods of box model training. Two authors independently identified trials and collected data. We analysed the data with both the fixed-effect and the random-effects models using Review Manager for analysis. For each outcome, we calculated the standardised mean difference (SMD) with 95% confidence intervals (CI) based on intention-to-treat analysis whenever possible. Twenty-five trials contributed data to the quantitative synthesis in this review. All but one trial were at high risk of bias. Overall, 16 trials (464 participants) provided data for meta-analysis of box training (248 participants) versus no supplementary training (216 participants). All the 16 trials in this comparison used video trainers. Overall, 14 trials (382 participants) provided data for quantitative comparison of different methods of box training. There were no trials comparing box model training versus animal model or cadaveric model training. Box model training versus no training: The meta-analysis showed that the time

  7. [Evaluation of simulated mandibular models in skill training of implantology for dental undergraduates].

    Science.gov (United States)

    Xu, Feng-Wei; Shang, Jiang; Song, Jian; DU, Ping-Gong; Liu, Zhong-Hao

    2017-10-01

    To explore the effects of simulated mandibular models in skill training of implantology for dental undergraduate. Pre-clinical teaching of oral implantology was implemented on simulation models for 51 undergraduates of grade 2013. Each undergraduate inserted a dental implant and took an impression in the simulation model under the teacher's guidance. After the training course, the scores were evaluated both objectively and subjectively. An average score of 91.6 was obtained in the course of oral implantology on simulated mandibular models. All students appreciated the teaching methods. They believed that training on simulation models could improve their learning interest and arouse their learning motivation. Simulated mandibular models are good tools in training of oral implantology for dental undergraduates education, which is worthy of wide application.

  8. Integrating molecular diagnostics into histopathology training: the Belfast model.

    Science.gov (United States)

    Flynn, C; James, J; Maxwell, P; McQuaid, S; Ervine, A; Catherwood, M; Loughrey, M B; McGibben, D; Somerville, J; McManus, D T; Gray, M; Herron, B; Salto-Tellez, M

    2014-07-01

    Molecular medicine is transforming modern clinical practice, from diagnostics to therapeutics. Discoveries in research are being incorporated into the clinical setting with increasing rapidity. This transformation is also deeply changing the way we practise pathology. The great advances in cell and molecular biology which have accelerated our understanding of the pathogenesis of solid tumours have been embraced with variable degrees of enthusiasm by diverse medical professional specialties. While histopathologists have not been prompt to adopt molecular diagnostics to date, the need to incorporate molecular pathology into the training of future histopathologists is imperative. Our goal is to create, within an existing 5-year histopathology training curriculum, the structure for formal substantial teaching of molecular diagnostics. This specialist training has two main goals: (1) to equip future practising histopathologists with basic knowledge of molecular diagnostics and (2) to create the option for those interested in a subspecialty experience in tissue molecular diagnostics to pursue this training. It is our belief that this training will help to maintain in future the role of the pathologist at the centre of patient care as the integrator of clinical, morphological and molecular information. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  9. Definition of a Novel Feed-Forward Mechanism for Glycolysis-HIF1α Signaling in Hypoxic Tumors Highlights Aldolase A as a Therapeutic Target.

    Science.gov (United States)

    Grandjean, Geoffrey; de Jong, Petrus R; James, Brian; Koh, Mei Yee; Lemos, Robert; Kingston, John; Aleshin, Alexander; Bankston, Laurie A; Miller, Claudia P; Cho, Eun Jeong; Edupuganti, Ramakrishna; Devkota, Ashwini; Stancu, Gabriel; Liddington, Robert C; Dalby, Kevin; Powis, Garth

    2016-07-15

    The hypoxia-inducible transcription factor HIF1α drives expression of many glycolytic enzymes. Here, we show that hypoxic glycolysis, in turn, increases HIF1α transcriptional activity and stimulates tumor growth, revealing a novel feed-forward mechanism of glycolysis-HIF1α signaling. Negative regulation of HIF1α by AMPK1 is bypassed in hypoxic cells, due to ATP elevation by increased glycolysis, thereby preventing phosphorylation and inactivation of the HIF1α transcriptional coactivator p300. Notably, of the HIF1α-activated glycolytic enzymes we evaluated by gene silencing, aldolase A (ALDOA) blockade produced the most robust decrease in glycolysis, HIF-1 activity, and cancer cell proliferation. Furthermore, either RNAi-mediated silencing of ALDOA or systemic treatment with a specific small-molecule inhibitor of aldolase A was sufficient to increase overall survival in a xenograft model of metastatic breast cancer. In establishing a novel glycolysis-HIF-1α feed-forward mechanism in hypoxic tumor cells, our results also provide a preclinical rationale to develop aldolase A inhibitors as a generalized strategy to treat intractable hypoxic cancer cells found widely in most solid tumors. Cancer Res; 76(14); 4259-69. ©2016 AACR. ©2016 American Association for Cancer Research.

  10. Definition of a novel feed-forward mechanism for glycolysis-HIF1α signaling in hypoxic tumors highlights adolase A as a therapeutic target

    Science.gov (United States)

    James, Brian; Koh, Mei Yee; Lemos, Robert; Kingston, John; Aleshin, Alexander; Bankston, Laurie A.; Miller, Claudia P.; Cho, Eun Jeong; Edupuganti, Ramakrishna; Devkota, Ashwini; Stancu, Gabriel; Liddington, Robert C.; Dalby, Kevin; Powis, Garth

    2016-01-01

    The hypoxia-inducible transcription factor HIF1α drives expression of many glycolytic enzymes. Here we show that hypoxic glycolysis, in turn, increases HIF1α transcriptional activity and stimulates tumor growth, revealing a novel feed-forward mechanism of glycolysis-HIF1α signaling. Negative regulation of HIF1α by AMPK1 is bypassed in hypoxic cells, due to ATP elevation by increased glycolysis, thereby preventing phosphorylation and inactivation of the HIF1α transcriptional co-activator p300. Notably, of the HIF1α activated glycolytic enzymes we evaluated by gene silencing, aldolase A (ALDOA) blockade produced the most robust decrease in glycolysis, HIF-1 activity and cancer cell proliferation. Furthermore, either RNAi-mediated silencing of ALDOA or systemic treatment with a specific small molecule inhibitor of aldolase A was sufficient to increase overall survival in a xenograft model of metastatic breast cancer. In establishing a novel glycolysis-HIF-1α feed-forward mechanism in hypoxic tumor cell, our results also provide a preclinical rationale to develop aldolase A inhibitors as a generalized strategy to treat intractable hypoxic cancer cells found widely in most solid tumors. PMID:27261507

  11. Professional growth of trainees: applying teacher training models to the training of GPs.

    Science.gov (United States)

    Gavriel, George; Gavriel, Jennifer

    2011-10-01

    Study of professional growth is useful for reflective purposes at any time during a career. The concept of known knowns and unknowns with a training twist can be used to summarise the overall stages of any trainee. At the start of vocational training the trainee does not know what they do not know, they have not yet recognised how much they have to learn. This happens in the second stage (that could be equated to survival) when they begin to understand the vast array of skills they must develop to make it look easy. With time and practice they will reach the point where they know what they have to do--not always getting it right but then who does? Finally, and it is particularly important that trainers recognise this, an individual will reach the point where everything is so automatic they are no longer aware of the intricacies of the skills they have acquired. This is where most trainers, both for teachers and GPs, find themselves and this can be frustrating for both trainee and trainer as they find they are unable to communicate effectively. A good trainer will spend time dissecting and 'unlearning' their skills so they are able to teach their trainees successfully. Trainees, meanwhile, must realise that, one day, they will have their own unknown knowns, but they cannot expect it to happen overnight or without substantial effort. In moving forward from our training it is how we deal with repeated survival stages that determines if we can keep doing the job, it is how we deal with the plateau that determines if we will be any good at it--effective on-the-job training leads to lifelong on-the-job learning.

  12. Feedforward correction of mirror misalignment fluctuations for the GEO 600 gravitational wave detector

    International Nuclear Information System (INIS)

    Smith, J R; Grote, H; Hewitson, M; Hild, S; Lueck, H; Parsons, M; Strain, K A; Willke, B

    2005-01-01

    The core instrument of the GEO 600 gravitational wave detector is a Michelson interferometer with folded arms. The five main optics that form this interferometer are suspended in vacuum by triple pendulums with quasi-monolithic lower stages of fused silica. After installation of these pendulums in early 2003, a larger than expected coupling of longitudinal ground motion to tilt misalignment of the suspended optics was observed. Because of this, the uncontrolled misalignment of the optics during average conditions was several μrad Hz -1/2 in the frequency band around the pendulum resonance frequencies (0.5-4 Hz). In addition, it was found that longitudinal control signals applied to the intermediate pendulum stages also resulted in excessive mirror tilt. The resulting misalignment exceeded the level tolerable for stable operation of GEO 600. In order to reduce the level of mirror tilt, a bipartite feedforward system was implemented. One part feeds signals derived from seismic measurements to piezo-electric crystals in the stacks supporting the suspensions, reducing the longitudinal motion of the uppermost suspension points. The other applies tilt correction signals, derived from longitudinal control signals, to the intermediate level of the suspensions. The seismic feedforward correction reduces the root-mean-squared tilt misalignment of each main optic between 0.1 and 5 Hz by about 10 dB, typically. The intermediate-mass feedforward correction reduces the differential tilt misalignment of the Michelson interferometer by about 10 dB between 0.1 and 0.8 Hz, typically

  13. Postural threat differentially affects the feedforward and feedback components of the vestibular-evoked balance response.

    Science.gov (United States)

    Osler, Callum J; Tersteeg, M C A; Reynolds, Raymond F; Loram, Ian D

    2013-10-01

    Circumstances may render the consequence of falling quite severe, thus maximising the motivation to control postural sway. This commonly occurs when exposed to height and may result from the interaction of many factors, including fear, arousal, sensory information and perception. Here, we examined human vestibular-evoked balance responses during exposure to a highly threatening postural context. Nine subjects stood with eyes closed on a narrow walkway elevated 3.85 m above ground level. This evoked an altered psycho-physiological state, demonstrated by a twofold increase in skin conductance. Balance responses were then evoked by galvanic vestibular stimulation. The sway response, which comprised a whole-body lean in the direction of the edge of the walkway, was significantly and substantially attenuated after ~800 ms. This demonstrates that a strong reason to modify the balance control strategy was created and subjects were highly motivated to minimise sway. Despite this, the initial response remained unchanged. This suggests little effect on the feedforward settings of the nervous system responsible for coupling pure vestibular input to functional motor output. The much stronger, later effect can be attributed to an integration of balance-relevant sensory feedback once the body was in motion. These results demonstrate that the feedforward and feedback components of a vestibular-evoked balance response are differently affected by postural threat. Although a fear of falling has previously been linked with instability and even falling itself, our findings suggest that this relationship is not attributable to changes in the feedforward vestibular control of balance. © 2013 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

  14. Model of training of computer science teachers by means of distant education technologies

    Directory of Open Access Journals (Sweden)

    Т А Соловьева

    2009-03-01

    Full Text Available Training of future computer science teachers in conditions of informatization of education is analyzed. Distant educational technologies (DET and traditional process of training, their advantages and disadvantages are considered, active functions of DET as the basis of the model of training by means of DET is stressed. It is shown that mixed education combining both distant ant traditional technologies takes place on the basis of the created model. Practical use of the model is shown on the example of the course «Recursion» for future computer science teachers.

  15. A Field Training Model for Creative Arts Therapies: Report from a 3-Year Program Evaluation

    Science.gov (United States)

    Orkibi, Hod

    2012-01-01

    Clinical field training is an essential component of educating future therapists. This article discusses a creative arts therapies field training model in Israel as designed and modified from 3 years of program evaluation in a changing regulatory context. A clinical seminar structure puts beginning students in the role of participant-observer in…

  16. Multicultural Grand Rounds: Competency-Based Training Model for Clinical Psychology Graduate Students

    Science.gov (United States)

    Stites, Shana D.; Warholic, Christina L.

    2014-01-01

    Preparing students to enter the field of psychology as competent professionals requires that multicultural practices be infused into all areas of training. This article describes how the Grand Rounds model was adapted to a graduate clinical psychology training program to foster applied learning in multicultural competence. This extension of Grand…

  17. In-Service Training of Teachers in Multicultural Urban Schools: A Systematic Model.

    Science.gov (United States)

    Nickolai-Mays, Susanne; Davis, Jerry L.

    1986-01-01

    Presents seven guidelines for developing effective teacher in-service training programs. Describes a training model for multicultural urban schools which addresses these topics: instructional methods; curriculum; interpersonal relations in the classroom; classroom management and discipline; parent-teacher-student involvement; and multicultural…

  18. A Conceptual Model for Employer Training to Manage Employee Counter-Productive Behaviors

    Science.gov (United States)

    Rock, Naomi Spickard

    2011-01-01

    The purpose of this study was to develop a model for employer training to manage employees who possess counter-productive behaviors. With the increasing encouragement for employers to hire without discriminating, the number of individuals with disabilities in the workforce will rise. There is limited training in universities and businesses to…

  19. Application of the Counseling Psychology Model Training Values Statement Addressing Diversity to the Admission Process

    Science.gov (United States)

    Loewy, Michael I.; Juntunen, Cindy L.; Duan, Changming

    2009-01-01

    This article addresses the responsibility of counseling psychology programs to communicate and implement the professional training values regarding diversity as articulated in the "Counseling Psychology Model Training Values Statement Addressing Diversity" (henceforth the "Values Statement") clearly and directly in the advertising and admission…

  20. Going beyond Kirkpatrick's Training Evaluation Model: The Role of Workplace Factors in Distance Learning Transfer

    Science.gov (United States)

    Aluko, F. R.; Shonubi, O. K.

    2014-01-01

    This article emanates from a longitudinal study of the impact of a distance education programme for teacher training on graduates' job performance, in which the authors built on the findings of a previous pilot study. After using Kirkpatrick's Training Evaluation Model in a previous study, one of the authors found there to be a strong relationship…

  1. Rationale and Resources for Teaching the Mathematical Modeling of Athletic Training and Performance

    Science.gov (United States)

    Clarke, David C.; Skiba, Philip F.

    2013-01-01

    A number of professions rely on exercise prescription to improve health or athletic performance, including coaching, fitness/personal training, rehabilitation, and exercise physiology. It is therefore advisable that the professionals involved learn the various tools available for designing effective training programs. Mathematical modeling of…

  2. Feedforward Control Strategy for the state-decoupling Stand-alone UPS with LC output filter

    DEFF Research Database (Denmark)

    Lu, Jinghang; Savaghebi, Mehdi; Guerrero, Josep M.

    2017-01-01

    In this paper, the disturbance rejection performance of the cascaded control strategy for UPS system is investigated. The comparison of closed loop system performance between conventional cascaded control (CCC) strategy and state-decoupling cascaded control (SDCC) strategy are further explored....... In order to further increase the load current disturbance rejection capability of the state-decoupling in UPS system, a feedforward control strategy is proposed. In addition, the design principle for the current and voltage regulators are discussed. Simulation and experimental results are provided...

  3. A Feed-Forward Controlled AC-DC Boost Converter for Biomedical Implants

    DEFF Research Database (Denmark)

    Jiang, Hao; Lan, Di; Lin, Dahsien

    2012-01-01

    circuit for low turn-on voltage) [1]. In order to have a high induced voltage, the size of the receiving coil often is significantly larger than rest of the implant. A rotating magnets based wireless power transfer has been demonstrated to deliver the same amount of power at much lower frequency (around...... 100 Hz) because of the superior magnetic strength produced by rare-earth magnets [2]. Taking the advantage of the low operating frequency, an innovative feed-forward controlled AC to DC boost converter has been demonstrated for the first time to accomplish the following two tasks simultaneously: (1...

  4. Effectiveness of Training Model Capacity Building for Entrepreneurship Women Based Empowerment Community

    Science.gov (United States)

    Idawati; Mahmud, Alimuddin; Dirawan, Gufran Darma

    2016-01-01

    The purpose of this research was to determine the effectiveness of a training model for capacity building of women entrepreneurship community-based. Research type approach Research and Development Model, which refers to the model of development research that developed by Romiszowki (1996) combined with a model of development Sugiono (2011) it was…

  5. How should we train consultant appraisers? Description and evaluation of a pilot training model developed in Scotland.

    Science.gov (United States)

    Wakeling, Judy; Staples, Ian; Cameron, Niall

    2012-06-01

    This paper outlines a model developed by NHS Education for Scotland to pilot consultant appraiser training. The training was aimed at both new/inexperienced appraisers and experienced appraisers. A Course for New/Inexperienced Appraisers was held over 2 days and the Experienced Course over 1 day. Both are described, as is an initial tutor induction day designed to recruit consultant tutors who could contribute to delivering the courses. A thorough qualitative evaluation of the courses was undertaken and this is reported. The paper also discusses the desirability and implications of rolling out the pilot on a wider scale. A qualitative evaluation design using interviews to collect feedback from participants who had attended all three courses - the Induction event, the Inexperienced Appraiser Course and the Experienced Appraiser Course - was employed. Telephone interviews were transcribed and analysed using framework analysis and aided by NVivo 7. The response of those interviewed for this evaluation of the three courses was very positive. The content, organization, skills of the tutors and usefulness of the courses were commended. Suggested improvements were relatively minor and included: introducing more material on the requirements of revalidation, more small group discussions and making the course more secondary care-orientated. However, it was recognized that with the requirements for 'enhanced' appraisal and revalidation still uncertain, this created difficulties and the course would evolve to take account of further developments. The training piloted represents an effective way to train consultants in appraisal skills. Interviewees were supportive of the pilot being continued: either nationally or cascaded down locally. Exactly what model is achievable and desirable will depend on the number of appraisers to be trained and the availability of resources to support 'enhanced' appraisal in secondary care. © 2011 Blackwell Publishing Ltd.

  6. Rape Counseling: A Model for Sensitizing and Training Helpers

    Science.gov (United States)

    Silver, Steven M.; Stonestreet, Susan D.

    1978-01-01

    A woman who is raped needs factual information concerning hospital and legal procedures and an emotional support system to help her focus her feelings into productive channels. This article describes a training and outreach program combining rape simulation, film, lecture, and experiential discussion to stimulate thought, action, and increased…

  7. A complementary model for medical subspecialty training in South ...

    African Journals Online (AJOL)

    training in SA is exceptionally long, which discourages trainees.[3-6]. Medical corporates have taken a limited initiative to fund education projects in collaboration with academic institutions. These projects have been unstructured, mostly ad hoc, and poorly co-ordinated. The private corporate medical sector has expressed a ...

  8. River scale model of an training dam using lightweight granulates

    NARCIS (Netherlands)

    Vermeulen, B.; Boersema, M.P.; Hoitink, A.J.F.; Sieben, J.; Sloff, C.J.; Wal, van der M.F.

    2014-01-01

    Replacing existing river groynes with longitudinal training dams is considered as a promising flood mitigation measure in the main Dutch rivers, which can also serve to guarantee navigability during low flows and to create conditions favourable for ecological development. Whereas the bed response in

  9. Histopathology practice and training in Nigeria – a model | Sabageh ...

    African Journals Online (AJOL)

    Objectives: Contemporary histopathology practice and training in Nigeria have been plagued by the fundamental issue of inadequate exposure to surgical pathology material by both trainees and trainers. This paper critically examines the factors that affect the discipline and profers practical solutions to aid its advancement.

  10. Bayesian model ensembling using meta-trained recurrent neural networks

    NARCIS (Netherlands)

    Ambrogioni, L.; Berezutskaya, Y.; Gü ç lü , U.; Borne, E.W.P. van den; Gü ç lü tü rk, Y.; Gerven, M.A.J. van; Maris, E.G.G.

    2017-01-01

    In this paper we demonstrate that a recurrent neural network meta-trained on an ensemble of arbitrary classification tasks can be used as an approximation of the Bayes optimal classifier. This result is obtained by relying on the framework of e-free approximate Bayesian inference, where the Bayesian

  11. SABER: Airland Combat Training Model Credibility Assessment and Methodology

    Science.gov (United States)

    1992-03-01

    month, and year, if available (e.g. 1 limitations or special markings in all capitals (e.g. Jan 88). Must cite at least the year. NOFORN, REL, ITAR...training at the UaiLversity of Connecticut. He graduated suma cum laude from ECSC with a B.A. in Mathematics and received his commission in May 1982. His

  12. Building Multicultural Residential Communities: A Model for Training Student Staff

    Science.gov (United States)

    Petryk, Taryn; Thompson, Monita C.; Boynton, Trelawny

    2013-01-01

    The growing diversity and changing demographics within the United States increases the importance of students developing skills to engage across identity difference. The purpose of this chapter is to describe how a pre-employment course for student staff members is used as a multicultural intervention training to provide students with the…

  13. Counseling Psychology Model Training Values Statement Addressing Diversity

    Science.gov (United States)

    Counseling Psychologist, 2009

    2009-01-01

    Respect for diversity and for values different from one's own is a central value of counseling psychology training programs. The valuing of diversity is also consistent with the profession of psychology as mandated by the American Psychological Association's (APA's) Ethical Principles and Code of Conduct and as discussed in the Guidelines and…

  14. Determining training effectiveness: a model developed for use at Connecticut Yankee

    International Nuclear Information System (INIS)

    Mulligna, R.R.

    1983-01-01

    The purpose (or intent) of training, in the Nuclear Power Industry, is to provide an operating/support organization capable of safely and efficiently operating a nuclear power plant throughout its operating lifetime. (ANSI/ANS-3.1 - 1981). It stands, then, that the extent of fulfillment of this purpose, the extent of accomplishment of this desired result, needs to be determined. (The question How well, also needs to be answered). Evolve, the Determining Training Effectiveness Program. This paper presents an Effective Training Model and discusses the construct of the Determining Training Effectiveness Program at Connecticut Yankee

  15. The Train Driver Recovery Problem - a Set Partitioning Based Model and Solution Method

    DEFF Research Database (Denmark)

    Rezanova, Natalia Jurjevna; Ryan, David

    The need to recover a train driver schedule occurs during major disruptions in the daily railway operations. Using data from the train driver schedule of the Danish passenger railway operator DSB S-tog A/S, a solution method to the Train Driver Recovery Problem (TDRP) is developed. The TDRP...... is formulated as a set partitioning problem. The LP relaxation of the set partitioning formulation of the TDRP possesses strong integer properties. The proposed model is therefore solved via the LP relaxation and Branch & Price. Starting with a small set of drivers and train tasks assigned to the drivers within...

  16. Development and Validity of a Silicone Renal Tumor Model for Robotic Partial Nephrectomy Training.

    Science.gov (United States)

    Monda, Steven M; Weese, Jonathan R; Anderson, Barrett G; Vetter, Joel M; Venkatesh, Ramakrishna; Du, Kefu; Andriole, Gerald L; Figenshau, Robert S

    2018-02-05

    Objectives To provide a training tool to address the technical challenges of robot-assisted laparoscopic partial nephrectomy, we created silicone renal tumor models using 3D printed molds of a patient's kidney with a mass. In this study, we assessed the face, content, and construct validity of these models. Materials and Methods Surgeons of different training levels completed four simulations on silicone renal tumor models. Participants were surveyed on the usefulness and realism of the model as a training tool. Performance was measured using operation specific metrics, self-reported operative demands (NASA TLX), and blinded expert assessment (GEARS). Results 24 participants included attending urologists, endourology fellows, urology residents, and medical students. Post-training surveys of expert participants yielded mean results of 79.2 on the realism of the model's overall feel and 90.2 on the model's overall usefulness for training. Renal artery clamp times and GEARS scores were significantly better in surgeons further in training (p≤0.005, p≤0.025). Renal artery clamp times, preserved renal parenchyma, positive margins, NASA TLX, and GEARS scores were all found to improve across trials (psilicone renal tumor model in a cohort of surgeons of different training levels. Expert participants deemed the model useful and realistic. Surgeons of higher training levels performed better than less experienced surgeons in various study metrics, and improvements within individuals were observed over sequential trials. Future studies should aim to assess model predictive validity, namely the association between model performance improvements and improvements in live surgery. Copyright © 2018. Published by Elsevier Inc.

  17. Model training curriculum for Low-Level Radioactive Waste Disposal Facility Operations

    International Nuclear Information System (INIS)

    Tyner, C.J.; Birk, S.M.

    1995-09-01

    This document is to assist in the development of the training programs required to be in place for the operating license for a low-level radioactive waste disposal facility. It consists of an introductory document and four additional appendixes of individual training program curricula. This information will provide the starting point for the more detailed facility-specific training programs that will be developed as the facility hires and trains new personnel and begins operation. This document is comprehensive and is intended as a guide for the development of a company- or facility-specific program. The individual licensee does not need to use this model training curriculum as written. Instead, this document can be used as a menu for the development, modification, or verification of customized training programs

  18. Model training curriculum for Low-Level Radioactive Waste Disposal Facility Operations

    Energy Technology Data Exchange (ETDEWEB)

    Tyner, C.J.; Birk, S.M.

    1995-09-01

    This document is to assist in the development of the training programs required to be in place for the operating license for a low-level radioactive waste disposal facility. It consists of an introductory document and four additional appendixes of individual training program curricula. This information will provide the starting point for the more detailed facility-specific training programs that will be developed as the facility hires and trains new personnel and begins operation. This document is comprehensive and is intended as a guide for the development of a company- or facility-specific program. The individual licensee does not need to use this model training curriculum as written. Instead, this document can be used as a menu for the development, modification, or verification of customized training programs.

  19. Cost Comparison Model: Blended eLearning versus traditional training of community health workers.

    Science.gov (United States)

    Sissine, Mysha; Segan, Robert; Taylor, Mathew; Jefferson, Bobby; Borrelli, Alice; Koehler, Mohandas; Chelvayohan, Meena

    2014-01-01

    Another one million community healthcare workers are needed to address the growing global population and increasing demand of health care services. This paper describes a cost comparison between two training approaches to better understand costs implications of training community health workers (CHWs) in Sub-Saharan Africa. Our team created a prospective model to forecast and compare the costs of two training methods as described in the Dalburge Report - (1) a traditional didactic training approach ("baseline") and (2) a blended eLearning training approach ("blended"). After running the model for training 100,000 CHWs, we compared the results and scaled up those results to one million CHWs. A substantial difference exists in total costs between the baseline and blended training programs. RESULTS indicate that using a blended eLearning approach for training community health care workers could provide a total cost savings of 42%. Scaling the model to one million CHWs, the blended eLearning training approach reduces total costs by 25%. The blended eLearning savings are a result of decreased classroom time, thereby reducing the costs associated with travel, trainers and classroom costs; and using a tablet with WiFi plus a feature phone rather than a smartphone with data plan. The results of this cost analysis indicate significant savings through using a blended eLearning approach in comparison to a traditional didactic method for CHW training by as much as 67%. These results correspond to the Dalberg publication which indicates that using a blended eLearning approach is an opportunity for closing the gap in training community health care workers.

  20. Modeling and simulation of high-speed passenger train movements in the rail line

    Science.gov (United States)

    Cao, Cheng-Xuan; Xu, Yan; Li, Ke-Ping

    2013-06-01

    In this paper, we propose a new formula of the real-time minimum safety headway based on the relative velocity of consecutive trains and present a dynamic model of high-speed passenger train movements in the rail line based on the proposed formula of the minimum safety headway. Moreover, we provide the control strategies of the high-speed passenger train operations based on the proposed formula of the real-time minimum safety headway and the dynamic model of high-speed passenger train movements. The simulation results demonstrate that the proposed control strategies of the passenger train operations can greatly reduce the delay propagation in the high-speed rail line when a random delay occurs.

  1. Training Module on the Evaluation of Best Modeling Practices

    Science.gov (United States)

    Building upon the fundamental concepts outlined in previous modules, the objectives of this module are to explore the topic of model evaluation and identify the 'best modeling practices' and strategies for the Evaluation Stage of the model life-cycle.

  2. [Expanded vaccination program. Training model for community medicine].

    Science.gov (United States)

    Gateff, C

    1983-01-01

    The expanded programme on immunization (E.P.I.) is a very concrete example of community health programme. In so far, it uses various methods which the medical personnel should be taught a better way: the epidemiological method, health planning, health management. The E.P.I. provides a great deal of actual conditions well-suited to the preparing of either tutorials or self-training modules within various fields such as epidemiological surveys with estimate or evaluation purposes, planning for a prevention strategy, supply management. Aiming at the enlargement to community health and with a much more participative pedagogical spirit, the author points out the importance of making the educators aware of unequalled capabilities of training provided by the E.P.I.

  3. Mission Driven Scene Understanding: Candidate Model Training and Validation

    Science.gov (United States)

    2016-09-01

    CNN was able to determine the correct class labels for images taken from the 2,560 image training data set, the validation process did not appear to...set containing approximately 1.2 million images (Fig. 1). In Section 3, we show that the CNN achieved 79.7% validation accuracy for the top-5 class...to their capability to incorporate different types of CNN architectures, their hardware usage (central processing unit [CPU] and graphical

  4. A Feed-Forward Control Realizing Fast Response for Three-Branch Interleaved DC-DC Converter in DC Microgrid

    Directory of Open Access Journals (Sweden)

    Haojie Wang

    2016-07-01

    Full Text Available It is a common practice for storage batteries to be connected to DC microgrid buses through DC-DC converters for voltage support on islanded operation mode. A feed-forward control based dual-loop constant voltage PI control for three-branch interleaved DC-DC converters (TIDC is proposed for storage batteries in DC microgrids. The working principle of TIDC is analyzed, and the factors influencing the response rate based on the dual-loop constant voltage control for TIDC are discussed, and then the method of feed-forward control for TIDC is studied to improve the response rate for load changing. A prototype of the TIDC is developed and an experimental platform is built. The experiment results show that DC bus voltage sags or swells caused by load changing can be reduced and the time for voltage recovery can be decreased significantly with the proposed feed-forward control.

  5. Gatekeeper Training for Suicide Prevention: A Theoretical Model and Review of the Empirical Literature

    Science.gov (United States)

    2015-01-01

    among exposed teens . Of the exposed group, 2.5 percent reported having made a (first) suicide attempt during the 18 months of follow-up compared...Gatekeeper Training for Suicide Prevention A Theoretical Model and Review of the Empirical Literature Crystal Burnette, Rajeev Ramchand, Lynsay...REPORT TYPE 3. DATES COVERED 00-00-2015 to 00-00-2015 4. TITLE AND SUBTITLE Gatekeeper Training for Suicide Prevention: A Theoretical Model and

  6. A 21st Century Training Model for Flexible, Quick, and Life-Long Workforce Development

    Science.gov (United States)

    2016-02-01

    TRAINING MODEL FOR FLEXIBLE, QUICK, AND LIFE-LONG WORKFORCE DEVELOPMENT DESIGN SPRINT CONDUCTED 31 OCT – 4 NOV 16 Produced with members from...successful approaches is to assemble teams for a concentrated design sprint of, typically, five days or less. The goal of a design sprint is to develop...range of possible answers to the problem. For the 21st Century Training Model for Cyber Design Sprint , CyberWorx brought together 34 participants from

  7. Counteracting Rotor Imbalance in a Bearingless Motor System with Feedforward Control

    Science.gov (United States)

    Kascak, Peter Eugene; Jansen, Ralph H.; Dever, Timothy; Nagorny, Aleksandr; Loparo, Kenneth

    2012-01-01

    In standard motor applications, traditional mechanical bearings represent the most economical approach to rotor suspension. However, in certain high performance applications, rotor suspension without bearing contact is either required or highly beneficial. Such applications include very high speed, extreme environment, or limited maintenance access applications. This paper extends upon a novel bearingless motor concept, in which full five-axis levitation and rotation of the rotor is achieved using two motors with opposing conical air-gaps. By leaving the motors' pole-pairs unconnected, different d-axis flux in each pole-pair is created, generating a flux imbalance which creates lateral force. Note this is approach is different than that used in previous bearingless motors, which use separate windings for levitation and rotation. This paper will examine the use of feedforward control to counteract synchronous whirl caused by rotor imbalance. Experimental results will be presented showing the performance of a prototype bearingless system, which was sized for a high speed flywheel energy storage application, with and without feedforward control.

  8. Performance of active feedforward control systems in non-ideal, synthesized diffuse sound fields.

    Science.gov (United States)

    Misol, Malte; Bloch, Christian; Monner, Hans Peter; Sinapius, Michael

    2014-04-01

    The acoustic performance of passive or active panel structures is usually tested in sound transmission loss facilities. A reverberant sending room, equipped with one or a number of independent sound sources, is used to generate a diffuse sound field excitation which acts as a disturbance source on the structure under investigation. The spatial correlation and coherence of such a synthesized non-ideal diffuse-sound-field excitation, however, might deviate significantly from the ideal case. This has consequences for the operation of an active feedforward control system which heavily relies on the acquisition of coherent disturbance source information. This work, therefore, evaluates the spatial correlation and coherence of ideal and non-ideal diffuse sound fields and considers the implications on the performance of a feedforward control system. The system under consideration is an aircraft-typical double panel system, equipped with an active sidewall panel (lining), which is realized in a transmission loss facility. Experimental results for different numbers of sound sources in the reverberation room are compared to simulation results of a comparable generic double panel system excited by an ideal diffuse sound field. It is shown that the number of statistically independent noise sources acting on the primary structure of the double panel system depends not only on the type of diffuse sound field but also on the sample lengths of the processed signals. The experimental results show that the number of reference sensors required for a defined control performance exhibits an inverse relationship to control filter length.

  9. Local excitation-inhibition ratio for synfire chain propagation in feed-forward neuronal networks

    Science.gov (United States)

    Guo, Xinmeng; Yu, Haitao; Wang, Jiang; Liu, Jing; Cao, Yibin; Deng, Bin

    2017-09-01

    A leading hypothesis holds that spiking activity propagates along neuronal sub-populations which are connected in a feed-forward manner, and the propagation efficiency would be affected by the dynamics of sub-populations. In this paper, how the interaction between local excitation and inhibition effects on synfire chain propagation in feed-forward network (FFN) is investigated. The simulation results show that there is an appropriate excitation-inhibition (EI) ratio maximizing the performance of synfire chain propagation. The optimal EI ratio can significantly enhance the selectivity of FFN to synchronous signals, which thereby increases the stability to background noise. Moreover, the effect of network topology on synfire chain propagation is also investigated. It is found that synfire chain propagation can be maximized by an optimal interlayer linking probability. We also find that external noise is detrimental to synchrony propagation by inducing spiking jitter. The results presented in this paper may provide insights into the effects of network dynamics on neuronal computations.

  10. Visual language recognition with a feed-forward network of spiking neurons

    Energy Technology Data Exchange (ETDEWEB)

    Rasmussen, Craig E [Los Alamos National Laboratory; Garrett, Kenyan [Los Alamos National Laboratory; Sottile, Matthew [GALOIS; Shreyas, Ns [INDIANA UNIV.

    2010-01-01

    An analogy is made and exploited between the recognition of visual objects and language parsing. A subset of regular languages is used to define a one-dimensional 'visual' language, in which the words are translational and scale invariant. This allows an exploration of the viewpoint invariant languages that can be solved by a network of concurrent, hierarchically connected processors. A language family is defined that is hierarchically tiling system recognizable (HREC). As inspired by nature, an algorithm is presented that constructs a cellular automaton that recognizes strings from a language in the HREC family. It is demonstrated how a language recognizer can be implemented from the cellular automaton using a feed-forward network of spiking neurons. This parser recognizes fixed-length strings from the language in parallel and as the computation is pipelined, a new string can be parsed in each new interval of time. The analogy with formal language theory allows inferences to be drawn regarding what class of objects can be recognized by visual cortex operating in purely feed-forward fashion and what class of objects requires a more complicated network architecture.

  11. Force Tracking with Feed-Forward Motion Estimation for Beating Heart Surgery.

    Science.gov (United States)

    Yuen, Shelten G; Perrin, Douglas P; Vasilyev, Nikolay V; Del Nido, Pedro J; Howe, Robert D

    2010-08-16

    The manipulation of fast moving, delicate tissues in beating heart procedures presents a considerable challenge to the surgeon. A robotic force tracking system can assist the surgeon by applying precise contact forces to the beating heart during surgical manipulation. Standard force control approaches cannot safely attain the required bandwidth for this application due to vibratory modes within the robot structure. These vibrations are a limitation even for single degree of freedom systems driving long surgical instruments. These bandwidth limitations can be overcome by incorporating feed-forward motion terms in the control law. For intracardiac procedures, the required motion estimates can be derived from 3D ultrasound imaging. Dynamic analysis shows that a force controller with feed-forward motion terms can provide safe and accurate force tracking for contact with structures within the beating heart. In vivo validation confirms that this approach confers a 50% reduction in force fluctuations when compared to a standard force controller and a 75% reduction in fluctuations when compared to manual attempts to maintain the same force.

  12. Training surgical residents for a career in academic global surgery: a novel training model.

    Science.gov (United States)

    Swain, JaBaris D; Matousek, Alexi C; Scott, John W; Cooper, Zara; Smink, Douglas S; Bolman, Ralph Morton; Finlayson, Samuel R G; Zinner, Michael J; Riviello, Robert

    2015-01-01

    Academic global surgery is a nascent field focused on improving surgical care in resource-poor settings through a broad-based scholarship agenda. Although there is increasing momentum to expand training opportunities in low-resource settings among academic surgical programs, most focus solely on establishing short-term elective rotations rather than fostering research or career development. Given the complex nature of surgical care delivery and programmatic capacity building in the resource-poor settings, many challenges remain before global surgery is accepted as an academic discipline and an established career path. Brigham and Women's Hospital has established a specialized global surgery track within the general surgery residency program to develop academic leaders in this growing area of need and opportunity. Here we describe our experience with the design and development of the program followed by practical applications and lessons learned from our early experiences. Copyright © 2015 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  13. An improved cellular automata model for train operation simulation with dynamic acceleration

    Science.gov (United States)

    Li, Wen-Jun; Nie, Lei

    2018-03-01

    Urban rail transit plays an important role in the urban public traffic because of its advantages of fast speed, large transport capacity, high safety, reliability and low pollution. This study proposes an improved cellular automaton (CA) model by considering the dynamic characteristic of the train acceleration to analyze the energy consumption and train running time. Constructing an effective model for calculating energy consumption to aid train operation improvement is the basis for studying and analyzing energy-saving measures for urban rail transit system operation.

  14. INNOVATIVE MODELS OF EDUCATION AND TRAINING OF SKILLED PERSONNEL FOR HIGH TECH INDUSTRIES IN UKRAINE

    Directory of Open Access Journals (Sweden)

    M.Shyshkina

    2013-03-01

    Full Text Available The problems of development of innovative learning environment of continuous education and training of skilled personnel for high-tech industry are described. Aspects of organization of ICT based learning environment of vocational and technical school on the basis of cloud computing and outsourcing are revealed. The three-stage conceptual model for perspective education and training of workers for high-tech industries is proposed. The model of cloud-based solution for design of learning environment for vocational education and training of skilled workers is introduced.

  15. Feedback y feedforward a través de los foros. experiencia en un curso online de la Universidad de Salamanca / feedback and feedforward through virtual forums: a University of Salamanca online course experience

    Directory of Open Access Journals (Sweden)

    Ana IGLESIAS RODRÍGUEZ

    2012-03-01

    Studium (Moodle Platform-based forum activity not only to conduct online students-teacher consultations but also to create a communicative space conducive to collaborative learning. General considerations on the relevance of forums will be introduced within the context of a richly collaborative community of learning which was built in the particular instance of one of the online training modules offered through Moodle as a Virtual Learning Environment. These initial notes will act as a framework for a more detailed description of the aims and development of this particular course. Finally, further suggestions will be made on the potential of forums as tools which enable participants to exchange their own reflections, findings and contributions and thus to engender mutually enriching collaborative learning. This will be enhanced through a double process that will include both a retrospective revision and assessment of the learning performance (feedback and the search for a range of possible solutions to the detected difficulties. Thus, defining the prognosis or the course of actions for improved practice will prove as relevant in succeeding to achieve the learning objectives (feedforward as the previous diagnosis itself.

  16. INTELLECTUAL MODEL FORMATION OF RAILWAY STATION WORK DURING THE TRAIN OPERATION EXECUTION

    Directory of Open Access Journals (Sweden)

    O. V. Lavrukhin

    2014-11-01

    Full Text Available Purpose. The aim of this research work is to develop an intelligent technology for determination of the optimal route of freight trains administration on the basis of the technical and technological parameters. This will allow receiving the operational informed decisions by the station duty officer regarding to the train operation execution within the railway station. Metodology. The main elements of the research are the technical and technological parameters of the train station during the train operation. The methods of neural networks in order to form the self-teaching automated system were put in the basis of the generated model of train operation execution. Findings. The presented model of train operation execution at the railway station is realized on the basis of artificial neural networks using learning algorithm with a «teacher» in Matlab environment. The Matlab is also used for the immediate implementation of the intelligent automated control system of the train operation designed for the integration into the automated workplace of the duty station officer. The developed system is also useful to integrate on workplace of the traffic controller. This proposal is viable in case of the availability of centralized traffic control on the separate section of railway track. Originality. The model of train station operation during the train operation execution with elements of artificial intelligence was formed. It allows providing informed decisions to the station duty officer concerning a choice of rational and a safe option of reception and non-stop run of the trains with the ability of self-learning and adaptation to changing conditions. This condition is achieved by the principles of the neural network functioning. Practical value. The model of the intelligent system management of the process control for determining the optimal route receptionfor different categories of trains was formed.In the operational mode it offers the possibility

  17. Wages, Training, and Job Turnover in a Search-Matching Model

    DEFF Research Database (Denmark)

    Rosholm, Michael; Nielsen, Michael Svarer

    1999-01-01

    In this paper we extend a job search-matching model with firm-specific investments in training developed by Mortensen (1998) to allow for different offer arrival rates in employment and unemployment. The model by Mortensen changes the original wage posting model (Burdett and Mortensen, 1998) in two...

  18. Modelling of optimal training load patterns during the 11 weeks preceding major competition in elite swimmers.

    Science.gov (United States)

    Hellard, Philippe; Scordia, Charlotte; Avalos, Marta; Mujika, Inigo; Pyne, David B

    2017-10-01

    Periodization of swim training in the final training phases prior to competition and its effect on performance have been poorly described. We modeled the relationships between the final 11 weeks of training and competition performance in 138 elite sprint, middle-distance, and long-distance swimmers over 20 competitive seasons. Total training load (TTL), strength training (ST), and low- to medium-intensity and high-intensity training variables were monitored. Training loads were scaled as a percentage of the maximal volume measured at each intensity level. Four training periods (meso-cycles) were defined: the taper (weeks 1 to 2 before competition), short-term (weeks 3 to 5), medium-term (weeks 6 to 8), and long-term (weeks 9 to 11). Mixed-effects models were used to analyze the association between training loads in each training meso-cycle and end-of-season major competition performance. For sprinters, a 10% increase between ∼20% and 70% of the TTL in medium- and long-term meso-cycles was associated with 0.07 s and 0.20 s faster performance in the 50 m and 100 m events, respectively (p < 0.01). For middle-distance swimmers, a higher TTL in short-, medium-, and long-term training yielded faster competition performance (e.g., a 10% increase in TTL was associated with improvements of 0.1-1.0 s in 200 m events and 0.3-1.6 s in 400 m freestyle, p < 0.01). For sprinters, a 60%-70% maximal ST load 6-8 weeks before competition induced the largest positive effects on performance (p < 0.01). An increase in TTL during the medium- and long-term preparation (6-11 weeks to competition) was associated with improved performance. Periodization plans should be adapted to the specialty of swimmers.

  19. Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training.

    Science.gov (United States)

    Saggar, Manish; Zanesco, Anthony P; King, Brandon G; Bridwell, David A; MacLean, Katherine A; Aichele, Stephen R; Jacobs, Tonya L; Wallace, B Alan; Saron, Clifford D; Miikkulainen, Risto

    2015-07-01

    Meditation training has been shown to enhance attention and improve emotion regulation. However, the brain processes associated with such training are poorly understood and a computational modeling framework is lacking. Modeling approaches that can realistically simulate neurophysiological data while conforming to basic anatomical and physiological constraints can provide a unique opportunity to generate concrete and testable hypotheses about the mechanisms supporting complex cognitive tasks such as meditation. Here we applied the mean-field computational modeling approach using the scalp-recorded electroencephalogram (EEG) collected at three assessment points from meditating participants during two separate 3-month-long shamatha meditation retreats. We modeled cortical, corticothalamic, and intrathalamic interactions to generate a simulation of EEG signals recorded across the scalp. We also present two novel extensions to the mean-field approach that allow for: (a) non-parametric analysis of changes in model parameter values across all channels and assessments; and (b) examination of variation in modeled thalamic reticular nucleus (TRN) connectivity over the retreat period. After successfully fitting whole-brain EEG data across three assessment points within each retreat, two model parameters were found to replicably change across both meditation retreats. First, after training, we observed an increased temporal delay between modeled cortical and thalamic cells. This increase provides a putative neural mechanism for a previously observed reduction in individual alpha frequency in these same participants. Second, we found decreased inhibitory connection strength between the TRN and secondary relay nuclei (SRN) of the modeled thalamus after training. This reduction in inhibitory strength was found to be associated with increased dynamical stability of the model. Altogether, this paper presents the first computational approach, taking core aspects of physiology and

  20. Evaluation of simulation-based training for aircraft carrier marshalling with learning cubic and Kirkpatrick’s models

    Directory of Open Access Journals (Sweden)

    Yongliang Tian

    2015-02-01

    Full Text Available Simulation-based training is a promising way to train a carrier flight deck crew because of the complex and dangerous working environment. Quantitative evaluation of simulation-based training quality is vital to make simulation-based training practical for aircraft carrier marshalling. This paper develops a personal computer-based aircraft carrier marshalling simulation system and a cave automatic virtual environment (CAVE-based immersive environment. In order to compare the training effectiveness of simulation-based training and paper-based training, a learning cubic model is proposed and a contrast experiment is carried out as well. The experimental data is analyzed based on a simplified Kirkpatrick’s model. The results show that simulation-based training is better than paper-based training by 26.80% after three rounds of testing, which prove the effectiveness of simulation-based aircraft carrier marshalling training.

  1. Development of a Base Model for the New Fire PSA Training

    International Nuclear Information System (INIS)

    Kim, Kilyoo; Kang, Daeil; Kim, Wee Kyong; Do, Kyu Sik

    2013-01-01

    US NRC/EPRI issued a new fire PSA method represented by NUREG/CR 6850, and have been training many operators and inspectors to widely spread the new method. However, there is a limitation in time and efficiency for many foreigners, who generally have communication problem, to participate in the EPRI/NRC training to learn the new method. Since it is about time to introduce the new fire PSA method as a regulatory requirement for the fire protection in Korea, a simple and easy-understandable base model for the fire PSA training is required, and KAERI-KINS is jointly preparing the base model for the new fire PSA training. This paper describes how the base model is developed. Using an imaginary simple NPP, a base model of fire PSA following the new fire PSA method was developed in two ways from the internal PSA model. Since we have the base model and know the process of making the fire PSA model, the training for the new fire PSA method can be in detail performed in Korea

  2. Realistic Creativity Training for Innovation Practitioners: The Know-Recognize-React Model

    DEFF Research Database (Denmark)

    Valgeirsdóttir, Dagný; Onarheim, Balder

    2017-01-01

    As creativity becomes increasingly recognized as important raw material for innovation, the importance of identifying ways to increase practitioners’ creativity through rigorously designed creativity training programs is highlighted. Therefore we sat out to design a creativity training program sp...... the transdisciplinary study described in this paper. Co-creation was employed as a method to ensure the three layers of focus would be taken into consideration. The result is a program called Creative Awareness Training which is based on the new Know-Recognize-React model.......As creativity becomes increasingly recognized as important raw material for innovation, the importance of identifying ways to increase practitioners’ creativity through rigorously designed creativity training programs is highlighted. Therefore we sat out to design a creativity training program...

  3. A biologically inspired neural model for visual and proprioceptive integration including sensory training.

    Science.gov (United States)

    Saidi, Maryam; Towhidkhah, Farzad; Gharibzadeh, Shahriar; Lari, Abdolaziz Azizi

    2013-12-01

    Humans perceive the surrounding world by integration of information through different sensory modalities. Earlier models of multisensory integration rely mainly on traditional Bayesian and causal Bayesian inferences for single causal (source) and two causal (for two senses such as visual and auditory systems), respectively. In this paper a new recurrent neural model is presented for integration of visual and proprioceptive information. This model is based on population coding which is able to mimic multisensory integration of neural centers in the human brain. The simulation results agree with those achieved by casual Bayesian inference. The model can also simulate the sensory training process of visual and proprioceptive information in human. Training process in multisensory integration is a point with less attention in the literature before. The effect of proprioceptive training on multisensory perception was investigated through a set of experiments in our previous study. The current study, evaluates the effect of both modalities, i.e., visual and proprioceptive training and compares them with each other through a set of new experiments. In these experiments, the subject was asked to move his/her hand in a circle and estimate its position. The experiments were performed on eight subjects with proprioception training and eight subjects with visual training. Results of the experiments show three important points: (1) visual learning rate is significantly more than that of proprioception; (2) means of visual and proprioceptive errors are decreased by training but statistical analysis shows that this decrement is significant for proprioceptive error and non-significant for visual error, and (3) visual errors in training phase even in the beginning of it, is much less than errors of the main test stage because in the main test, the subject has to focus on two senses. The results of the experiments in this paper is in agreement with the results of the neural model

  4. Integrating Soft Set Theory and Fuzzy Linguistic Model to Evaluate the Performance of Training Simulation Systems.

    Science.gov (United States)

    Chang, Kuei-Hu; Chang, Yung-Chia; Chain, Kai; Chung, Hsiang-Yu

    2016-01-01

    The advancement of high technologies and the arrival of the information age have caused changes to the modern warfare. The military forces of many countries have replaced partially real training drills with training simulation systems to achieve combat readiness. However, considerable types of training simulation systems are used in military settings. In addition, differences in system set up time, functions, the environment, and the competency of system operators, as well as incomplete information have made it difficult to evaluate the performance of training simulation systems. To address the aforementioned problems, this study integrated analytic hierarchy process, soft set theory, and the fuzzy linguistic representation model to evaluate the performance of various training simulation systems. Furthermore, importance-performance analysis was adopted to examine the influence of saving costs and training safety of training simulation systems. The findings of this study are expected to facilitate applying military training simulation systems, avoiding wasting of resources (e.g., low utility and idle time), and providing data for subsequent applications and analysis. To verify the method proposed in this study, the numerical examples of the performance evaluation of training simulation systems were adopted and compared with the numerical results of an AHP and a novel AHP-based ranking technique. The results verified that not only could expert-provided questionnaire information be fully considered to lower the repetition rate of performance ranking, but a two-dimensional graph could also be used to help administrators allocate limited resources, thereby enhancing the investment benefits and training effectiveness of a training simulation system.

  5. Immune responses to inflammation and trauma: a physical training model.

    Science.gov (United States)

    Shephard, R J; Shek, P N

    1998-05-01

    Physical activity and training have some potential as tools for examining immune responses to inflammation and trauma. Contributors to the present symposium review various aspects of the inflammatory process, including issues of lymphocyte recirculation and endotoxemia. They examine also the extent and nature of the immune disturbances induced by acute and chronic exercise and consider parallels between such responses and cellular manifestations of clinical sepsis. Factors modulating immune responses during physical activity include changes in the circulating levels of various cytokines, alterations in nutritional status, an altered expression of adhesion molecules, and the possible intervention of reactive species. Factors that can exacerbate exercise-induced changes include exposure to adverse environments, particularly hot conditions, and disturbances of the normal sleep-wakefulness cycle. Current research in exercise immunology finds clinical application in attempts to regulate aging, acute viral infections, and neoplasia.

  6. Model characteristics of the structure physical training fighters qualifications

    Directory of Open Access Journals (Sweden)

    Pryimakov O.O.

    2013-06-01

    Full Text Available Studied the structure of the relationship of physical fitness level fighters with physical disabilities and special performance. It is studied 147 athletes Ukraine qualifications in Greco-Roman and freestyle wrestling, judo. Applied the methods of anthropometry kaliperometrii, teacher testing, testing of a special performance. It is shown that the qualification defines the relationship and the relationship of morphometric and speed-power performance, the level of special performance athletes. With the advanced training of fighters increased level of speed, force readiness, increase the size Spigot neck, hips, chest, shoulders, reduced the percentage of fat component, increases muscular component, the index increased muscle development. Morphometric parameters with the most skilled fighters and cross-linked Spigot size of the body of the speed and power - explosive power, strength and speed-strength endurance, speed.

  7. Functional and muscular adaptations in an experimental model for isometric strength training in mice.

    Directory of Open Access Journals (Sweden)

    Karsten Krüger

    Full Text Available Exercise training induces muscular adaptations that are highly specific to the type of exercise. For a systematic study of the differentiated exercise adaptations on a molecular level mouse models have been used successfully. The aim of the current study was to develop a suitable mouse model of isometric strength exercise training characterized by specific adaptations known from strength training. C57BL/6 mice performed an isometric strength training (ST for 10 weeks 5 days/week. Additionally, either a sedentary control group (CT or a regular endurance training group (ET groups were used as controls. Performance capacity was determined by maximum holding time (MHT and treadmill spirometry, respectively. Furthermore, muscle fiber types and diameter, muscular concentration of phosphofructokinase 1 (PFK, succinate dehydrogenase (SDHa, and glucose transporter type 4 (GLUT4 were determined. In a further approach, the effect of ST on glucose intolerance was tested in diabetic mice. In mice of the ST group we observed an increase of MHT in isometric strength tests, a type II fiber hypertrophy, and an increased GLUT4 protein content in the membrane fraction. In contrast, in mice of the ET group an increase of VO(2max, a shift to oxidative muscle fiber type and an increase of oxidative enzyme content was measured. Furthermore strength training was effective in reducing glucose intolerance in mice fed a high fat diet. An effective murine strength training model was developed and evaluated, which revealed marked differences in adaptations known from endurance training. This approach seems also suitable to test for therapeutical effects of strength training.

  8. Training Systems Modelers through the Development of a Multi-scale Chagas Disease Risk Model

    Science.gov (United States)

    Hanley, J.; Stevens-Goodnight, S.; Kulkarni, S.; Bustamante, D.; Fytilis, N.; Goff, P.; Monroy, C.; Morrissey, L. A.; Orantes, L.; Stevens, L.; Dorn, P.; Lucero, D.; Rios, J.; Rizzo, D. M.

    2012-12-01

    The goal of our NSF-sponsored Division of Behavioral and Cognitive Sciences grant is to create a multidisciplinary approach to develop spatially explicit models of vector-borne disease risk using Chagas disease as our model. Chagas disease is a parasitic disease endemic to Latin America that afflicts an estimated 10 million people. The causative agent (Trypanosoma cruzi) is most commonly transmitted to humans by blood feeding triatomine insect vectors. Our objectives are: (1) advance knowledge on the multiple interacting factors affecting the transmission of Chagas disease, and (2) provide next generation genomic and spatial analysis tools applicable to the study of other vector-borne diseases worldwide. This funding is a collaborative effort between the RSENR (UVM), the School of Engineering (UVM), the Department of Biology (UVM), the Department of Biological Sciences (Loyola (New Orleans)) and the Laboratory of Applied Entomology and Parasitology (Universidad de San Carlos). Throughout this five-year study, multi-educational groups (i.e., high school, undergraduate, graduate, and postdoctoral) will be trained in systems modeling. This systems approach challenges students to incorporate environmental, social, and economic as well as technical aspects and enables modelers to simulate and visualize topics that would either be too expensive, complex or difficult to study directly (Yasar and Landau 2003). We launch this research by developing a set of multi-scale, epidemiological models of Chagas disease risk using STELLA® software v.9.1.3 (isee systems, inc., Lebanon, NH). We use this particular system dynamics software as a starting point because of its simple graphical user interface (e.g., behavior-over-time graphs, stock/flow diagrams, and causal loops). To date, high school and undergraduate students have created a set of multi-scale (i.e., homestead, village, and regional) disease models. Modeling the system at multiple spatial scales forces recognition that

  9. TWO-STEP ALGORITHM OF TRAINING INITIALIZATION FOR ACOUSTIC MODELS BASED ON DEEP NEURAL NETWORKS

    Directory of Open Access Journals (Sweden)

    I. P. Medennikov

    2016-03-01

    Full Text Available This paper presents a two-step initialization algorithm for training of acoustic models based on deep neural networks. The algorithm is focused on reducing the impact of the non-speech segments on the acoustic model training. The idea of the proposed algorithm is to reduce the percentage of non-speech examples in the training set. Effectiveness evaluation of the algorithm has been carried out on the example of English spontaneous telephone speech recognition (Switchboard. The application of the proposed algorithm has led to 3% relative word error rate reduction, compared with the training initialization by restricted Boltzmann machines. The results presented in the paper can be applied in the development of automatic speech recognition systems.

  10. Realistic Creativity Training for Innovation Practitioners: The Know-Recognize-React Model

    DEFF Research Database (Denmark)

    Valgeirsdóttir, Dagný; Onarheim, Balder

    2017-01-01

    As creativity becomes increasingly recognized as important raw material for innovation, the importance of identifying ways to increase practitioners’ creativity through rigorously designed creativity training programs is highlighted. Therefore we sat out to design a creativity training program...... the transdisciplinary study described in this paper. Co-creation was employed as a method to ensure the three layers of focus would be taken into consideration. The result is a program called Creative Awareness Training which is based on the new Know-Recognize-React model....

  11. The Train Driver Recovery Problem - a Set Partitioning Based Model and Solution Method

    DEFF Research Database (Denmark)

    Rezanova, Natalia Jurjevna; Ryan, David

    2010-01-01

    The need to recover a train driver schedule occurs during major disruptions in the daily railway operations. Based on data from the Danish passenger railway operator DSB S-tog A/S, a solution method to the train driver recovery problem (TDRP) is developed. The TDRP is formulated as a set...... partitioning problem. We define a disruption neighbourhood by identifying a small set of drivers and train tasks directly affected by the disruption. Based on the disruption neighbourhood, the TDRP model is formed and solved. If the TDRP solution provides a feasible recovery for the drivers within...

  12. Applying Training System Estimation Models to Army Training. Volume 2. An Annotated Bibliography 1970-1990

    Science.gov (United States)

    1994-05-01

    associated with the Educational Technology Assessment Model ( ETAM ). It contains relevant background information and results of prior studies leading to...the finalized ETAM procedures and computerized routines. A comparison of the manual and automated approach is included, and data base structures and... ETAM program flow are described. The second volume (see PA, Vol 59:11358) contains the 344-page appendix. 039Duffy, L.R., Miller, R.B., & Staley, J.D

  13. On the use of harmony search algorithm in the training of wavelet neural networks

    Science.gov (United States)

    Lai, Kee Huong; Zainuddin, Zarita; Ong, Pauline

    2015-10-01

    Wavelet neural networks (WNNs) are a class of feedforward neural networks that have been used in a wide range of industrial and engineering applications to model the complex relationships between the given inputs and outputs. The training of WNNs involves the configuration of the weight values between neurons. The backpropagation training algorithm, which is a gradient-descent method, can be used for this training purpose. Nonetheless, the solutions found by this algorithm often get trapped at local minima. In this paper, a harmony search-based algorithm is proposed for the training of WNNs. The training of WNNs, thus can be formulated as a continuous optimization problem, where the objective is to maximize the overall classification accuracy. Each candidate solution proposed by the harmony search algorithm represents a specific WNN architecture. In order to speed up the training process, the solution space is divided into disjoint partitions during the random initialization step of harmony search algorithm. The proposed training algorithm is tested onthree benchmark problems from the UCI machine learning repository, as well as one real life application, namely, the classification of electroencephalography signals in the task of epileptic seizure detection. The results obtained show that the proposed algorithm outperforms the traditional harmony search algorithm in terms of overall classification accuracy.

  14. THE EFFECTS OF INQUIRY LEARNING MODEL TRAINING AND CRITICAL THINKING TOWARDS SMA STUDENT LEARNING OUTCOMES

    Directory of Open Access Journals (Sweden)

    Ella Lady Saura

    2014-12-01

    Full Text Available The purposes of the research are: (1 To determine differences in learning outcomes of students with Inquiry Training models and Direct Instruction teaching models, (2 to determine differences in physics learning outcomes of students who have high critical thinking and low critical thinking, (3 to determine the interaction between learning models with the level of critical thinking in improving student Physics learning outcomes. The sample in this study conducted in a cluster random sampling of two classes, where the first class as a class experiment applied Inquiry Training models as a class and the second class of controls implemented Direct Instruction models. The instrument is used in this study is physics learning outcomes tests in narrative form as many as 7 questions and critical thinking test in narrative form as 7 questions that have been declared valid and reliable. The results were found: (1 there are differences in physical students learning outcomes are taught by Inquiry Training models and Direct Instruction teaching models. Learning outcomes of students who are taught by Inquiry Learning Model Training better than student learning outcomes are taught with Direct Instruction Model Learning. (2 There is a difference in student's learning outcomes that have high critical thinking and low critical thinking. Student learning outcomes that have a high critical thinking better than student learning outcomes that have a low critical thinking. (3 There is interaction between learning and mastery of material Model Physics prerequisite to student learning outcomes. Learning outcomes of students who are taught by the model is influenced also by the Inquiry Training critical thinking, while learning outcomes of students who are taught with Direct Instruction models are not affected by the students' critical thinking.

  15. Does rational selection of training and test sets improve the outcome of QSAR modeling?

    Science.gov (United States)

    Martin, Todd M; Harten, Paul; Young, Douglas M; Muratov, Eugene N; Golbraikh, Alexander; Zhu, Hao; Tropsha, Alexander

    2012-10-22

    Prior to using a quantitative structure activity relationship (QSAR) model for external predictions, its predictive power should be established and validated. In the absence of a true external data set, the best way to validate the predictive ability of a model is to perform its statistical external validation. In statistical external validation, the overall data set is divided into training and test sets. Commonly, this splitting is performed using random division. Rational splitting methods can divide data sets into training and test sets in an intelligent fashion. The purpose of this study was to determine whether rational division methods lead to more predictive models compared to random division. A special data splitting procedure was used to facilitate the comparison between random and rational division methods. For each toxicity end point, the overall data set was divided into a modeling set (80% of the overall set) and an external evaluation set (20% of the overall set) using random division. The modeling set was then subdivided into a training set (80% of the modeling set) and a test set (20% of the modeling set) using rational division methods and by using random division. The Kennard-Stone, minimal test set dissimilarity, and sphere exclusion algorithms were used as the rational division methods. The hierarchical clustering, random forest, and k-nearest neighbor (kNN) methods were used to develop QSAR models based on the training sets. For kNN QSAR, multiple training and test sets were generated, and multiple QSAR models were built. The results of this study indicate that models based on rational division methods generate better statistical results for the test sets than models based on random division, but the predictive power of both types of models are comparable.

  16. Hand-assisted laparoscopic sigmoid colectomy skills acquisition: augmented reality simulator versus human cadaver training models.

    Science.gov (United States)

    Leblanc, Fabien; Senagore, Anthony J; Ellis, Clyde N; Champagne, Bradley J; Augestad, Knut M; Neary, Paul C; Delaney, Conor P

    2010-01-01

    The aim of this study was to compare a simulator with the human cadaver model for hand-assisted laparoscopic colorectal skills acquisition training. An observational prospective comparative study was conducted to compare the laparoscopic surgery training models. The study took place during the laparoscopic colectomy training course performed at the annual scientific meeting of the American Society of Colon and Rectal Surgeons. Thirty four practicing surgeons performed hand-assisted laparoscopic sigmoid colectomy on human cadavers (n = 7) and on an augmented reality simulator (n = 27). Prior laparoscopic colorectal experience was assessed. Trainers and trainees completed independently objective structured assessment forms. Training models were compared by trainees' technical skills scores, events scores, and satisfaction. Prior laparoscopic experience was similar in both surgeon groups. Generic and specific skills scores were similar on both training models. Generic events scores were significantly better on the cadaver model. The 2 most frequent generic events occurring on the simulator were poor hand-eye coordination and inefficient use of retraction. Specific events were scored better on the simulator and reached the significance limit (p = 0.051) for trainers. The specific events occurring on the cadaver were intestinal perforation and left ureter identification difficulties. Overall satisfaction was better for the cadaver than for the simulator model (p = 0.009). With regard to skills scores, the augmented reality simulator had adequate qualities for the hand-assisted laparoscopic colectomy training. Nevertheless, events scores highlighted weaknesses of the anatomical replication on the simulator. Although improvements likely will be required to incorporate the simulator more routinely into the colorectal training, it may be useful in its current form for more junior trainees or those early on their learning curve. Copyright 2010 Association of Program

  17. A tissue phantom model for training residents in ultrasound-guided liver biopsy.

    Science.gov (United States)

    Sekhar, Aarti; Sun, Maryellen R; Siewert, Bettina

    2014-07-01

    The apprenticeship model for training of percutaneous liver biopsy has limitations, and costs of commercially available simulation models can be prohibitive. We created an inexpensive tissue phantom for liver biopsy simulation and evaluated the utility of this model for training radiology residents. A bovine-porcine tissue phantom was devised as a simulation model and consisted of bovine liver with a porcine rib layer and inserted pimento olives simulating target lesions. Training sessions (a 20-minute didactic lecture and a 90-minute practice session) were offered to all residents in a diagnostic radiology residency. Effect of training was assessed by questionnaire before and after training. Level of knowledge of topics covered in the didactic session, confidence in technical skills, and anxiety level were evaluated on a five-point scale (1, poor to 5, excellent). Thirty-five of 38 residents received training on the models (~$40). Mean reported value score for training was 4.88/5. Improvement was greatest for knowledge of technique (2.3-4.1/5, P Technical confidence increased (2.4-3.8/5, P < .001) and anxiety related to performing liver biopsy improved (2.7-3.7/5, P < .001). Residents with no prior experience in liver biopsy (n = 21) had significantly greater increases in all categories than residents with prior experience (n = 14), except for knowledge about obtaining informed consent and anxiety levels. Utilization of an inexpensively created bovine/porcine liver biopsy simulation model was well perceived by radiology residents and can be used as an educational tool during residency. Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

  18. Finite Element Model of Training in the superconducting quadrupole magnet SQ02

    Energy Technology Data Exchange (ETDEWEB)

    Caspi, Shlomo; Ferracin, Paolo

    2007-11-01

    This paper describes the use of 3D finite element models to study training in superconducting magnets. The simulations are used to examine coil displacements when the electromagnetic forces are cycled, and compute the frictional energy released during conductor motion with the resulting temperature rise. A computed training curve is then presented and discussed. The results from the numerical computations are compared with test results of the Nb{sub 3}Sn racetrack quadrupole magnet SQ02.

  19. Aspects of intelligent electronic device based switchgear control training model application

    Science.gov (United States)

    Bogdanov, Dimitar; Popov, Ivaylo

    2018-02-01

    The design of the protection and control equipment for electrical power sector application was object of extensive advance in the last several decades. The modern technologies offer a wide range of multifunctional flexible applications, making the protection and control of facilities more sophisticated. In the same time, the advance of technology imposes the necessity of simulators, training models and tutorial laboratory equipment to be used for adequate training of students and field specialists

  20. Outreach training model for accredited colorectal specialists in laparoscopic colorectal surgery: feasibility and evaluation of challenges.

    Science.gov (United States)

    Hamdan, M F; Day, A; Millar, J; Carter, F J C; Coleman, M G; Francis, N K

    2015-07-01

    The aim of this study was to explore the feasibility and safety of an outreach model of laparoscopic colorectal training of accredited specialists in advanced laparoscopic techniques and to explore the challenges of this model from the perspective of a National Training Programme (NTP) trainer. Prospective data were collected for unselected laparoscopic colorectal training procedures performed by five laparoscopic colorectal NTP trainees supervised by a single NTP trainer with an outreach model between 2009 and 2012. The operative and postoperative outcomes were compared with standard laparoscopic colorectal training procedures performed by six senior colorectal trainees under the supervision of the same NTP trainer within the same study period. The primary outcome was 30-day mortality. The Mann-Whitney test was used to compare continuous variables and the Chi squared or Fisher's exact tests were applied for the analysis of categorical variables. The level of statistical significance was set at P groups. Seventy-eight per cent of the patients operated on by the NTP trainees had had no previous abdominal surgery, compared with 50% in the supervised trainees' group (P = 0.0005). There were no significant differences in 30-day mortality or the operative and postoperative outcome between both groups. There were, however, difficulties in training an already established consultant in his or her own hospital and these were overcome by certain adjustments to the programme. Outreach laparoscopic training of colorectal surgeons is a feasible and safe model of training accredited specialists and does not compromise patient care. The challenges encountered can be overcome with optimum training and preparation. Colorectal Disease © 2015 The Association of Coloproctology of Great Britain and Ireland.

  1. Train Headway Models and Carrying Capacity of Super-Speed Maglev System

    Science.gov (United States)

    He, Shiwei; Song, Rui; Eastham, Tony

    Train headway models are established by analyzing the operation of the Transrapid Super-speed Maglev System (TSMS). The variation in the minimum allowable headway for trains of different speeds and consists is studied under various operational constraints. A potential Beijing-Shanghai Maglev line is used as an illustration to undertake capacity analyses with the model and methods. The example shows that the headway models for analyzing the carrying capacity of Maglev systems are very useful for the configurational design of this new transport system.

  2. A manpower training requirements model for new weapons systems, with applications to the infantry fighting vehicle

    OpenAIRE

    Kenehan, Douglas J.

    1981-01-01

    Approved for public release; distribution is unlimited This thesis documents the methodology and parameters used in designing a manpower training requirements model for new weapons systems. This model provides manpower planners with the capability of testing alternative fielding policies and adjusting model parameters to improve the use of limited personnel resources. Use of the model is illustrated in a detailed analysis of the planned introduction of the Infantry Fighting Vehicle into t...

  3. A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA

    OpenAIRE

    Nazemi, Mahdi; Eshratifar, Amir Erfan; Pedram, Massoud

    2018-01-01

    With ever-increasing application of machine learning models in various domains such as image classification, speech recognition and synthesis, and health care, designing efficient hardware for these models has gained a lot of popularity. While the majority of researches in this area focus on efficient deployment of machine learning models (a.k.a inference), this work concentrates on challenges of training these models in hardware. In particular, this paper presents a high-performance, scalabl...

  4. Teaching through Entry Test & Summarization - An Effective Classroom Teaching Model in Higher Education Training

    OpenAIRE

    Aithal P. S.

    2015-01-01

    Systematic teaching through long-time tested model will certainly improve the effectiveness of teaching-learning process in higher education. Teaching through Entry Test & Summarization is an effective model named 'Aithal model of effective classroom teaching' in Higher Education Training developed by Prof. Aithal combines both positive and negative motivation and integrated into a best practice. According to this model each class of one hour duration starts with silent prayer for one minute ...

  5. A Feed-Forward Control Realizing Fast Response for Three-Branch Interleaved DC-DC Converter in DC Microgrid

    DEFF Research Database (Denmark)

    Wang, Haojie; Han, Minxiao; Yan, Wenli

    2016-01-01

    for storage batteries in DC microgrids. The working principle of TIDC is analyzed, and the factors influencing the response rate based on the dual-loop constant voltage control for TIDC are discussed, and then the method of feed-forward control for TIDC is studied to improve the response rate for load...

  6. Sub-Shot-Noise Transmission Measurement Enabled by Active Feed-Forward of Heralded Single Photons

    Science.gov (United States)

    Sabines-Chesterking, J.; Whittaker, R.; Joshi, S. K.; Birchall, P. M.; Moreau, P. A.; McMillan, A.; Cable, H. V.; O'Brien, J. L.; Rarity, J. G.; Matthews, J. C. F.

    2017-07-01

    Harnessing the unique properties of quantum mechanics offers the possibility of delivering alternative technologies that can fundamentally outperform their classical counterparts. These technologies deliver advantages only when components operate with performance beyond specific thresholds. For optical quantum metrology, the biggest challenge that impacts on performance thresholds is optical loss. Here, we demonstrate how including an optical delay and an optical switch in a feed-forward configuration with a stable and efficient correlated photon-pair source reduces the detector efficiency required to enable quantum-enhanced sensing down to the detection level of single photons and without postselection. When the switch is active, we observe a factor of improvement in precision of 1.27 for transmission measurement on a per-input-photon basis compared to the performance of a laser emitting an ideal coherent state and measured with the same detection efficiency as our setup. When the switch is inoperative, we observe no quantum advantage.

  7. Increasing Fuel Efficiency of Direct Methanol Fuel Cell Systems with Feedforward Control of the Operating Concentration

    Directory of Open Access Journals (Sweden)

    Youngseung Na

    2015-09-01

    Full Text Available Most of the R&D on fuel cells for portable applications concentrates on increasing efficiencies and energy densities to compete with other energy storage devices, especially batteries. To improve the efficiency of direct methanol fuel cell (DMFC systems, several modifications to system layouts and operating strategies are considered in this paper, rather than modifications to the fuel cell itself. Two modified DMFC systems are presented, one with an additional inline mixer and a further modification of it with a separate tank to recover condensed water. The set point for methanol concentration control in the solution is determined by fuel efficiency and varies with the current and other process variables. Feedforward concentration control enables variable concentration for dynamic loads. Simulation results were validated experimentally with fuel cell systems.

  8. The estimation of neurotransmitter release probability in feedforward neuronal network based on adaptive synchronization.

    Science.gov (United States)

    Xue, Ming; Wang, Jiang; Jia, Chenhui; Yu, Haitao; Deng, Bin; Wei, Xile; Che, Yanqiu

    2013-03-01

    In this paper, we proposed a new approach to estimate unknown parameters and topology of a neuronal network based on the adaptive synchronization control scheme. A virtual neuronal network is constructed as an observer to track the membrane potential of the corresponding neurons in the original network. When they achieve synchronization, the unknown parameters and topology of the original network are obtained. The method is applied to estimate the real-time status of the connection in the feedforward network and the neurotransmitter release probability of unreliable synapses is obtained by statistic computation. Numerical simulations are also performed to demonstrate the effectiveness of the proposed adaptive controller. The obtained results may have important implications in system identification in neural science.

  9. Operating wind turbines in strong wind conditions by using feedforward-feedback control

    International Nuclear Information System (INIS)

    Feng, Ju; Sheng, Wen Zhong

    2014-01-01

    Due to the increasing penetration of wind energy into power systems, it becomes critical to reduce the impact of wind energy on the stability and reliability of the overall power system. In precedent works, Shen and his co-workers developed a re-designed operation schema to run wind turbines in strong wind conditions based on optimization method and standard PI feedback control, which can prevent the typical shutdowns of wind turbines when reaching the cut-out wind speed. In this paper, a new control strategy combing the standard PI feedback control with feedforward controls using the optimization results is investigated for the operation of variable-speed pitch-regulated wind turbines in strong wind conditions. It is shown that the developed control strategy is capable of smoothening the power output of wind turbine and avoiding its sudden showdown at high wind speeds without worsening the loads on rotor and blades

  10. Increasing LIGO sensitivity by feedforward subtraction of auxiliary length control noise

    International Nuclear Information System (INIS)

    Meadors, Grant David; Riles, Keith; Kawabe, Keita

    2014-01-01

    LIGO, the Laser Interferometer Gravitational-wave Observatory, has been designed and constructed to measure gravitational wave strain via differential arm length. The LIGO 4 km Michelson arms with Fabry–Perot cavities have auxiliary length control servos for suppressing Michelson motion of the beam-splitter and arm cavity input mirrors, which degrades interferometer sensitivity. We demonstrate how a post facto pipeline improves a data sample from LIGO Science Run 6 with feedforward subtraction. Dividing data into 1024 s windows, we numerically fit filter functions representing the frequency-domain transfer functions from Michelson length channels into the gravitational-wave strain data channel for each window, then subtract the filtered Michelson channel noise (witness) from the strain channel (target). In this paper we describe the algorithm, assess achievable improvements in sensitivity to astrophysical sources, and consider relevance to future interferometry. (paper)

  11. [Design and validation of a training model on paediatric and neonatal surgery].

    Science.gov (United States)

    Pérez-Duarte, F J; Díaz-Güemes, I; Sánchez-Hurtado, M A; Cano Novillo, I; Berchi García, F J; García Vázquez, A; Sánchez-Margallo, F M

    2012-07-01

    We present our experience in the design and development of a training program in paediatric and neonatal laparoscopic surgery, and the determination of face validity by the attendants. Data included in the present study was obtained from five consecutive editions of our Neonatal and Paediatric Laparoscopic Surgery Course. Our training model, with a total duration of 21 hours, begins with acquisition of knowledge in ergonomics and instrument concepts, after which the attendants develop basic laparoscopic dexterity through the performance of hands-on physical simulator tasks. During the second and third days of the course, surgeons undertook various surgical techniques hands-on animal model. At the end of the training program, a subjective evaluation questionnaire was handed out to the attendants, in which different didactic and organizational aspects were considered. We obtained a highly positive score on all questions concerning the different topics and techniques included in the training program (> or = 9 points over 10). 78,5% of the 54 attendants was in accordance with the course total duration, whilst 21,5% considered that it should be of longer duration. Regarding abilities' self assessment, 79,1% considered themselves capacitated to perform trained procedures on live patients. The presented training model has obtained a very positive valuation score, leading to an increase in the attendants' self confidence in the application of learned techniques to their clinical practice.

  12. Towards a product independent ERP training model: An Insight from a literature review

    Directory of Open Access Journals (Sweden)

    Seyed Mohammad Motahar

    2018-03-01

    Full Text Available ERP can be called as one of the most significant contributions of computer science and particularly information systems for the business environment which can support all complicated business process of an organisation including sale, purchase, warehouse and manufacturing into a single database. For such complex system like ERP, implementation involves much collaboration which raises the concern of the success of the project. Among most significant success and failure factors of ERP implementation cited in the literature are training and consultation. For many years the majority of ERP vendors promote their product specific training models as long-term and expensive allowing the organisation to gain knowledge of the ERP system and the way it handles the business process. However, recent studies showed that ERP training can be conducted in the short term and with minimum investment and yet to be effective. Findings triggered a signal and opened a new door for research to investigate vendor-independent training models that require limited investment in training and consultancy. This paper aims to provide an overview of the literature; highlighting the research methods and theories used by authors towards building ERP training models and methods.

  13. Task decomposition: a framework for comparing diverse training models in human brain plasticity studies

    Directory of Open Access Journals (Sweden)

    Emily B. J. Coffey

    2013-10-01

    Full Text Available Training studies, in which the structural or functional neurophysiology is compared before and after expertise is acquired, are increasingly being used as models for understanding the human brain’s potential for reorganization. It is proving difficult to use these results to answer basic and important questions like how task training leads to both specific and general changes in behaviour and how these changes correspond with modifications in the brain. The main culprit is the diversity of paradigms used as complex task models. An assortment of activities ranging from juggling to deciphering Morse code has been reported. Even when working in the same general domain, few researchers use similar training models. New ways to meaningfully compare complex tasks are needed. We propose a method for characterizing and deconstructing the task requirements of complex training paradigms, which is suitable for application to both structural and functional neuroimaging studies. We believe this approach will aid brain plasticity research by making it easier to compare training paradigms, identify ‘missing puzzle pieces’, and encourage researchers to design training protocols to bridge these gaps.

  14. Training Needs Assessment for Leaders in Nursing Based on Comparison of Competency Models

    Directory of Open Access Journals (Sweden)

    Kvas Andreja

    2014-02-01

    Full Text Available Background and Purpose: The main purpose behind the formation of leadership competency models must be the improvement of leadership. A competency model should serve as one of the tools for selecting the most suitable leaders, appraising their work, assessing training needs and preparing programmes of functional and formal education. The objective of this research is to assess the training needs of leaders in health care. A comparison of leadership competency models between different professional groups should serve as one of the tools with which to assess the training needs of various levels of leaders. Design/Methodology/Approach: A descriptive study using a survey design was conducted on 141 nurse leaders in Slovenia. Respondents indicated to what extent each of 95 different behaviours was characteristic of a person at their leadership level. Results: The most important competence dimensions (groups of behaviours for leaders in health care are (1 at the first - top leadership level: strategic thinking, openness to change and responsibility; (2 for leaders at the second - middle leadership level: relations with co-workers, animation, resistance to stress; and (3 for leaders at the third leadership level: realisation skills, execution of procedures, communication. Training needs assessments were done for three leadership levels in nursing care. Conclusions: The greatest need for training of nurse leaders can be observed at the third leadership level. Special training programmes should be organised in the competency areas of realisation skills, execution of procedures, communication, education and ethics

  15. Cardiovascular Surgery Residency Program: Training Coronary Anastomosis Using the Arroyo Simulator and UNIFESP Models

    Directory of Open Access Journals (Sweden)

    Miguel Angel Maluf

    2015-10-01

    Full Text Available ABSTRACT OBJECTIVE: Engage the UNIFESP Cardiovascular Surgery residents in coronary anastomosis, assess their skills and certify results, using the Arroyo Anastomosis Simulator and UNIFESP surgical models. METHODS: First to 6th year residents attended a weekly program of technical training in coronary anastomosis, using 4 simulation models: 1. Arroyo simulator; 2. Dummy with a plastic heart; 3. Dummy with a bovine heart; and 4. Dummy with a beating pig heart. The assessment test was comprised of 10 items, using a scale from 1 to 5 points in each of them, creating a global score of 50 points maximum. RESULTS: The technical performance of the candidate showed improvement in all items, especially manual skill and technical progress, critical sense of the work performed, confidence in the procedure and reduction of the time needed to perform the anastomosis after 12 weeks practice. In response to the multiplicity of factors that currently influence the cardiovascular surgeon training, there have been combined efforts to reform the practices of surgical medical training. CONCLUSION: 1 - The four models of simulators offer a considerable contribution to the field of cardiovascular surgery, improving the skill and dexterity of the surgeon in training. 2 - Residents have shown interest in training and cooperate in the development of innovative procedures for surgical medical training in the art.

  16. A Study of a Three-Dimensional Action Research Training Model for School Library Programs

    Science.gov (United States)

    Gordon, Carol

    2006-01-01

    This is a detailed review of an in-depth action research training model and an investigation of how that model, supported through virtual and personal guidance from an academic researcher, served to impact the instructional practice of a small sample of school library media specialists (SLMSs). The researcher operates in the third dimension,…

  17. A Teacher Training Model for Improving Social Facilitation in the Inclusive Program

    Science.gov (United States)

    Robinson, Suzanne; Myck-Wayne, Janice

    2016-01-01

    The twofold purpose of this article is to highlight the importance of fostering social competence within inclusive preschool programs and to describe a model for training teachers in research-based social facilitation strategies so as to promote social interaction between children with and without disabilities. This model was developed to address…

  18. Teaching Quality Management Model for the Training of Innovation Ability and the Multilevel Decomposition Indicators

    Science.gov (United States)

    Lu, Xingjiang; Yao, Chen; Zheng, Jianmin

    2013-01-01

    This paper focuses on the training of undergraduate students' innovation ability. On top of the theoretical framework of the Quality Function Deployment (QFD), we propose a teaching quality management model. Based on this model, we establish a multilevel decomposition indicator system, which integrates innovation ability characterized by four…

  19. Making of a Corporate University Model: Transition from Traditional Training to Learning Management System

    Science.gov (United States)

    Ilyas, Mohammed

    2017-01-01

    Today organizations have adopted a corporate university model to meet their training requirements, a model that adds value to the business in terms of revenue and profit, improvement in customer retention, improved employee productivity, cost reduction and retention of talented employees. This paper highlights the radical change and an evolution…

  20. The development of fully dynamic rotating machine models for nuclear training simulators

    International Nuclear Information System (INIS)

    Birsa, J.J.

    1990-01-01

    Prior to beginning the development of an enhanced set of electrical plant models for several nuclear training simulators, an extensive literature search was conducted to evaluate and select rotating machine models for use on these simulators. These models include the main generator, diesel generators, in-plant electric power distribution and off-side power. Form the results of this search, various models were investigated and several were selected for further evaluation. Several computer studies were performed on the selected models in order to determine their suitability for use in a training simulator environment. One surprising result of this study was that a number of established, classical models could not be made to reproduce actual plant steady-state data over the range necessary for a training simulator. This evaluation process and its results are presented in this paper. Various historical, as well as contemporary, electrical models of rotating machines are discussed. Specific criteria for selection of rotating machine models for training simulator use are presented

  1. Object recognition via MINACE filter trained on synthetic 3D model

    Science.gov (United States)

    Shaulskiy, Dmitry V.; Konstantinov, Maxim V.; Starikov, Rostislav S.

    2015-09-01

    Paper presents study results of MINACE filter implementation to recognition problem of object subjected to out-of-plane rotation distortion and captured as raster image. Filter training conducted by images acquired from synthetic 3D object model. Dependence of recognition results from 3D model illumination type is shown.

  2. A general scheme for training and optimization of the Grenander deformable template model

    DEFF Research Database (Denmark)

    Fisker, Rune; Schultz, Nette; Duta, N.

    2000-01-01

    parameters, a very fast general initialization algorithm and an adaptive likelihood model based on local means. The model parameters are trained by a combination of a 2D shape learning algorithm and a maximum likelihood based criteria. The fast initialization algorithm is based on a search approach using...

  3. Training Self-Regulated Learning Skills with Video Modeling Examples: Do Task-Selection Skills Transfer?

    Science.gov (United States)

    Raaijmakers, Steven F.; Baars, Martine; Schaap, Lydia; Paas, Fred; van Merriënboer, Jeroen; van Gog, Tamara

    2018-01-01

    Self-assessment and task-selection skills are crucial in self-regulated learning situations in which students can choose their own tasks. Prior research suggested that training with video modeling examples, in which another person (the model) demonstrates and explains the cyclical process of problem-solving task performance, self-assessment, and…

  4. Spreadsheet Decision Support Model for Training Exercise Material Requirements Planning

    National Research Council Canada - National Science Library

    Tringali, Arthur

    1997-01-01

    This thesis focuses on developing a spreadsheet decision support model that can be used by combat engineer platoon and company commanders in determining the material requirements and estimated costs...

  5. Modelling of the Quality Management of the Human Resource Training

    Directory of Open Access Journals (Sweden)

    Bucur Amelia

    2015-12-01

    Full Text Available It is known that for the scientific substantiation of quality management have been applied models that pertain to mathematical statistics, the probability theory, the information theory, fuzzy systems, graphic methods, time series, and algebraic and numerical methods.

  6. On PAC learning of functions with smoothness properties using feedforward sigmoidal networks

    Energy Technology Data Exchange (ETDEWEB)

    Rao, N.S.V.; Protopopescu, V.A.

    1996-04-01

    We consider Probably and Approximately Corrct (PAC) learning of an unknown function f: [0,1]{sup d} {r_arrow} [0,1], based on finite samples using feedforward sigmoidal networks. The unknown function f is chosen from the family F{intersection}C([0,1]{sup d}) or F{intersection}L{sup {infinity}}([0,1]{sup d}), where F has either bounded modulus of smoothness or bounded capacity or both. The learning sample is given by (X{sub 1},f(X{sub 1})),(X{sub 2},f(X{sub 2})),{hor_ellipsis},(X{sub n},f(X{sub n})), where X{sub 1},X{sub 2},{hor_ellipsis},X{sub n} are independently and identically distributed according to an unknown distribution. We consider the feedforward networks with a a single hidden layer of 1/(1 + e{sup {minus}{gamma}z})-units and bounded parameters, but the results can be extended to other neural networks where the hidden units satisfy suitable smoothness conditions. We analyze three function estimators based on nearest neighbor rule, local averaging, and Nadaraya-Watson estimator, all computed using the Haar system. It is shown that given a sufficiently large sample, each of these estimators approximates the best neural network to any given error with arbitrarily high probability. This result is crucical for establishing the essentially equivalent capabilities of neural networks and the above estimators for PAC learning from finite samples. Practical importance of this ``equivalence`` stems from the fact that computing a neural network which approximates the best possible one is computationally difficult, whereas the three estimators are linear-time computable in terms of sample size.

  7. Arm Dominance Affects Feedforward Strategy more than Feedback Sensitivity during a Postural Task

    Science.gov (United States)

    Walker, Elise H. E.; Perreault, Eric J.

    2015-01-01

    Handedness is a feature of human motor control that is still not fully understood. Recent work has demonstrated that the dominant and nondominant arm each excel at different behaviors, and has proposed that this behavioral asymmetry arises from lateralization in the cerebral cortex: the dominant side specializes in predictive trajectory control, while the nondominant side is specialized for impedance control. Long-latency stretch reflexes are an automatic mechanism for regulating posture, and have been shown to contribute to limb impedance. To determine whether long-latency reflexes also contribute to asymmetric motor behavior in the upper limbs, we investigated the effect of arm dominance on stretch reflexes during a postural task that required varying degrees of impedance control. Our results demonstrated slightly but significantly larger reflex responses in the biarticular muscles of the nondominant arm, as would be consistent with increased impedance control. These differences were attributed solely to higher levels of voluntary background activity in the nondominant biarticular muscles, indicating that feedforward strategies for postural stability may differ between arms. Reflex sensitivity, which was defined as the magnitude of the reflex response for matched levels of background activity, was not significantly different between arms for a broad subject population ranging from 23–51 years of age. These results indicate that inter-arm differences in feedforward strategies are more influential during posture than differences in feedback sensitivity, in a broad subject population. Interestingly, restricting our analysis to subjects under 40 years of age revealed a small increase in long-latency reflex sensitivity in the nondominant arm relative to the dominant arm. Though our subject numbers were small for this secondary analysis, it suggests that further studies may be required to assess the influence of reflex lateralization throughout development. PMID

  8. Deterministic quantum teleportation with feed-forward in a solid state system.

    Science.gov (United States)

    Steffen, L; Salathe, Y; Oppliger, M; Kurpiers, P; Baur, M; Lang, C; Eichler, C; Puebla-Hellmann, G; Fedorov, A; Wallraff, A

    2013-08-15

    Engineered macroscopic quantum systems based on superconducting electronic circuits are attractive for experimentally exploring diverse questions in quantum information science. At the current state of the art, quantum bits (qubits) are fabricated, initialized, controlled, read out and coupled to each other in simple circuits. This enables the realization of basic logic gates, the creation of complex entangled states and the demonstration of algorithms or error correction. Using different variants of low-noise parametric amplifiers, dispersive quantum non-demolition single-shot readout of single-qubit states with high fidelity has enabled continuous and discrete feedback control of single qubits. Here we realize full deterministic quantum teleportation with feed-forward in a chip-based superconducting circuit architecture. We use a set of two parametric amplifiers for both joint two-qubit and individual qubit single-shot readout, combined with flexible real-time digital electronics. Our device uses a crossed quantum bus technology that allows us to create complex networks with arbitrary connecting topology in a planar architecture. The deterministic teleportation process succeeds with order unit probability for any input state, as we prepare maximally entangled two-qubit states as a resource and distinguish all Bell states in a single two-qubit measurement with high efficiency and high fidelity. We teleport quantum states between two macroscopic systems separated by 6 mm at a rate of 10(4) s(-1), exceeding other reported implementations. The low transmission loss of superconducting waveguides is likely to enable the range of this and other schemes to be extended to significantly larger distances, enabling tests of non-locality and the realization of elements for quantum communication at microwave frequencies. The demonstrated feed-forward may also find application in error correction schemes.

  9. Seeking the best training model for difficult conversations in neonatology.

    Science.gov (United States)

    Lechner, Beatrice E; Shields, Robin; Tucker, Richard; Bender, G Jesse

    2016-05-01

    We hypothesize that a formal simulation curriculum prepares neonatology fellows for difficult conversations better than traditional didactics. Single-center neonatology fellowship graduates from 1999 to 2013 were sent a retrospective web-based survey. Some had been exposed to a Difficult Conversations curriculum (simulation group), others had not (no simulation group). The simulation group participated in one workshop annually, consisting of lecture, simulation, and debriefing. Scenarios were customized to year of training. Epoch comparisons were made between the simulation and no simulation groups. Self-rated baseline effectiveness at discussing difficult topics was not different. The simulation group reported more supervised family meetings and feedback after fellow-led meetings. Simulations were rated very positively. The simulation group reported increased comfort levels. Strategic pause and body positioning were specific communication skills more frequently acquired in the simulation group. In both groups, the highest ranked contributors to learning were mentor observation and clinical practice. In the simulation group, simulation and debriefing outranked didactics or other experiences. Simulation-based workshops improve communication skills in high stakes conversations. However, they do not substitute for mentor observation and experience. Establishing a structured simulation-based difficult conversations curriculum refines vital communication skills necessary for the high stakes conversations neonatologists direct in clinical practice.

  10. Nuclear power plant training simulator modeling organization and method

    International Nuclear Information System (INIS)

    Alliston, W.H.

    1975-01-01

    A description is given of a training simulator for the full-scope real-time dynamic operation of a nuclear power plant which utilizes apparatus that includes control consoles having manual and automatic devices corresponding to simulated plant components and indicating devices for monitoring physical values in the simulated plants. A digital computer configuration is connected to the control consoles to calculate the dynamic real-time simulated operation of the plant in accordance with the simulated plant components to provide output data including data for operating the control console indicating devices. The plant simulation is modularized into various plant components or component systems. Simulated plant components or component systems are described by a mathematical equation embodied in a computer program which accepts data from other simulated plant components or systems, calculates output values including values which are used as inputs for simulator calculators by other simulated plant components or systems, and responds in a manner similar to that of its corresponding physical entity in both transient and steady states

  11. Features that contribute to the usefulness of low-fidelity models for surgical skills training

    DEFF Research Database (Denmark)

    Langebaek, Rikke; Berendt, Mette; Tanggaard, Lene

    2012-01-01

    of the usefulness of the models in applying the trained skills to live animal surgery. One hundred and forty-six veterinary fourth-year students evaluated the models on a four-point Likert scale. Of these, 26 additionally participated in individual semistructured interviews. The survey results showed that 75 per......For practical, ethical and economic reasons, veterinary surgical education is becoming increasingly dependent on models for training. The limited availability and high cost of commercially produced surgical models has increased the need for useful, low-cost alternatives. For this reason, a number...... of models were developed to be used in a basic surgical skills course for veterinary students. The models were low fidelity, having limited resemblance to real animals. The aim of the present study was to describe the students' learning experience with the models and to report their perception...

  12. Inservice trainings for Shiraz University of Medical Sciences employees: effectiveness assessment by using the CIPP model

    Directory of Open Access Journals (Sweden)

    MARYAM MOKHTARZADEGAN

    2015-04-01

    Full Text Available Introduction: Nowadays, the employees` inservice training has become one of the core components in survival and success of any organization. Unfortunately, despite the importance of training evaluation, a small portion of resources are allocated to this matter. Among many evaluation models, the CIPP model or Context, Input, Process, Product model is a very useful approach to educational evaluation. So far, the evaluation of the training courses mostly provided information for learners but this investigation aims at evaluating the effectiveness of the experts’ training programs and identifying its pros and cons based on the 4 stages of the CIPP model. Method: In this descriptive analytical study, done in 2013, 250 employees of Shiraz University Medical Sciences (SUMS participated in inservice training courses were randomly selected. The evaluated variables were designed using CIPP model and a researcher-made questionnaire was used for data collection; the questionnaire was validated using expert opinion and its reliability was confirmed by Cronbach’s alpha (0.89. Quantitative data were analyzed using SPSS 14 and statistical tests was done as needed. Results: In the context phase, the mean score was highest in solving work problems (4.07±0.88 and lowest in focusing on learners’ learning style training courses (2.68±0.91. There is a statistically significant difference between the employees` education level and the product phase evaluation (p0.001, in contrast with the process and product phase which showed a significant deference (p<0.001. Conclusion: Considering our results, although the inservice trainings given to sums employees has been effective in many ways, it has some weaknesses as well. Therefore improving these weaknesses and reinforcing strong points within the identified fields in this study should be taken into account by decision makers and administrators.

  13. The effectiveness of agrobusiness technical training and education model for the field agricultural extension officers

    Directory of Open Access Journals (Sweden)

    Kristiyo Sumarwono

    2017-07-01

    Full Text Available The study was to: (1 find the most effective agrobusiness technical training and education model for the Field Agricultural Extension Officers to be implemented; and (2 to identify the knowledge level, the highest agrobusiness skills and the strongest self-confidence that might be achieved by the participants through the implemented training and education patterns. The study was conducted by means of experiment method with the regular pattern of training and education program as the control and the mentoring pattern of training and education program as the treatment. The three patterns of training and education programs served as the independent variables while the knowledge, the skills and the self-confidence served as the dependent variables. The study was conducted in three locations namely: the Institution of Agricultural Human Resources Development in the Province of Yogyakarta Special Region (Balai Pengembangan Sumber Daya Manusia Pertanian Daerah Istimewa Yogyakarta – BPSMP DIY; the Institution of Agricultural Human Resources Empowerment (Balai Pemberdayaan Sumber Daya Manusia Pertanian – BPSDMTAN Soropadan Temanggung Provinsi Jawa Tengah in Soropadan, Temanggung, the Province of Central Java; and the Institution of Training and Education in Semarang, the Province of Central Java (Badan Pendidikan dan Pelatihan Semarang Provinsi Jawa Tengah. The study was conducted to all of the participants who attended the agrobusiness technical training and education program and, therefore, all of the participants became the subjects of the study. The study was conducted from October 2013 until March 2014. The results of the study showed that: (1 there had not been any significant difference on the knowledge and the skills of the participants who attended the regular pattern in training and education programs and those who attended the mentoring pattern in training and education programs; (2 the regular pattern in training and education programs

  14. Performance changes in world-class kayakers following two different training periodization models.

    Science.gov (United States)

    García-Pallarés, Jesús; García-Fernández, Miguel; Sánchez-Medina, Luis; Izquierdo, Mikel

    2010-09-01

    This study was undertaken to compare training-induced changes in selected physiological, body composition and performance variables following two training periodization models: traditional (TP) versus block periodization (BP). Ten world-class kayakers were assessed four times during a training cycle over two consecutive seasons. On each occasion, subjects completed an incremental test to exhaustion on the kayak ergometer to determine peak oxygen uptake (VO(2peak)), VO(2) at second ventilatory threshold (VO(2) VT2), peak blood lactate, paddling speed at VO(2peak) (PS(peak)) and VT2 (PS( VT2)), power output at VO(2peak) (Pw(peak)) and VT2 (Pw( VT2)), stroke rate at VO(2peak) (SR(peak)) and VT2 (SR( VT2)) as well as heart rate at VO(2peak) and VT2. Volume and exercise intensity were quantified for each endurance training session. Both TP and BP cycles resulted in similar gains in VO(2peak) (11 and 8.1%) and VO(2) VT2 (9.8 and 9.4%), even though the TP cycle was 10 weeks and 120 training hours longer than the BP cycle. Following BP paddlers experienced larger gains in PS(peak), Pw(peak) and SR(peak) than those observed with TP. These findings suggest that BP may be more effective than TP for improving the performance of highly trained top-level kayakers. Although both models allowed significant improvements of selected physiological and kayaking performance variables, the BP program achieved similar results with half the endurance training volume used in the TP model. A BP design could be a more useful strategy than TP to maintain the residual training effects as well as to achieve greater improvements in certain variables related to kayaking performance.

  15. Developing a scalable training model in global mental health: pilot study of a video-assisted training Program for Generalist Clinicians in Rural Nepal.

    Science.gov (United States)

    Acharya, B; Tenpa, J; Basnet, M; Hirachan, S; Rimal, P; Choudhury, N; Thapa, P; Citrin, D; Halliday, S; Swar, S B; van Dyke, C; Gauchan, B; Sharma, B; Hung, E; Ekstrand, M

    2017-01-01

    In low- and middle-income countries, mental health training often includes sending few generalist clinicians to specialist-led programs for several weeks. Our objective is to develop and test a video-assisted training model addressing the shortcomings of traditional programs that affect scalability: failing to train all clinicians, disrupting clinical services, and depending on specialists. We implemented the program -video lectures and on-site skills training- for all clinicians at a rural Nepali hospital. We used Wilcoxon signed-rank tests to evaluate pre- and post-test change in knowledge (diagnostic criteria, differential diagnosis, and appropriate treatment). We used a series of 'Yes' or 'No' questions to assess attitudes about mental illness, and utilized exact McNemar's test to analyze the proportions of participants who held a specific belief before and after the training. We assessed acceptability and feasibility through key informant interviews and structured feedback. For each topic except depression, there was a statistically significant increase (Δ) in median scores on knowledge questionnaires: Acute Stress Reaction (Δ = 20, p = 0.03), Depression (Δ = 11, p = 0.12), Grief (Δ = 40, p training received high ratings; key informants shared examples and views about the training's positive impact and complementary nature of the program's components. Video lectures and on-site skills training can address the limitations of a conventional training model while being acceptable, feasible, and impactful toward improving knowledge and attitudes of the participants.

  16. Aircraft Anomaly Detection Using Performance Models Trained on Fleet Data

    Science.gov (United States)

    Gorinevsky, Dimitry; Matthews, Bryan L.; Martin, Rodney

    2012-01-01

    This paper describes an application of data mining technology called Distributed Fleet Monitoring (DFM) to Flight Operational Quality Assurance (FOQA) data collected from a fleet of commercial aircraft. DFM transforms the data into aircraft performance models, flight-to-flight trends, and individual flight anomalies by fitting a multi-level regression model to the data. The model represents aircraft flight performance and takes into account fixed effects: flight-to-flight and vehicle-to-vehicle variability. The regression parameters include aerodynamic coefficients and other aircraft performance parameters that are usually identified by aircraft manufacturers in flight tests. Using DFM, the multi-terabyte FOQA data set with half-million flights was processed in a few hours. The anomalies found include wrong values of competed variables, (e.g., aircraft weight), sensor failures and baises, failures, biases, and trends in flight actuators. These anomalies were missed by the existing airline monitoring of FOQA data exceedances.

  17. Developing cognitive behaviour therapy training in India: Using the Kolb learning cycle to address challenges in applying transcultural models of mental health and mental health training.

    Science.gov (United States)

    Beck, Andrew; Virudhagirinathan, B S; Santosham, Sangita; Begum, Faiz Jahan

    2014-10-01

    Although mental health workers in India across all major professional groups have identified an unmet need for training in cognitive behaviour therapy (CBT), the uncritical export of models of mental health, therapy provision and training to low- and middle-income countries is a problematic process. This paper describes the context for the first stand-alone CBT training programme in India, based in Chennai. This paper includes an evaluation of the first phase of the training and information from trainees regarding the quality and applicability of the training to their working context. The paper provides an overview of some of the critiques that are pertinent to this process and considers the way that the Kolb learning cycle can be used as a framework within training to go some way to addressing these difficulties.

  18. Model of future officers' availability to the management physical training

    Directory of Open Access Journals (Sweden)

    Olkhovy O.M.

    2012-03-01

    Full Text Available A purpose of work is creation of model of readiness of graduating student to implementation of official questions of guidance, organization and leadthrough of physical preparation in the process of military-professional activity. An analysis is conducted more than 40 sources and questionnaire questioning of a 21 expert. For introduction of model to the system of physical preparation of students the list of its basic constituents is certain: theoretical methodical readiness; functionally-physical readiness; organizationally-administrative readiness. It is certain that readiness of future officers to military-professional activity foresees determination of level of forming of motive capabilities, development of general physical qualities.

  19. From Training to Organizational Behavior: A Mediation Model through Absorptive and Innovative Capacities.

    Science.gov (United States)

    Yáñez-Araque, Benito; Hernández-Perlines, Felipe; Moreno-Garcia, Juan

    2017-01-01

    The training of human resources improves business performance: myth or reality? While the literature has extensively addressed this issue, the transfer that occurs from training to performance still remains unresolved. The present study suggests an empirical solution to this gap, through a multiple mediation model of dynamic capabilities. Accordingly, the study makes a major contribution to the effectiveness of an organizational-level training: the "true" relationship between training and performance is mediated by absorptive and innovative capacities. It is difficult from training to directly affect the results: it must be done through a chain of intermediate variables. Training can be argued to be indirectly related to performance, through absorptive capacity in the first place, and innovative capacity in the second, sequentially in this order (three-path mediated effect). Of all immediate relationships received by performance, its explained variance is achieved partly via absorptive capacity and partly via innovation. The direct relationship through training is not significant and only explains a small percentage of the variance in performance. These results have been corroborated by combining two methods of analysis: PLS-SEM and fsQCA, using data from an online survey. This dual methodology in the study of the same phenomenon allows overcoming the limitations of each method, which would not have been possible with a single methodological approach, and confirming the findings obtained by any of them.

  20. From Training to Organizational Behavior: A Mediation Model through Absorptive and Innovative Capacities

    Directory of Open Access Journals (Sweden)

    Benito Yáñez-Araque

    2017-09-01

    Full Text Available The training of human resources improves business performance: myth or reality? While the literature has extensively addressed this issue, the transfer that occurs from training to performance still remains unresolved. The present study suggests an empirical solution to this gap, through a multiple mediation model of dynamic capabilities. Accordingly, the study makes a major contribution to the effectiveness of an organizational-level training: the “true” relationship between training and performance is mediated by absorptive and innovative capacities. It is difficult from training to directly affect the results: it must be done through a chain of intermediate variables. Training can be argued to be indirectly related to performance, through absorptive capacity in the first place, and innovative capacity in the second, sequentially in this order (three-path mediated effect. Of all immediate relationships received by performance, its explained variance is achieved partly via absorptive capacity and partly via innovation. The direct relationship through training is not significant and only explains a small percentage of the variance in performance. These results have been corroborated by combining two methods of analysis: PLS-SEM and fsQCA, using data from an online survey. This dual methodology in the study of the same phenomenon allows overcoming the limitations of each method, which would not have been possible with a single methodological approach, and confirming the findings obtained by any of them.

  1. A new model of short acceleration-based training improves exercise performance in old mice.

    Science.gov (United States)

    Niel, R; Ayachi, M; Mille-Hamard, L; Le Moyec, L; Savarin, P; Clement, M-J; Besse, S; Launay, T; Billat, V L; Momken, I

    2017-12-01

    In order to identify a more appealing exercise strategy for the elderly, we studied a mouse model to determine whether a less time-consuming training program would improve exercise performance, enzyme activities, mitochondrial respiration, and metabolomic parameters. We compared the effects of short-session (acceleration-based) training with those of long-session endurance training in 23-month-old mice. The short-session training consisted of five acceleration-based treadmill running sessions over 2 weeks (the acceleration group), whereas the endurance training consisted of five-one-hour treadmill sessions per week for 4 weeks (the endurance group). A control group of mice was also studied. In the acceleration group, the post-training maximum running speed and time to exhaustion were significantly improved, relative to pretraining values (+8% for speed, Pspeed was higher in the acceleration group than in the endurance group (by 23%; Pendurance group. Furthermore, mitochondrial respiratory activity in the gastrocnemius was higher in the acceleration group than in the control group. A metabolomic urine analysis revealed a higher mean taurine concentration and a lower mean branched amino acid concentration in the acceleration group. In old mice, acceleration-based training appears to be an efficient way of increasing performance by improving both aerobic and anaerobic metabolism, and possibly by enhancing antioxidant defenses and maintaining muscle protein balance. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  2. A multistate model of cognitive dynamics in relation to resistance training: the contribution of baseline function.

    Science.gov (United States)

    Fallah, Nader; Hsu, Chun L; Bolandzadeh, Niousha; Davis, Jennifer; Beattie, B Lynn; Graf, Peter; Liu-Ambrose, Teresa

    2013-08-01

    We investigated: (1) the effect of different targeted exercise training on an individual's overall probability for cognitive improvement, maintenance, or decline; and (2) the simultaneous effect of targeted exercise training and baseline function on the dynamics of executive functions when a multistate transition model is used. Analyses are based on a 12-month randomized clinical trial including 155 community-dwelling women 65-75 years of age who were randomly allocated to once-weekly resistance training (1x RT; n = 54), twice-weekly resistance training (2x RT; n = 52), or twice-weekly balance and tone training (BAT; n = 49). The primary outcome measure was performance on the Stroop test, an executive cognitive test of selective attention and conflict resolution. Secondary outcomes of executive functions were set shifting and working memory. Individuals in the 1x RT or 2x RT group demonstrated a significantly greater probability for improved performance on the Stroop Test (0.49; 95% confidence interval, 0.41-0.57) compared with those in the BAT group (0.25; 95% confidence interval, 0.25-0.40). Resistance training had significant effects on transitions in selective attention and conflict resolution. Resistance training is efficacious in improving a measure of selective attention and conflict resolution in older women, probably more so among those with greater baseline cognitive function. Copyright © 2013 Elsevier Inc. All rights reserved.

  3. Feedforward and feedback control of locked mode phase and rotation in DIII-D with application to modulated ECCD experiments

    Science.gov (United States)

    Choi, W.; La Haye, R. J.; Lanctot, M. J.; Olofsson, K. E. J.; Strait, E. J.; Sweeney, R.; Volpe, F. A.; The DIII-D Team

    2018-03-01

    The toroidal phase and rotation of otherwise locked magnetic islands of toroidal mode number n  =  1 are controlled in the DIII-D tokamak by means of applied magnetic perturbations of n  =  1. Pre-emptive perturbations were applied in feedforward to ‘catch’ the mode as it slowed down and entrain it to the rotating field before complete locking, thus avoiding the associated major confinement degradation. Additionally, for the first time, the phase of the perturbation was optimized in real-time, in feedback with magnetic measurements, in order for the mode’s phase to closely match a prescribed phase, as a function of time. Experimental results confirm the capability to hold the mode in a given fixed-phase or to rotate it at up to 20 Hz with good uniformity. The control-coil currents utilized in the experiments agree with the requirements estimated by an electromechanical model. Moreover, controlled rotation at 20 Hz was combined with electron cyclotron current drive (ECCD) modulated at the same frequency. This is simpler than regulating the ECCD modulation in feedback with spontaneous mode rotation, and enables repetitive, reproducible ECCD deposition at or near the island O-point, X-point and locations in between, for careful studies of how this affects the island stability. Current drive was found to be radially misaligned relative to the island, and resulting growth and shrinkage of islands matched expectations of the modified Rutherford equation for some discharges presented here. Finally, simulations predict the as designed ITER 3D coils can entrain a small island at sub-10 Hz frequencies.

  4. The Müller-Lyer Illusion in a computational model of biological object recognition.

    Directory of Open Access Journals (Sweden)

    Astrid Zeman

    Full Text Available Studying illusions provides insight into the way the brain processes information. The Müller-Lyer Illusion (MLI is a classical geometrical illusion of size, in which perceived line length is decreased by arrowheads and increased by arrowtails. Many theories have been put forward to explain the MLI, such as misapplied size constancy scaling, the statistics of image-source relationships and the filtering properties of signal processing in primary visual areas. Artificial models of the ventral visual processing stream allow us to isolate factors hypothesised to cause the illusion and test how these affect classification performance. We trained a feed-forward feature hierarchical model, HMAX, to perform a dual category line length judgment task (short versus long with over 90% accuracy. We then tested the system in its ability to judge relative line lengths for images in a control set versus images that induce the MLI in humans. Results from the computational model show an overall illusory effect similar to that experienced by human subjects. No natural images were used for training, implying that misapplied size constancy and image-source statistics are not necessary factors for generating the illusion. A post-hoc analysis of response weights within a representative trained network ruled out the possibility that the illusion is caused by a reliance on information at low spatial frequencies. Our results suggest that the MLI can be produced using only feed-forward, neurophysiological connections.

  5. Adaptive Neuron Model: An architecture for the rapid learning of nonlinear topological transformations

    Science.gov (United States)

    Tawel, Raoul (Inventor)

    1994-01-01

    A method for the rapid learning of nonlinear mappings and topological transformations using a dynamically reconfigurable artificial neural network is presented. This fully-recurrent Adaptive Neuron Model (ANM) network was applied to the highly degenerate inverse kinematics problem in robotics, and its performance evaluation is bench-marked. Once trained, the resulting neuromorphic architecture was implemented in custom analog neural network hardware and the parameters capturing the functional transformation downloaded onto the system. This neuroprocessor, capable of 10(exp 9) ops/sec, was interfaced directly to a three degree of freedom Heathkit robotic manipulator. Calculation of the hardware feed-forward pass for this mapping was benchmarked at approximately 10 microsec.

  6. Teacher training by means of a school-based model

    African Journals Online (AJOL)

    21172714

    members of school managements involved were positive regarding the SBTM, and that the advantages of the model outweighed the ... There is a teacher shortage in South Africa (SA), particularly in rural areas (Department of Education (DoE),. Republic of South Africa, ..... College Teaching, 21(3):95-108. Boeve-de Pauw J ...

  7. Empowering Education: A New Model for In-service Training of Nursing Staff.

    Science.gov (United States)

    Chaghari, Mahmud; Saffari, Mohsen; Ebadi, Abbas; Ameryoun, Ahmad

    2017-01-01

    In-service training of nurses plays an indispensable role in improving the quality of inpatient care. Need to enhance the effectiveness of in-service training of nurses is an inevitable requirement. This study attempted to design a new optimal model for in-service training of nurses. This qualitative study was conducted in two stages during 2015-2016. In the first stage, the Grounded Theory was adopted to explore the process of training 35 participating nurses. The sampling was initially purposeful and then theoretically based on emerging concept. Data were collected through interview, observation and field notes. Moreover, the data were analyzed through Corbin-Strauss method and the data were coded through MAXQDA-10. In the second stage, the findings were employed through 'Walker and Avants strategy for theory construction so as to design an optimal model for in-service training of nursing staff. In the first stage, there were five major themes including unsuccessful mandatory education, empowering education, organizational challenges of education, poor educational management, and educational-occupational resiliency. Empowering education was the core variable derived from the research, based on which a grounded theory was proposed. The new empowering education model was composed of self-directed learning and practical learning. There are several strategies to achieve empowering education, including the fostering of searching skills, clinical performance monitoring, motivational factors, participation in the design and implementation, and problem-solving approach. Empowering education is a new model for in-service training of nurses, which matches the training programs with andragogical needs and desirability of learning among the staff. Owing to its practical nature, the empowering education can facilitate occupational tasks and achieving greater mastery of professional skills among the nurses.

  8. Empowering education: A new model for in-service training of nursing staff

    Directory of Open Access Journals (Sweden)

    MAHMUD CHAGHARI

    2017-01-01

    Full Text Available Introduction: In-service training of nurses plays an indispensable role in improving the quality of inpatient care. Need to enhance the effectiveness of in-service training of nurses is an inevitable requirement. This study attempted to design a new optimal model for in-service training of nurses. Methods: This qualitative study was conducted in two stages during 2015-2016. In the first stage, the Grounded Theory was adopted to explore the process of training 35 participating nurses. The sampling was initially purposeful and then theoretically based on emerging concept. Data were collected through interview, observation and field notes. Moreover, the data were analyzed through Corbin-Strauss method and the data were coded through MAXQDA-10. In the second stage, the findings were employed through Walker and Avant’s strategy for theory construction so as to design an optimal model for in-service training of nursing staff. Results: In the first stage, there were five major themes including unsuccessful mandatory education, empowering education, organizational challenges of education, poor educational management, and educational-occupational resiliency. Empowering education was the core variable derived from the research, based on which a grounded theory was proposed. The new empowering education model was composed of self-directed learning and practical learning. There are several strategies to achieve empowering education, including the fostering of searching skills, clinical performance monitoring, motivational factors, participation in the design and implementation, and problem-solving approach. Conclusion: Empowering education is a new model for in-service training of nurses, which matches the training programs with andragogical needs and desirability of learning among the staff. Owing to its practical nature, the empowering education can facilitate occupational tasks and achieving greater mastery of professional skills among the nurses.

  9. Off-the-job training for VATS employing anatomically correct lung models.

    Science.gov (United States)

    Obuchi, Toshiro; Imakiire, Takayuki; Miyahara, Sou; Nakashima, Hiroyasu; Hamanaka, Wakako; Yanagisawa, Jun; Hamatake, Daisuke; Shiraishi, Takeshi; Moriyama, Shigeharu; Iwasaki, Akinori

    2012-02-01

    We evaluated our simulated major lung resection employing anatomically correct lung models as "off-the-job training" for video-assisted thoracic surgery trainees. A total of 76 surgeons voluntarily participated in our study. They performed video-assisted thoracic surgical lobectomy employing anatomically correct lung models, which are made of sponges so that vessels and bronchi can be cut using usual surgical techniques with typical forceps. After the simulation surgery, participants answered questionnaires on a visual analogue scale, in terms of their level of interest and the reality of our training method as off-the-job training for trainees. We considered that the closer a score was to 10, the more useful our method would be for training new surgeons. Regarding the appeal or level of interest in this simulation surgery, the mean score was 8.3 of 10, and regarding reality, it was 7.0. The participants could feel some of the real sensations of the surgery and seemed to be satisfied to perform the simulation lobectomy. Our training method is considered to be suitable as an appropriate type of surgical off-the-job training.

  10. Feed-forward neural network assisted by discriminant analysis for the spectroscopic discriminantion of cracked spores Ganoderma lucidum: A prospective biotechnology production tool.

    Science.gov (United States)

    Lim, Chee Wei; Chan, Sheot Harn; Visconti, Angelo

    2011-11-15

    A major problem for manufacturers of cracked spores Ganoderma lucidum, a traditional functional food/Chinese medicine (TCM), is to ensure that raw materials are consistent as received from the producer. To address this, a feed-forward artificial neural network (ANN) method assisted by linear discriminant analysis (LDA) and principal component analysis (PCA) was developed for the spectroscopic discrimination of cracked spores of Ganoderma lucidum from uncracked spores. 120 samples comprising cracked spores, uncracked spores and concentrate of Ganoderma lucidum were analyzed. Differences in the absorption spectra located at ν1 (1143 - 1037 cm-1), ν2 (1660 - 1560 cm-1), ν3 (1745 - 1716 cm-1) and ν4 (2845 - 2798 cm-1) were identified by applying fourier transform infra-red (FTIR) spectroscopy and used as variables for discriminant analysis. The utilization of spectra frequencies offered maximum chemical information provided by the absorption spectra. Uncracked spores gave rise to characteristic spectrum that permitted discrimination from its cracked physical state. Parallel application of variables derived from unsupervised LDA/PCA provided useful (feed-forward) information to achieve 100% classification integrity objective in ANN. 100% model validation was obtained by utilizing 30 independent samples. ν1 was used to construct the matrix-matched calibration curve (n = 10) based on 4 levels of concentration (20%, 40%, 60% and 80% uncracked spores in cracked spores). A coefficient of correlation (r) of 0.97 was obtained. Relative standard deviation (RSD) of 11% was achieved using 100% uncracked spores (n = 30). These results demonstrate the feasibility of utilizing a combination of spectroscopy and prospective statistical tools to perform non destructive food quality assessment in a high throughput environment.

  11. Source modelling of train noise - Literature review and some initial measurements

    Energy Technology Data Exchange (ETDEWEB)

    Zhang Xuetao; Jonasson, Hans; Holmberg, Kjell

    2000-07-01

    A literature review of source modelling of railway noise is reported. Measurements on a special test rig at Surahammar and on the new railway line between Arlanda and Stockholm City are reported and analyzed. In the analysis the train is modelled as a number of point sources with or without directivity and each source is combined with analytical sound propagation theory to predict the sound propagation pattern best fitting the measured data. Wheel/rail rolling noise is considered to be the most important noise source. The rolling noise can be modelled as an array of moving point sources, which have a dipole-like horizontal directivity and some kind of vertical directivity. In general it is necessary to distribute the point sources on several heights. Based on our model analysis the source heights for the rolling noise should be below the wheel axles and the most important height is about a quarter of wheel diameter above the railheads. When train speeds are greater than 250 km/h aerodynamic noise will become important and even dominant. It may be important for low frequency components only if the train speed is less than 220 km/h. Little data are available for these cases. It is believed that aerodynamic noise has dipole-like directivity. Its spectrum depends on many factors: speed, railway system, type of train, bogies, wheels, pantograph, presence of barriers and even weather conditions. Other sources such as fans, engine, transmission and carriage bodies are at most second order noise sources, but for trains with a diesel locomotive engine the engine noise will be dominant if train speeds are less than about 100 km/h. The Nord 2000 comprehensive model for sound propagation outdoors, together with the source model that is based on the understandings above, can suitably handle the problems of railway noise propagation in one-third octave bands although there are still problems left to be solved.

  12. Model-based verification method for solving the parameter uncertainty in the train control system

    International Nuclear Information System (INIS)

    Cheng, Ruijun; Zhou, Jin; Chen, Dewang; Song, Yongduan

    2016-01-01

    This paper presents a parameter analysis method to solve the parameter uncertainty problem for hybrid system and explore the correlation of key parameters for distributed control system. For improving the reusability of control model, the proposed approach provides the support for obtaining the constraint sets of all uncertain parameters in the abstract linear hybrid automata (LHA) model when satisfying the safety requirements of the train control system. Then, in order to solve the state space explosion problem, the online verification method is proposed to monitor the operating status of high-speed trains online because of the real-time property of the train control system. Furthermore, we construct the LHA formal models of train tracking model and movement authority (MA) generation process as cases to illustrate the effectiveness and efficiency of the proposed method. In the first case, we obtain the constraint sets of uncertain parameters to avoid collision between trains. In the second case, the correlation of position report cycle and MA generation cycle is analyzed under both the normal and the abnormal condition influenced by packet-loss factor. Finally, considering stochastic characterization of time distributions and real-time feature of moving block control system, the transient probabilities of wireless communication process are obtained by stochastic time petri nets. - Highlights: • We solve the parameters uncertainty problem by using model-based method. • We acquire the parameter constraint sets by verifying linear hybrid automata models. • Online verification algorithms are designed to monitor the high-speed trains. • We analyze the correlation of key parameters and uncritical parameters. • The transient probabilities are obtained by using reliability analysis.

  13. Occupational risk perception, safety training, and injury prevention: testing a model in the Italian printing industry.

    Science.gov (United States)

    Leiter, Michael P; Zanaletti, William; Argentero, Piergiorgio

    2009-01-01

    This study examined occupational risk perception in relation to safety training and injuries. In a printing industry, 350 workers from 6 departments completed a survey. Data analysis showed significant differences in risk perceptions among departments. Differences in risk perception reflected the type of work and the injury incidents in the departments. A structural equation analysis confirmed a model of risk perception on the basis of employees' evaluation of the prevalence and lethalness of hazards as well as the control over hazards they gain from training. The number of injuries sustained was positively related to the perception of risk exposure and negatively related to evaluations about the safety training. The results highlight the importance of training interventions in increasing workers' adoption of safety procedures and prevention of injuries.

  14. End-to-End Delay Model for Train Messaging over Public Land Mobile Networks

    Directory of Open Access Journals (Sweden)

    Franco Mazzenga

    2017-11-01

    Full Text Available Modern train control systems rely on a dedicated radio network for train to ground communications. A number of possible alternatives have been analysed to adopt the European Rail Traffic Management System/European Train Control System (ERTMS/ETCS control system on local/regional lines to improve transport capacity. Among them, a communication system based on public networks (cellular&satellite provides an interesting, effective and alternative solution to proprietary and expensive radio networks. To analyse performance of this solution, it is necessary to model the end-to-end delay and message loss to fully characterize the message transfer process from train to ground and vice versa. Starting from the results of a railway test campaign over a 300 km railway line for a cumulative 12,000 traveled km in 21 days, in this paper, we derive a statistical model for the end-to-end delay required for delivering messages. In particular, we propose a two states model allowing for reproducing the main behavioral characteristics of the end-to-end delay as observed experimentally. Model formulation has been derived after deep analysis of the recorded experimental data. When it is applied to model a realistic scenario, it allows for explicitly accounting for radio coverage characteristics, the received power level, the handover points along the line and for the serving radio technology. As an example, the proposed model is used to generate the end-to-end delay profile in a realistic scenario.

  15. The Madrid Train Bombings: A Decision-Making Model Analysis

    Science.gov (United States)

    2009-12-11

    4 Since 9/11 virtually all elements of national power have been used to strategically react to terrorism. 2 This study will analyze a terrorist...election.4 While this caused much controversy within Spain, it also makes an analysis using the Organizational Process Model virtually impossible...Cuerpo Nacional de Polic´ıa or CNP and the Guardia Civil), its counterterrorist agency (Spanish security forces--Fuerzas y Cuerpos de Seguridad del

  16. Craving to Quit: psychological models and neurobiological mechanisms of mindfulness training as treatment for addictions

    OpenAIRE

    Brewer, Judson A.; Elwafi, Hani M.; Davis, Jake H.

    2012-01-01

    Humans suffer heavily from substance use disorders and other addictions. Despite much effort that has been put into understanding the mechanisms of the addictive process, treatment strategies have remained sub-optimal over the past several decades. Mindfulness training, which is based on ancient Buddhist models of human suffering, has recently shown preliminary efficacy in treating addictions. Interestingly, these early models show remarkable similarity to current models of the addictive proc...

  17. A graphical interface based model for wind turbine drive train dynamics

    Energy Technology Data Exchange (ETDEWEB)

    Manwell, J.F.; McGowan, J.G.; Abdulwahid, U.; Rogers, A. [Univ. of Massachusetts, Amherst, MA (United States); McNiff, B. [McNiff Light Industry, Blue Hill, ME (United States)

    1996-12-31

    This paper presents a summary of a wind turbine drive train dynamics code that has been under development at the University of Massachusetts, under National Renewable Energy Laboratory (NREL) support. The code is intended to be used to assist in the proper design and selection of drive train components. This work summarizes the development of the equations of motion for the model, and discusses the method of solution. In addition, a number of comparisons with analytical solutions and experimental field data are given. The summary includes conclusions and suggestions for future work on the model. 13 refs., 10 figs.

  18. Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies

    Science.gov (United States)

    Høyer, Anne-Sophie; Vignoli, Giulio; Mejer Hansen, Thomas; Thanh Vu, Le; Keefer, Donald A.; Jørgensen, Flemming

    2017-12-01

    Most studies on the application of geostatistical simulations based on multiple-point statistics (MPS) to hydrogeological modelling focus on relatively fine-scale models and concentrate on the estimation of facies-level structural uncertainty. Much less attention is paid to the use of input data and optimal construction of training images. For instance, even though the training image should capture a set of spatial geological characteristics to guide the simulations, the majority of the research still relies on 2-D or quasi-3-D training images. In the present study, we demonstrate a novel strategy for 3-D MPS modelling characterized by (i) realistic 3-D training images and (ii) an effective workflow for incorporating a diverse group of geological and geophysical data sets. The study covers an area of 2810 km2 in the southern part of Denmark. MPS simulations are performed on a subset of the geological succession (the lower to middle Miocene sediments) which is characterized by relatively uniform structures and dominated by sand and clay. The simulated domain is large and each of the geostatistical realizations contains approximately 45 million voxels with size 100 m × 100 m × 5 m. Data used for the modelling include water well logs, high-resolution seismic data, and a previously published 3-D geological model. We apply a series of different strategies for the simulations based on data quality, and develop a novel method to effectively create observed spatial trends. The training image is constructed as a relatively small 3-D voxel model covering an area of 90 km2. We use an iterative training image development strategy and find that even slight modifications in the training image create significant changes in simulations. Thus, this study shows how to include both the geological environment and the type and quality of input information in order to achieve optimal results from MPS modelling. We present a practical workflow to build the training image and

  19. Application of rapid prototyping techniques for modelling of anatomical structures in medical training and education.

    Science.gov (United States)

    Torres, K; Staśkiewicz, G; Śnieżyński, M; Drop, A; Maciejewski, R

    2011-02-01

    Rapid prototyping has become an innovative method of fast and cost-effective production of three-dimensional models for manufacturing. Wide access to advanced medical imaging methods allows application of this technique for medical training purposes. This paper presents the feasibility of rapid prototyping technologies: stereolithography, selective laser sintering, fused deposition modelling, and three-dimensional printing for medical education. Rapid prototyping techniques are a promising method for improvement of anatomical education in medical students but also a valuable source of training tools for medical specialists.

  20. Dust Plume Modeling at Fort Bliss: Move-Out Operations, Combat Training and Wind Erosion

    Energy Technology Data Exchange (ETDEWEB)

    Chapman, Elaine G.; Rishel, Jeremy P.; Rutz, Frederick C.; Seiple, Timothy E.; Newsom, Rob K.; Allwine, K Jerry

    2006-09-29

    The potential for air-quality impacts from heavy mechanized vehicles operating in the training ranges and on the unpaved main supply routes at Fort Bliss was investigated. This report details efforts by the staff of Pacific Northwest National Laboratory for the Fort Bliss Directorate of Environment in this investigation. Dust emission and dispersion from typical activities, including move outs and combat training, occurring on the installation were simulated using the atmospheric modeling system DUSTRAN. Major assumptions associated with designing specific modeling scenarios are summarized, and results from the simulations are presented.

  1. Effect of Nigella sativa supplementation to exercise training in a novel model of physiological cardiac hypertrophy.

    Science.gov (United States)

    Al-Asoom, L I; Al-Shaikh, B A; Bamosa, A O; El-Bahai, M N

    2014-09-01

    Exercise training is employed as supplementary therapy to patients with heart failure due to its multiple beneficial cardiac effects including physiological remodeling of the heart. However, precautions might be taken for the concomitant high oxidant release. Nigella sativa (NS) has been found to induce cardiac hypertrophy and enhance cardiac function. Combination of NS supplementation and exercise training might induce a safer model of cardiac hypertrophy. Our aim was to study biomarkers associated with cardiac hypertrophy induced by NS supplementation of exercise-trained rats. Forty-five adult male Wistar rats (body weight 150-220 g) were divided equally into three groups: control, exercise-trained (ET) and NS-treated-exercise-trained (NSET) groups. Daily 800 mg/kg NS was administered orally to NSET group for 8 weeks. Rats of the ET and NSET groups were subjected to treadmill running sessions for 2 h/day for 8 weeks. By the end of the experiment, the following were recorded: body, heart and left ventricular weights (BW, HW, LVW), cardiomyocyte diameter, serum growth hormone, insulin growth factor-I (IGF-I), thyroid hormones, catecholamines, total nitrate, ICAM and antioxidant capacity. A homogenous cardiac hypertrophy was evidenced by increased HW/BW, LVW/BW ratios and cardiomyocyte diameter in the two groups of exercise-trained compared with control rats. Rats of ET group had higher growth hormone. Those of NSET group developed higher IGF-I and total antioxidant capacity, as well as lower serum thyroxin level. Simultaneous NS supplementation to an exercise training program preserves and augments exercise-induced physiological cardiac hypertrophy with step-forward adaptive signs of increased IGF-I and reduced thyroxin level, and with an added advantage of elevation of total serum antioxidant capacity. Thus, the novel model of NSET-induced cardiac hypertrophy might be introduced as a new therapeutic strategy for the treatment of heart failure with superior

  2. An evaluation of a two-site pilot model for dental foundation training.

    Science.gov (United States)

    Ali, K; Khan, S; Briggs, P; Jones, E

    2017-08-25

    Objectives To evaluate the feasibility, strengths, weaknesses, and challenges of a two-site model of dental foundation training.Methods A mixed methods approach was used to evaluate the two-site pilot. Qualitative interviews and focus groups were employed to gain an in-depth understanding of the expectations, experiences and concerns of the stakeholders. Additionally, purposefully designed questionnaires were used to rate different elements of the training.Results Participants included 12 foundation dentists, 15 educational supervisors and seven assistant educational supervisors. An increased breadth of clinical experience, a more variable case-mix, feedback from two teams of supervisors, and the experience of working within two different practices with two different teams and cultures were perceived to be the main strengths. The key challenges reported by the trainers were increased workload, a perceived disruption to the continuity of patient-care and perceived difficulties in establishing professional relationships.Conclusions This paper reports on the evaluation of a new model of dental foundation training in London. It highlights potential advantages and drawbacks of providing dental foundation training in two dental practices. Given the limitations of the of evaluation reported in this paper, additional work is required to establish the feasibility and effectiveness of the two-site training model.

  3. MODEL OF TRAINING OF PRIMARY SCHOOL TEACHERS IN LEARNING THE BASICS OF INFORMATION AND COMMUNICATION TECHNOLOGIES

    Directory of Open Access Journals (Sweden)

    N. Kushnir

    2013-08-01

    Full Text Available In connection with the adoption of a new version of the state standard of primary education and the introduction of a primary school subject "Steps to a informatics" is particularly important problem of training of primary school teachers for training in accordance with the requirements of the standard. The model of training of primary school teachers in learning the basics of information and communication technologies was based on the analysis of the scientific literature and the results of international research on the training of future teachers and the formation of their information and communications expertise, practical experience in high school,. The model provides for the implementation of competence, personal and activity approaches, taking into account psychological and educational characteristics and the educational expectations of today's students, especially in terms of selection methods, forms and means of education. Organizational and pedagogical conditions of formation of readiness of primary school teachers in learning the basics of information and communication technologies were defined. Particular attention is given to the selection of the content of training students to use digital technologies in the educational process in primary school. Criteria and indicators by which the level of readiness assessment was conducted of primary school teachers in learning the basics of information and communication technologies are shown. The model was probed on the faculty of pre-school and primary education at the Kherson State University.

  4. Guiding research and practice: a conceptual model for aerobic exercise training in Alzheimer's disease.

    Science.gov (United States)

    Fang Yu

    2011-05-01

    Alzheimer's disease is a global, epidemic problem affecting mainly older adults with tremendous social and financial burdens. Older adults with Alzheimer's disease showed reduced physical activity and cognitive changes that are probably amenable to aerobic exercise training. The purpose of this paper is to develop a conceptual model to guide future aerobic exercise research and practice by synthesizing the current state of the science on aerobic exercise training in older adults with AD. The literature review found 12 qualified studies that met the eligibility criteria for inclusion in this review and revealed six constructs (aerobic exercise training, physical fitness, physical performance, activities of daily living limitations, cognition, and psychological and behavioral symptoms), which composed the Functional Impact of aerobic exercise Training in Alzheimer's disease (FIT-AD) model. The state of science on each construct in older adults with Alzheimer's disease is reviewed and summarized. The emerging evidence suggests that aerobic exercise training might positively impacts all five other constructs. The implications of the FIT-AD model for future research and practice are discussed highlighted.

  5. A murine model of muscle training by neuromuscular electrical stimulation.

    Science.gov (United States)

    Ambrosio, Fabrisia; Fitzgerald, G Kelley; Ferrari, Ricardo; Distefano, Giovanna; Carvell, George

    2012-05-09

    Neuromuscular electrical stimulation (NMES) is a common clinical modality that is widely used to restore (1), maintain (2) or enhance (3-5) muscle functional capacity. Transcutaneous surface stimulation of skeletal muscle involves a current flow between a cathode and an anode, thereby inducing excitement of the motor unit and the surrounding muscle fibers. NMES is an attractive modality to evaluate skeletal muscle adaptive responses for several reasons. First, it provides a reproducible experimental model in which physiological adaptations, such as myofiber hypertophy and muscle strengthening (6), angiogenesis (7-9), growth factor secretion (9-11), and muscle precursor cell activation (12) are well documented. Such physiological responses may be carefully titrated using different parameters of stimulation (for Cochrane review, see (13)). In addition, NMES recruits motor units non-selectively, and in a spatially fixed and temporally synchronous manner (14), offering the advantage of exerting a treatment effect on all fibers, regardless of fiber type. Although there are specified contraindications to NMES in clinical populations, including peripheral venous disorders or malignancy, for example, NMES is safe and feasible, even for those who are ill and/or bedridden and for populations in which rigorous exercise may be challenging. Here, we demonstrate the protocol for adapting commercially available electrodes and performing a NMES protocol using a murine model. This animal model has the advantage of utilizing a clinically available device and providing instant feedback regarding positioning of the electrode to elicit the desired muscle contractile effect. For the purpose of this manuscript, we will describe the protocol for muscle stimulation of the anterior compartment muscles of a mouse hindlimb.

  6. Maintenance training for laparoscopic suturing: the quest for the perfect timing and training model: a randomized trial

    NARCIS (Netherlands)

    van Bruwaene, Siska; Schijven, Marlies P.; Miserez, Marc

    2013-01-01

    Although excellent training programs exist for acquiring the challenging skill required in laparoscopic suturing, without subsequent reinforcement, performance is prone to decay. Therefore, maintenance training is proposed to ensure better skill retention. This study aimed to elucidate the ideal

  7. A model for training and evaluation of myringotomy and tube placement skills.

    Science.gov (United States)

    Malekzadeh, Sonya; Hanna, Glenn; Wilson, Brette; Pehlivanova, Marieta; Milmoe, Gregory

    2011-07-01

    Simulation is emerging as a mandatory component of surgical training and a means of demonstrating surgical competency. We designed a cost-effective, low-fidelity model to further acquisition of technical skills related to myringotomy and ventilation tube insertion (M&T). The purpose of the study was to examine the skills trainer as a method of assessment to evaluate competency, timeliness, and procedure confidence in junior residents. Prospective, randomized. A simplistic M&T skills box was developed. General surgery interns (n = 20) with no prior procedure training were randomized to receive either didactic instruction or skills training using the model. One hour of lecture or technical skills training was provided to each group. A blinded examiner evaluated the subjects in both groups before and after training. Performance was measured using a global rating scale, task-specific checklist, and time-to-completion. Pre- and postsession questionnaires assessed procedure confidence. Analysis revealed a trend toward improvement in global rating scores between groups. There was a statistically significant difference in time improvement between groups (P = .0211). The skills lab group felt they could perform the procedure faster and with improved abilities, as compared to the didactic group (P = .0069 and 0.0007, respectively). Junior surgical residents performed an M&T procedure using a novel, low-cost model. This study demonstrated the skills lab's positive effect on training as measured by global rating scale, time-to-completion, and overall resident confidence. We anticipate its application to be valuable not only in training residents but also in assessing competency. Copyright © 2011 The American Laryngological, Rhinological, and Otological Society, Inc.

  8. FLS and FES: comprehensive models of training and assessment.

    Science.gov (United States)

    Vassiliou, Melina C; Dunkin, Brian J; Marks, Jeffrey M; Fried, Gerald M

    2010-06-01

    The Fundamentals of Laparoscopic surgery (FLS) is a validated program for the teaching and evaluation of the basic knowledge and skills required to perform laparoscopic surgery. The educational component includes didactic, Web-based material and a simple, affordable physical simulator with specific tasks and a recommended curriculum. FLS certification requires passing a written multiple-choice examination and a proctored manual skills examination in the FLS simulator. The metrics for the FLS program have been rigorously validated to meet the highest educational standards, and certification is now a requirement for the American Board of Surgery. This article summarizes the validation process and the FLS-related research that has been done to date. The Fundamentals of Endoscopic Surgery is a program modeled after FLS with a similar mission for flexible endoscopy. It is currently in the final stages of development and will be launched in April 2010. The program also includes learning and assessment components, and is undergoing the same meticulous validation process as FLS. These programs serve as models for the creation of simulation-based tools to teach skills and assess competence with the intention of optimizing patient safety and the quality of surgical education. Copyright 2010 Elsevier Inc. All rights reserved.

  9. Forecasting of ozone level in time series using MLP model with a novel hybrid training algorithm

    Science.gov (United States)

    Wang, Dong; Lu, Wei-Zhen

    As far as the impact of tropospheric ozone (O 3) on human heath and plant life are concerned, forecasting its daily maximum level is of great importance in Hong Kong as well as other metropolises in the world. This paper proposed a multi-layer perceptron (MLP) model with a novel hybrid training method to perform the forecasting task. The training method synergistically couples a stochastic particle swarm optimization (PSO) algorithm and a deterministic Levenberg-Marquardt (LM) algorithm, which aims at exploiting the advantage of both. The performance of such a hybrid model is further compared with ones obtained by the MLP model trained individually by these two training methods mentioned above. Based on original data collected from two typical monitoring sites with different O 3 formation and transportation mechanism, the simulation results show that the hybrid model is more robust and efficient than the other two models by not only producing good results during non-episodes but also providing better consistency with the original data during episodes.

  10. Cost-efficiency assessment of 3 different pediatric first-aid training models for caregivers and teachers in Shanghai.

    Science.gov (United States)

    Li, Feng; Jiang, Fan; Jin, Xing-Ming; Shen, Xiao-Ming

    2011-05-01

    The object of this study was to assess, in cost-effective measures, 3 different models for pediatric first-aid training among caregivers and teachers. Quasi-experimental design was used. A stratified random sampling method was used to obtain 1282 teachers working at nurseries and kindergartens in Shanghai that consists of 18 districts and 1 county. One thousand two hundred eighty-two teachers were allocated randomly to the 3 models of training: 441 to interactive training model (group A), 441 to lecture-based training model (group B), and 400 to video instruction training model (group C). The first-aid knowledge in the 3 models was evaluated before and after the training. There was a statistical significance in the results of postassessment among the 3 training models. In group A, 329 (87.3%) trainees passed the course; in group B, 294 (81.7%) passed; and in group C, 262 (79.4%) passed. The total cost of group A was ¥2361 per edition, the total cost of group B was ¥1955 per edition, and the total cost of group C was ¥1064 per edition (P training model may slightly increase the rate of trainees who passed the course, the cost-effectiveness of video instruction training model is clearly superior.

  11. COMPLEX SIMULATION MODEL OF TRAIN BREAKING-UP PROCESS AT THE HUMPS

    Directory of Open Access Journals (Sweden)

    E. B. Demchenko

    2015-11-01

    Full Text Available Purpose. One of the priorities of station sorting complex functioning improvement is the breaking-up process energy consumptions reduction, namely: fuel consumption for train pushing and electric energy consumption for cut braking. In this regard, an effective solution of the problem of energy consumption reduction at breaking-up subsystem requires a comprehensive handling of train pushing and cut rolling down processes. At the same time, the analysis showed that the current task of pushing process improvement and cut rolling down effectiveness increase are solved separately. To solve this problem it is necessary to develop the complex simulation model of train breaking up process at humps. Methodology. Pushing process simulation was done based on adapted under the shunting conditions traction calculations. In addition, the features of shunting locomotives work at the humps were taken into account. In order to realize the current pushing mode the special algorithm of hump locomotive controlling, which along with the safety shunting operation requirements takes into account behavioral factors associated with engineer control actions was applied. This algorithm provides train smooth acceleration and further movement with speed, which is close to the set speed. Hump locomotive fuel consumptions were determined based on the amount of mechanical work performed by locomotive traction. Findings. The simulation model of train pushing process was developed and combined with existing cut rolling down model. Cut initial velocity is determined during simulation process. The obtained initial velocity is used for further cut rolling process modeling. In addition, the modeling resulted in sufficiently accurate determination of the fuel rates consumed for train breaking-up. Originality. The simulation model of train breaking-up process at the humps, which in contrast to the existing models allows reproducing complexly all the elements of this process in detail

  12. Teacher-made models: the answer for medical skills training in developing countries?

    Science.gov (United States)

    Tran, Trung Q; Scherpbier, Albert; Van Dalen, Jan; Wright, Pamela E

    2012-10-19

    The advantages of using simulators in skills training are generally recognized, but simulators are often too expensive for medical schools in developing countries. Cheaper locally-made models (or part-task trainers) could be the answer, especially when teachers are involved in design and production (teacher-made models, TM). We evaluated the effectiveness of a TM in training and assessing intravenous injection skills in comparison to an available commercial model (CM) in a randomized, blind, pretest-posttest study with 144 undergraduate nursing students. All students were assessed on both the TM and the CM in the pre-test and post-test. After the post-test the students were also assessed while performing the skill on real patients. Differences in the mean scores pre- and post-test were marked in all groups. Training with TM or CM improved student scores substantially but there was no significant difference in mean scores whether students had practiced on TM or CM. Students who practiced on TM performed better on communication with the patient than did students who practiced on CM. Decreasing the ratio of students per TM model helped to increase practice opportunities but did not improve student's mean scores. The result of the assessment on both the TM and the CM had a low correlation with the results of the assessment on real persons. The TM appears to be an effective alternative to CM for training students on basic IV skills, as students showed similar increases in performance scores after training on models that cost considerably less than commercially available models. These models could be produced using locally available materials in most countries, including those with limited resources to invest in medical education and skills laboratories.

  13. Effect of practical training on the learning motivation profile of Japanese pharmacy students using structural equation modeling

    OpenAIRE

    Yamamura, Shigeo; Takehira, Rieko

    2017-01-01

    Purpose To establish a model of Japanese pharmacy students’ learning motivation profile and investigate the effects of pharmaceutical practical training programs on their learning motivation. Methods The Science Motivation Questionnaire II was administered to pharmacy students in their 4th (before practical training), 5th (before practical training at clinical sites), and 6th (after all practical training) years of study at Josai International University in April, 2016. Factor analysis and mu...

  14. Using 3D Printing (Additive Manufacturing) to Produce Low-Cost Simulation Models for Medical Training.

    Science.gov (United States)

    Lichtenberger, John P; Tatum, Peter S; Gada, Satyen; Wyn, Mark; Ho, Vincent B; Liacouras, Peter

    2018-03-01

    This work describes customized, task-specific simulation models derived from 3D printing in clinical settings and medical professional training programs. Simulation models/task trainers have an array of purposes and desired achievements for the trainee, defining that these are the first step in the production process. After this purpose is defined, computer-aided design and 3D printing (additive manufacturing) are used to create a customized anatomical model. Simulation models then undergo initial in-house testing by medical specialists followed by a larger scale beta testing. Feedback is acquired, via surveys, to validate effectiveness and to guide or determine if any future modifications and/or improvements are necessary. Numerous custom simulation models have been successfully completed with resulting task trainers designed for procedures, including removal of ocular foreign bodies, ultrasound-guided joint injections, nerve block injections, and various suturing and reconstruction procedures. These task trainers have been frequently utilized in the delivery of simulation-based training with increasing demand. 3D printing has been integral to the production of limited-quantity, low-cost simulation models across a variety of medical specialties. In general, production cost is a small fraction of a commercial, generic simulation model, if available. These simulation and training models are customized to the educational need and serve an integral role in the education of our military health professionals.

  15. Model technical and tactical training karate «game» manner of conducting a duel

    Directory of Open Access Journals (Sweden)

    Natalya Boychenko

    2015-04-01

    Full Text Available Purpose: optimization of technical and tactical training karate «gaming» the manner of conducting a duel. Material and Methods: analysis and compilation of scientific and methodological literature, interviews with coaches for shock combat sports, video analysis techniques, teacher observations. Results: the model of technical and tactical training karate «game» manner of conducting a duel. Selection was done complexes jobs matching techniques to improve athletes 'game' in the manner of conducting a duel «Kyokushin» karate. Conclusion: the model of technical and tactical training fighters "game" manner of conducting a duel, which reveals the particular combination technique karate style «Kyokushin». Selection was done complexes jobs matching techniques to improve athletes 'game' in the manner of conducting a duel «Kyokushin» karate, aimed at improving the combinations with the action on the response of the enemy.

  16. Comparison of self-efficacy and its improvement after artificial simulator or live animal model emergency procedure training.

    Science.gov (United States)

    Hall, Andrew B; Riojas, Ramon; Sharon, Danny

    2014-03-01

    The objective of this study is to compare post-training self-efficacy between artificial simulators and live animal training for the performance of emergency medical procedures. Volunteer airmen of the 81st Medical Group, without prior medical procedure training, were randomly assigned to two experimental arms consisting of identical lectures and training of diagnostic peritoneal lavage, thoracostomy (chest tube), and cricothyroidotomy on either the TraumaMan (Simulab Corp., Seattle, Washington) artificial simulator or a live pig (Sus scrofa domestica) model. Volunteers were given a postlecture and postskills training assessment of self-efficacy. Twenty-seven volunteers that initially performed artificial simulator training subsequently underwent live animal training and provided assessments comparing both modalities. The results were first, postskills training self-efficacy scores were significantly higher than postlecture scores for either training mode and for all procedures (p self-efficacy scores were not statistically different between live animal and artificial simulator training for diagnostic peritoneal lavage (p = 0.555), chest tube (p = 0.486), and cricothyroidotomy (p = 0.329). Finally, volunteers undergoing both training modalities indicated preference for live animal training (p self-efficacy after initial training, but there is a preference in using a live animal model to achieve those skills. Reprint & Copyright © 2014 Association of Military Surgeons of the U.S.

  17. Validation of a model of intensive training in digestive laparoscopic surgery.

    Science.gov (United States)

    Enciso, Silvia; Díaz-Güemes, Idoia; Usón, Jesús; Sánchez-Margallo, Francisco Miguel

    2016-02-01

    Our objective was to assess a laparoscopic training model for general surgery residents. Twelve general surgery residents carried out a training program, consisting of a theoretical session (one hour) and a hands-on session on simulator (7 h) and on animal model (13 h). For the first and last repetitions of simulator tasks and the Nissen fundoplication technique, time and scores from the global rating scale objective structured assessment of technical skills (OSATS) were registered. Before and after the course, participants performed 4 tasks on the virtual reality simulator LAPMentor™: 1) hand-eye coordination, 2) hand-hand coordination, 3) transference of objects and 4) cholecystectomy task, registering time and movement metrics. Moreover, the residents completed a questionnaire related to the training components on a 5-point rating scale. The last repetition of the tasks and the Nissen fundoplication technique were performed faster and with a higher OSATS score. After the course, the participants performed all LAPMentor™ tasks faster, increasing the speed of movements in all tasks. Number of movements decreased in tasks 2, 3 and 4; as well as path length in tasks 2 and 4. Training components were positively rated by residents, being the suture task the aspect best rated (4.90 ± 0.32). This training model in digestive laparoscopic surgery has demonstrated to be valid for the improvement of basic and advanced skills of general surgery residents. Intracorporeal suturing and the animal model were the best rated training elements. Copyright © 2015 AEC. Publicado por Elsevier España, S.L.U. All rights reserved.

  18. Dwell Time Modelling and Optimized Simulations for Crowded Rail Transit Lines Based on Train Capacity

    Directory of Open Access Journals (Sweden)

    Zhibin Jiang

    2015-04-01

    Full Text Available Understanding the nature of rail transit dwell time has potential benefits for both the users and the operators. Crowded passenger trains cause longer dwell times and may prevent some passengers from boarding the first available train that arrives. Actual dwell time and the process of passenger alighting and boarding are interdependent through the sequence of train stops and propagated delays. A comprehensive and feasible dwell time simulation model was developed and optimized to address the problems associated with scheduled timetables. The paper introduces the factors that affect dwell time in urban rail transit systems, including train headway, the process and number of passengers alighting and boarding the train, and the inability of train doors to properly close the first time because of overcrowded vehicles. Finally, based on a time-driven micro-simulation system, Shanghai rail transit Line 8 is used as an example to quantify the feasibility of scheduled dwell times for different stations, directions of travel and time periods, and a proposed dwell time during peak hours in several crowded stations is presented according to the simulation results.

  19. A Two-Channel Training Algorithm for Hidden Markov Model and Its Application to Lip Reading

    Directory of Open Access Journals (Sweden)

    Foo Say Wei

    2005-01-01

    Full Text Available Hidden Markov model (HMM has been a popular mathematical approach for sequence classification such as speech recognition since 1980s. In this paper, a novel two-channel training strategy is proposed for discriminative training of HMM. For the proposed training strategy, a novel separable-distance function that measures the difference between a pair of training samples is adopted as the criterion function. The symbol emission matrix of an HMM is split into two channels: a static channel to maintain the validity of the HMM and a dynamic channel that is modified to maximize the separable distance. The parameters of the two-channel HMM are estimated by iterative application of expectation-maximization (EM operations. As an example of the application of the novel approach, a hierarchical speaker-dependent visual speech recognition system is trained using the two-channel HMMs. Results of experiments on identifying a group of confusable visemes indicate that the proposed approach is able to increase the recognition accuracy by an average of 20% compared with the conventional HMMs that are trained with the Baum-Welch estimation.

  20. An instructional model for training competence in solving clinical problems.

    Science.gov (United States)

    Ramaekers, Stephan P J; van Beukelen, Peter; Kremer, Wim D J; van Keulen, Hanno; Pilot, Albert

    2011-01-01

    We examined the design of a course that aims to ease the transition from pre-clinical learning into clinical work. This course is based on the premise that many of the difficulties with which students are confronted in this transition result from a lack of experience in applying knowledge in real practice situations. It is focused on the development of competence in solving clinical problems; uses an instructional model with alternating clinical practicals, demonstrations, and tutorials; and extends throughout the last pre-clinical year. We used a "proof-of-concept" approach to establish whether the core principles of the course design are feasible with regard to achieving the intended results. With the learning functions and processes as a frame of reference, retrospective analysis of the course's design features shows that this design matches the conditions from theories of the development of competence in solving clinical problems and instructional design. Three areas of uncertainty in the design are identified: the quality of the cases (information, openness), effective teaching (student and teacher roles), and adjustment to the development of competence (progress, coherence).

  1. Online Video-Based Training in the Use of Hydrologic Models: A Case Example Using SWAT

    Science.gov (United States)

    Frankenberger, J.

    2009-12-01

    Hydrologic models are increasingly important tools in public decision-making. For example, watershed models are used to develop Total Maximum Daily Load (TMDL) plans, quantify pollutant loads, and estimate the effects of watershed restoration efforts funded by the public. One widely-used tool is the Soil and Water Assessment Tool (SWAT), which has been applied by state and federal agencies, consultants, and university researchers to assess sources of nonpoint source pollution and the effects of potential solutions, and used in testimony in at least one lawsuit. The SWAT model has the capability to evaluate the relative effects of different management scenarios on water quality, sediment, and agricultural chemical yield at the watershed scale. As with all models, the model user and the decisions that s/he makes in the modeling process are important determinants of model performance. The SWAT model has an open structure, leaving most decisions up to the model user, which was especially appropriate when the model was primarily used in research by highly-experienced modelers. However, as the model has become more widely applied in planning and assessment, by people who may have limited hydrology background and modeling knowledge, the possibility that users may be using the model inconsistently or even incorrectly becomes a concern. Consistent training can lead to a minimum standard of knowledge that model users are expected to have, and therefore to higher use of best practices in modeling efforts. In addition, widespread availability of training can lead to better decisions about when and where using the model is appropriate, and what level of data needs to be available for confidence in predictions. Currently, most training in model use takes place in occasional face-to-face workshops, courses offered at a few universities, and a short tutorial available in the manual. Many new users simply acquire the model and learn from the manual, other users, trial and error

  2. "Just-In-Time" Simulation Training Using 3-D Printed Cardiac Models After Congenital Cardiac Surgery.

    Science.gov (United States)

    Olivieri, Laura J; Su, Lillian; Hynes, Conor F; Krieger, Axel; Alfares, Fahad A; Ramakrishnan, Karthik; Zurakowski, David; Marshall, M Blair; Kim, Peter C W; Jonas, Richard A; Nath, Dilip S

    2016-03-01

    High-fidelity simulation using patient-specific three-dimensional (3D) models may be effective in facilitating pediatric cardiac intensive care unit (PCICU) provider training for clinical management of congenital cardiac surgery patients. The 3D-printed heart models were rendered from preoperative cross-sectional cardiac imaging for 10 patients undergoing congenital cardiac surgery. Immediately following surgical repair, a congenital cardiac surgeon and an intensive care physician conducted a simulation training session regarding postoperative care utilizing the patient-specific 3D model for the PCICU team. After the simulation, Likert-type 0 to 10 scale questionnaire assessed participant perception of impact of the training session. Seventy clinicians participated in training sessions, including 22 physicians, 38 nurses, and 10 ancillary care providers. Average response to whether 3D models were more helpful than standard hand off was 8.4 of 10. Questions regarding enhancement of understanding and clinical ability received average responses of 9.0 or greater, and 90% of participants scored 8 of 10 or higher. Nurses scored significantly higher than other clinicians on self-reported familiarity with the surgery (7.1 vs. 5.8; P = .04), clinical management ability (8.6 vs. 7.7; P = .02), and ability enhancement (9.5 vs. 8.7; P = .02). Compared to physicians, nurses and ancillary providers were more likely to consider 3D models more helpful than standard hand off (8.7 vs. 7.7; P = .05). Higher case complexity predicted greater enhancement of understanding of surgery (P = .04). The 3D heart models can be used to enhance congenital cardiac critical care via simulation training of multidisciplinary intensive care teams. Benefit may be dependent on provider type and case complexity. © The Author(s) 2016.

  3. Clinical value of a self-designed training model for pinpointing and puncturing trigeminal ganglion.

    Science.gov (United States)

    He, Yu-Quan; He, Shu; Shen, Yun-Xia; Qian, Cheng

    2014-04-01

    OBJECTIVES. A training model was designed for learners and young physicians to polish their skills in clinical practices of pinpointing and puncturing trigeminal ganglion. METHODS. A head model, on both cheeks of which the deep soft tissue was replaced by stuffed organosilicone and sponge while the superficial soft tissue, skin and the trigeminal ganglion were made of organic silicon rubber for an appearance of real human being, was made from a dried skull specimen and epoxy resin. Two physicians who had experiences in puncturing foramen ovale and trigeminal ganglion were selected to test the model, mainly for its appearance, X-ray permeability, handling of the puncture, and closure of the puncture sites. Four inexperienced physicians were selected afterwards to be trained combining Hartel's anterior facial approach with the new method of real-time observation on foramen ovale studied by us. RESULTS. Both appearance and texture of the model were extremely close to those of a real human. The fact that the skin, superficial soft tissue, deep muscles of the cheeks, and the trigeminal ganglion made of organic silicon rubber all had great elasticity resulted in quick closure and sealing of the puncture sites. The head model made of epoxy resin had similar X-ray permeability to a human skull specimen under fluoroscopy. The soft tissue was made of radiolucent material so that the training can be conducted with X-ray guidance. After repeated training, all the four young physicians were able to smoothly and successfully accomplish the puncture. CONCLUSION. This self-made model can substitute for cadaver specimen in training learners and young physicians on foramen ovale and trigeminal ganglion puncture. It is very helpful for fast learning and mastering this interventional operation skill, and the puncture accuracy can be improved significantly with our new method of real-time observation on foramen ovale.

  4. Validation of a live animal model for training in endoscopic hemostasis of upper gastrointestinal bleeding ulcers.

    Science.gov (United States)

    Camus, M; Marteau, P; Pocard, M; Bal Dit Sollier, C; Lavergne-Slove, A; Thibault, A; Lecleire, S; Vienne, A; Coffin, B; Drouet, L; Dray, X

    2013-06-01

    The management of upper gastrointestinal bleeding requires training of the endoscopist. We aimed to validate a live animal model of bleeding ulcers for training in endoscopic hemostasis. Bleeding ulcers were created by repeated grasp-and-snare gastric mucosectomies in pigs rendered "bleeders" by preadministration of clopidogrel, aspirin, and unfractionated heparin. The feasibility and reproducibility of the model (proportion of bleeding ulcers, number of ulcers per animal, and time needed to produce a bleeding ulcer) were prospectively evaluated in six animals. Ten endoscopic experts assessed the similarity of this pig model to human bleeding ulcers (four-point Likert scale). The training capabilities of the model for hemostatic techniques (needle injection, bipolar electrocoagulation, and hemoclipping) were evaluated in 46 fellows (four-point Likert scale). A total of 53 gastric ulcers were created in 6 animals (8.8 ± 1.5 ulcers/animal). Successful active ulcer bleeding (Forrest Ib) was achieved in 96.2 % of cases. Bleeding was moderate to abundant in 79 % of cases. Ulcerations consistently reached the submucosal layer. The mean (± SD) time taken to create a bleeding ulcer was 3.8 ± 0.6 minutes. Endoscopic experts assessed the realism of the ulcers and bleeding at 3.2 ± 0.7 and 3.6 ± 0.7 respectively on a four-point Likert scale. The training significantly improved the endoscopic skills of the 46 fellows (P < 0.0001) in all hemostatic techniques. The live porcine model of bleeding ulcers was demonstrated to be realistic, reproducible, feasible, time efficient, and easy to perform. It was favorably assessed as an excellent model for training in endoscopic treatment of bleeding ulcers. © Georg Thieme Verlag KG Stuttgart · New York.

  5. Building interdisciplinary leadership skills among health practitioners in the 21st century: an innovative training model

    Directory of Open Access Journals (Sweden)

    Preeti eNegandhi

    2015-10-01

    Full Text Available Transformational learning is the focus of 21st century global educational reforms. In India there is a need to amalgamate the skills and knowledge of medical, nursing and public health practitioners and to develop robust leadership competencies among them. This initiative proposed to identify interdisciplinary leadership competencies among Indian health practitioners, and to develop a training program for interdisciplinary leadership skills through an Innovation Collaborative. Medical, nursing and public health institutions partnered in this endeavour. An exhaustive literature search was undertaken to identify leadership competencies in these three professions. Published evidence was utilized in searching for the need for interdisciplinary training of health practitioners, including current scenarios in inter-professional health education and the key competencies required. The interdisciplinary leadership competencies identified were: self-awareness, vision, self-regulation, motivation, decisiveness, integrity, interpersonal communication skills, strategic planning, team-building, innovation and being an effective change agent. Subsequently, a training program was developed and three training sessions were piloted with 66 participants. Each cohort comprised of a mix of participants from different disciplines. The pilot training guided the development of a training model for building interdisciplinary leadership skills and organizing interdisciplinary leadership workshops. The need for interdisciplinary leadership competencies is recognized. The long-term objective of the training model is integration into the regular medical, nursing and public health curricula, with the aim of developing interdisciplinary leadership skills among them. Although challenging, formal incorporation of leadership skills into health professional education is possible within the interdisciplinary classroom setting using principles of transformative learning.

  6. Microvascular anastomosis simulation using a chicken thigh model: Interval versus massed training.

    Science.gov (United States)

    Schoeff, Stephen; Hernandez, Brian; Robinson, Derek J; Jameson, Mark J; Shonka, David C

    2017-11-01

    To compare the effectiveness of massed versus interval training when teaching otolaryngology residents microvascular suturing on a validated microsurgical model. Otolaryngology residents were placed into interval (n = 7) or massed (n = 7) training groups. The interval group performed three separate 30-minute practice sessions separated by at least 1 week, and the massed group performed a single 90-minute practice session. Both groups viewed a video demonstration and recorded a pretest prior to the first training session. A post-test was administered following the last practice session. At an academic medical center, 14 otolaryngology residents were assigned using stratified randomization to interval or massed training. Blinded evaluators graded performance using a validated microvascular Objective Structured Assessment of Technical Skill tool. The tool is comprised of two major components: task-specific score (TSS) and global rating scale (GRS). Participants also received pre- and poststudy surveys to compare subjective confidence in multiple aspects of microvascular skill acquisition. Overall, all residents showed increased TSS and GRS on post- versus pretest. After completion of training, the interval group had a statistically significant increase in both TSS and GRS, whereas the massed group's increase was not significant. Residents in both groups reported significantly increased levels of confidence after completion of the study. Self-directed learning using a chicken thigh artery model may benefit microsurgical skills, competence, and confidence for resident surgeons. Interval training results in significant improvement in early development of microvascular anastomosis skills, whereas massed training does not. NA. Laryngoscope, 127:2490-2494, 2017. © 2017 The American Laryngological, Rhinological and Otological Society, Inc.

  7. Mentor Teacher Training: A Hybrid Model to Promote Partnering in Candidate Development

    Science.gov (United States)

    Childre, Amy L.; Van Rie, Ginny L.

    2015-01-01

    In order to promote high quality clinical experiences for teacher candidates, one of the recent changes to educator preparation accreditation standards specifically targeted clinical faculty qualifications. Qualified mentor teachers are critical clinical faculty because they serve as the model for training practices for teacher candidates, the…

  8. Training Public School Special Educators to Implement Two Functional Analysis Models

    Science.gov (United States)

    Rispoli, Mandy; Neely, Leslie; Healy, Olive; Gregori, Emily

    2016-01-01

    The purpose of this study was to investigate the efficacy and efficiency of a training package to teach public school special educators to conduct functional analyses of challenging behavior. Six public school educators were divided into two cohorts of three and were taught two models of functional analysis of challenging behavior: traditional and…

  9. Computational Model of a Positive BDNF Feedback Loop in Hippocampal Neurons Following Inhibitory Avoidance Training

    Science.gov (United States)

    Zhang, Yili; Smolen, Paul; Alberini, Cristina M.; Baxter, Douglas A.; Byrne, John H.

    2016-01-01

    Inhibitory avoidance (IA) training in rodents initiates a molecular cascade within hippocampal neurons. This cascade contributes to the transition of short- to long-term memory (i.e., consolidation). Here, a differential equation-based model was developed to describe a positive feedback loop within this molecular cascade. The feedback loop begins…

  10. Modelling Beginning Teachers' Assessment Literacy: The Contribution of Training, Self-Efficacy, and Conceptions of Assessment

    Science.gov (United States)

    Levy-Vered, Adi; Alhija, Fadia Nasser-Abu

    2015-01-01

    Teachers devote a substantial amount of their time to assessment-related activities. This study aimed to describe beginning teachers' assessment literacy and to examine a structural model that binds assessment literacy with assessment training, self-efficacy, and conceptions of assessment. Data were collected from 327 Israeli inductee teachers and…

  11. A Field-Based Deaf Education Teacher Training Model: Does It Make a Difference?

    Science.gov (United States)

    Hadadian, Azar; Koch, Kourtland; Merbler, John

    2012-01-01

    This article provides professional perspective of a teacher-training model which relies heavily on an intensive, culturally immersive field experience for the teacher of the Deaf and hard of hearing. Survey results were based upon 21 past participants concerning their perceptions during their one-year internship experience at Indiana School for…

  12. Learn by Doing: A Collaborative Model for Training Teacher-Candidate Students in Autism

    Science.gov (United States)

    Ruef, Michael B.; Nefdt, Nicolette; Openden, Daniel; Elmensdorp, Sharon; Harris, Kathleen C.; Robinson, Suzanne

    2009-01-01

    With the large number of students with autism entering the educational system, the need for empirically supported treatment (EST) in the classroom and special education teachers with training in autism and ESTs is necessary now more than ever. This paper describes a collaborative model between 2 universities aimed at providing teacher-candidate…

  13. Problems of training chemical engineers of the European model under Bologna process

    Directory of Open Access Journals (Sweden)

    S. Rakhmadiyeva

    2012-03-01

    Full Text Available Article deals with problems of training for chemical and petrochemical industries in the western three-stage model of the Bologna process and curriculum development of educational programs in chemical engineering in the framework of the EU Tempus.

  14. Foreign Experience in Training Future Engineering Educators for Modeling Technological Processes

    Science.gov (United States)

    Bokhonko, Yevhen

    2017-01-01

    The article deals with the study of foreign experience in training engineering educators for modeling technological processes. It has been stated that engineering education is a field that is being dramatically developed taking into account the occurring changes in educational paradigms, global higher education space, national higher education…

  15. Accountability in Training Transfer: Adapting Schlenker's Model of Responsibility to a Persistent but Solvable Problem

    Science.gov (United States)

    Burke, Lisa A.; Saks, Alan M.

    2009-01-01

    Decades have been spent studying training transfer in organizational environments in recognition of a transfer problem in organizations. Theoretical models of various antecedents, empirical studies of transfer interventions, and studies of best practices have all been advanced to address this continued problem. Yet a solution may not be so…

  16. Training Inference Making Skills Using a Situation Model Approach Improves Reading Comprehension

    Directory of Open Access Journals (Sweden)

    Lisanne eBos

    2016-02-01

    Full Text Available This study aimed to enhance third and fourth graders’ text comprehension at the situation model level. Therefore, we tested a reading strategy training developed to target inference making skills, which are widely considered to be pivotal to situation model construction. The training was grounded in contemporary literature on situation model-based inference making and addressed the source (text-based versus knowledge-based, type (necessary versus unnecessary for (re-establishing coherence, and depth of an inference (making single lexical inferences versus combining multiple lexical inferences, as well as the type of searching strategy (forward versus backward. Results indicated that, compared to a control group (n = 51, children who followed the experimental training (n = 67 improved their inference making skills supportive to situation model construction. Importantly, our training also resulted in increased levels of general reading comprehension and motivation. In sum, this study showed that a ‘level of text representation’-approach can provide a useful framework to teach inference making skills to third and fourth graders.

  17. Improving Robustness of Deep Neural Network Acoustic Models via Speech Separation and Joint Adaptive Training.

    Science.gov (United States)

    Narayanan, Arun; Wang, DeLiang

    2015-01-01

    Although deep neural network (DNN) acoustic models are known to be inherently noise robust, especially with matched training and testing data, the use of speech separation as a frontend and for deriving alternative feature representations has been shown to improve performance in challenging environments. We first present a supervised speech separation system that significantly improves automatic speech recognition (ASR) performance in realistic noise conditions. The system performs separation via ratio time-frequency masking; the ideal ratio mask (IRM) is estimated using DNNs. We then propose a framework that unifies separation and acoustic modeling via joint adaptive training. Since the modules for acoustic modeling and speech separation are implemented using DNNs, unification is done by introducing additional hidden layers with fixed weights and appropriate network architecture. On the CHiME-2 medium-large vocabulary ASR task, and with log mel spectral features as input to the acoustic model, an independently trained ratio masking frontend improves word error rates by 10.9% (relative) compared to the noisy baseline. In comparison, the jointly trained system improves performance by 14.4%. We also experiment with alternative feature representations to augment the standard log mel features, like the noise and speech estimates obtained from the separation module, and the standard feature set used for IRM estimation. Our best system obtains a word error rate of 15.4% (absolute), an improvement of 4.6 percentage points over the next best result on this corpus.

  18. Video Modeling to Train Staff to Implement Discrete-Trial Instruction

    Science.gov (United States)

    Catania, Cynthia N.; Almeida, Daniel; Liu-Constant, Brian; Reed, Florence D. DiGennaro

    2009-01-01

    Three new direct-service staff participated in a program that used a video model to train target skills needed to conduct a discrete-trial session. Percentage accuracy in completing a discrete-trial teaching session was evaluated using a multiple baseline design across participants. During baseline, performances ranged from a mean of 12% to 63%…

  19. Facing up to 'challenging behaviour': a model for training in staff-client interaction.

    Science.gov (United States)

    Farrell, Gerald A; Shafiei, Touran; Salmon, Peter

    2010-07-01

    This paper draws on theory and evidence to develop a conceptual staff training model for the management of 'challenging behaviour'. Staff working with clients who are experienced as challenging commonly report negative feelings such as anxiety, anger, guilt, fear, self-blame and powerlessness, as well as dissatisfaction with their jobs. Current training programmes in challenging behaviour offer a 'smorgasbord' of content, without a clearly defined conceptual framework. Medline and PsychInfo were searched for papers in English from 1998 to 2008, linking 'nurs*' to 'challenging behavio*' and its related terms. Additional hand-searching identified informative papers from disciplines outside nursing older than the search period. We developed an applied model for training educators in respect of challenging behaviours. The model directs educators to consider: the influence of the nurse, including their values, emotional processes and behavioural skills; features of the client; and features of the situation in which the behaviour occurs, including its culture and working practices and physical environment. The most striking implication of the model is that it explicitly recognizes the importance of domains of learning other than skill. This enables educators to find educationally appropriate responses to resource limitations that inevitably constrain training. Challenging behaviour should be considered as a product of several intertwined factors: the actors involved - nurses, clients and others - and the situation in which the behaviour occurs, including its culture and working practices and physical environment.

  20. A Structural Equation Modelling Approach for Massive Blended Synchronous Teacher Training

    Science.gov (United States)

    Kannan, Kalpana; Narayanan, Krishnan

    2015-01-01

    This paper presents a structural equation modelling (SEM) approach for blended synchronous teacher training workshop. It examines the relationship among various factors that influence the Satisfaction (SAT) of participating teachers. Data were collected with the help of a questionnaire from about 500 engineering college teachers. These teachers…