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Sample records for models ekf implementation

  1. 基于EKF-SLAM的AUV自主导航算法的多线程实现%Multithread Implementation of AUV Autonomous Navigation Technology Based on EKF-SLAM Algorithm

    Institute of Scientific and Technical Information of China (English)

    齐林庆

    2011-01-01

    针对海巡者号(C-RANGER) AUV平台以及适用于此平台的EKF-SLAM算法模型,为了提高算法的运算速度和系统的时效性,对EKF-SLAM算法进行了并发执行的可行性分析,并运用多线程技术对算法的实现进行了改进.为了验证效果做了测试实验.通过对实验结果的分析表明,采用多线程技术可以改善EKF-SLAM算法的效率和系统性能.%As far as the sea patrol(C-RANGER) AUV platform and the EKF-SLAM algorithm model which is applicable to the plalform in order to improve the operation speed of the algorithm and timeliness of the system, the feasibility of parallel execution of SLAM algorithm is analyzed, the multithreading technology is used to improve the implementation of algorithm, and many test experiments are performed to verify the experimental results . Through analysis of the experimental result, it is shown that multithread technology can improve the efficiency of the algorithm EKF-SLAM and performance of the system.

  2. Structural observability analysis and EKF based parameter estimation of building heating models

    Directory of Open Access Journals (Sweden)

    D.W.U. Perera

    2016-07-01

    Full Text Available Research for enhanced energy-efficient buildings has been given much recognition in the recent years owing to their high energy consumptions. Increasing energy needs can be precisely controlled by practicing advanced controllers for building Heating, Ventilation, and Air-Conditioning (HVAC systems. Advanced controllers require a mathematical building heating model to operate, and these models need to be accurate and computationally efficient. One main concern associated with such models is the accurate estimation of the unknown model parameters. This paper presents the feasibility of implementing a simplified building heating model and the computation of physical parameters using an off-line approach. Structural observability analysis is conducted using graph-theoretic techniques to analyze the observability of the developed system model. Then Extended Kalman Filter (EKF algorithm is utilized for parameter estimates using the real measurements of a single-zone building. The simulation-based results confirm that even with a simple model, the EKF follows the state variables accurately. The predicted parameters vary depending on the inputs and disturbances.

  3. A unified model for transfer alignment at random misalignment angles based on second-order EKF

    Science.gov (United States)

    Cui, Xiao; Mei, Chunbo; Qin, Yongyuan; Yan, Gongmin; Liu, Zhenbo

    2017-04-01

    In the transfer alignment process of inertial navigation systems (INSs), the conventional linear error model based on the small misalignment angle assumption cannot be applied to large misalignment situations. Furthermore, the nonlinear model based on the large misalignment angle suffers from redundant computation with nonlinear filters. This paper presents a unified model for transfer alignment suitable for arbitrary misalignment angles. The alignment problem is transformed into an estimation of the relative attitude between the master INS (MINS) and the slave INS (SINS), by decomposing the attitude matrix of the latter. Based on the Rodriguez parameters, a unified alignment model in the inertial frame with the linear state-space equation and a second order nonlinear measurement equation are established, without making any assumptions about the misalignment angles. Furthermore, we employ the Taylor series expansions on the second-order nonlinear measurement equation to implement the second-order extended Kalman filter (EKF2). Monte-Carlo simulations demonstrate that the initial alignment can be fulfilled within 10 s, with higher accuracy and much smaller computational cost compared with the traditional unscented Kalman filter (UKF) at large misalignment angles.

  4. A Multi-model EKF Integrated Navigation Algorithm for Deep Water AUV

    Directory of Open Access Journals (Sweden)

    Dongdong Li

    2016-01-01

    Full Text Available A novel integrated navigation algorithm, multi-model EKF (Extended Kalman Filter integrated navigation algorithm, is presented in this paper for the deep water autonomous underwater vehicle. When a deep water vehicle is performing tasks in the deep sea, the navigation error will accumulate over time, if it relies solely on its own inertial navigation system. In order to get a more accurate position for the deep water vehicle online, an integrated navigation system is constructed by adding the acoustic navigation system. And because it is difficult to establish the kinematic model and the measurement model accurately for the deep water vehicle in the underwater environment, we propose the Multi model EKF integrated navigation algorithm, and estimate the measurement errors of beacons online. Then we can estimate the position of the deep water vehicle more accurately. The new algorithm has been tested by both analyses and field experiment data (the lake and sea trial data, and results show that the multi-model EKF integrated navigation algorithm proposed in this paper significantly improves the navigation accuracy for the deep water vehicle.

  5. A Multi-Model EKF Integrated Navigation Algorithm for Deep Water AUV

    Directory of Open Access Journals (Sweden)

    Dongdong Li

    2016-01-01

    Full Text Available A novel integrated navigation algorithm, multi-model EKF (Extended Kalman Filter integrated navigation algorithm, is presented in this paper for the deep water autonomous underwater vehicle. When a deep water vehicle is performing tasks in the deep sea, the navigation error will accumulate over time, if it relies solely on its own inertial navigation system. In order to get a more accurate position for the deep water vehicle online, an integrated navigation system is constructed by adding the acoustic navigation system. And because it is difficult to establish the kinematic model and the measurement model accurately for the deep water vehicle in the underwater environment, we propose the Multi-model EKF integrated navigation algorithm, and estimate the measurement errors of beacons online. Then we can estimate the position of the deep water vehicle more accurately. The new algorithm has been tested by both analyses and field experiment data (the lake and sea trial data, and results show that the multi-model EKF integrated navigation algorithm proposed in this paper significantly improves the navigation accuracy for the deep water vehicle.

  6. SOC EKF Estimation based on a Second-order LiFePO4 Battery Model

    Directory of Open Access Journals (Sweden)

    Zheng Zhu

    2013-08-01

    Full Text Available An accurate battery State of Charge (SOC estimation has great significance in improving battery life and vehicle performance. An improved second-order battery model is proposed in this paper through quantities of LiFePO4 battery experiments. The parameters of the model were acquired by the HPPC composite pulse condition under different temperature, charging and discharging rates, SOC. Based on the model, battery SOC is estimated by Extended Kalman Filter (EKF. Comparison of three different pulse conditions shows that the average error of SOC estimation of this algorithm is about 4.2%. The improved model is able to reflect the dynamic performance of batteries suitably, and the SOC estimation algorithm is provided with higher accuracy and better dynamic adaptability.

  7. 基于EKF-RNN算法的抗震棒材性能预报模型研究%Study on prediction models of anti-knock steel bar quality based on EKF-RNN algorithm

    Institute of Scientific and Technical Information of China (English)

    顾力平

    2011-01-01

    以抗震棒材的C、Si、Mn、P四种化学元素及冷却速度、终轧温度为输入;抗拉强度、断面收缩率作为输出建立了热轧抗震棒材力学性能预报模型.提出了一种基于扩展卡尔曼滤波的回归神经网络权值训练算法(EKF-RNN),对抗震棒材性能预报模型进行权值训练.并与随机梯度法训练回归神经网络权值的算法进行比较,仿真结果表明,随机梯度法存在局部极小值、收敛速度慢,而扩张卡尔曼滤波算法很好地解决了这些问题,并得到了比较满意的结果,更具优越性.%A prediction model for hot rolling anti-knock steel bar property has been established with 4 chemical elements (C,Si,Mn,P),the cooling rate,the maximum temperature as input,and the tensile strength,the percentage of area reduction as output.Then an algorithm of recurrent neural network weight based on extended kalman filter trains (EKF-RNN )is proposed to carry out the weight training for model of predicting anti-knock steel bar property,which will be compared with the EKF-RNN algorithm trained by random gradient method.The simulation results show that the stochastic gradient method exists some problem such as local minima and slow convergence,while Extended Kalman filtering can solve it,which has obtained satisfied result.

  8. An Enhanced Error Model for EKF-Based Tightly-Coupled Integration of GPS and Land Vehicle’s Motion Sensors

    Directory of Open Access Journals (Sweden)

    Tashfeen B. Karamat

    2015-09-01

    Full Text Available Reduced inertial sensor systems (RISS have been introduced by many researchers as a low-cost, low-complexity sensor assembly that can be integrated with GPS to provide a robust integrated navigation system for land vehicles. In earlier works, the developed error models were simplified based on the assumption that the vehicle is mostly moving on a flat horizontal plane. Another limitation is the simplified estimation of the horizontal tilt angles, which is based on simple averaging of the accelerometers’ measurements without modelling their errors or tilt angle errors. In this paper, a new error model is developed for RISS that accounts for the effect of tilt angle errors and the accelerometer’s errors. Additionally, it also includes important terms in the system dynamic error model, which were ignored during the linearization process in earlier works. An augmented extended Kalman filter (EKF is designed to incorporate tilt angle errors and transversal accelerometer errors. The new error model and the augmented EKF design are developed in a tightly-coupled RISS/GPS integrated navigation system. The proposed system was tested on real trajectories’ data under degraded GPS environments, and the results were compared to earlier works on RISS/GPS systems. The findings demonstrated that the proposed enhanced system introduced significant improvements in navigational performance.

  9. Feature Selection Criteria for Real Time EKF-SLAM Algorithm

    Directory of Open Access Journals (Sweden)

    Fernando Auat Cheein

    2010-02-01

    Full Text Available This paper presents a seletion procedure for environmet features for the correction stage of a SLAM (Simultaneous Localization and Mapping algorithm based on an Extended Kalman Filter (EKF. This approach decreases the computational time of the correction stage which allows for real and constant-time implementations of the SLAM. The selection procedure consists in chosing the features the SLAM system state covariance is more sensible to. The entire system is implemented on a mobile robot equipped with a range sensor laser. The features extracted from the environment correspond to lines and corners. Experimental results of the real time SLAM algorithm and an analysis of the processing-time consumed by the SLAM with the feature selection procedure proposed are shown. A comparison between the feature selection approach proposed and the classical sequential EKF-SLAM along with an entropy feature selection approach is also performed.

  10. 基于线段特征匹配的EKF-SLAM算法%EKF-SLAM Algorithm Based on Line Segment Matching

    Institute of Scientific and Technical Information of China (English)

    张国良; 汤文俊; 敬斌; 程展欣

    2012-01-01

    针对EKF-SLAM算法在机器人被“绑架”时失效的问题,提出一种新的基于线段特征匹配的EKF-SLAM算法——EKFLineSLAM算法.该算法在线段特征观测模型和改进的基于逐点搜索的线段提取算法的基础上,将线段特征匹配引入EKF-SLAM算法,并对线段长度和姿态角进行EKF更新,创建环境的线段特征地图.在未知室内结构化环境中,将该算法与弱匹配EKFLineSLAM算法进行比较,验证了EKFLineSLAM算法在结构化环境中克服机器人“绑架”问题的可行性和有效性.%For the problem of EKF-SLAM algorithm being invalid when robot is kidnapped, a new EKF-SLAM algorithm called "EKF-LineSLAM Algorithm" based on line segment matching is presented. This algorithm is based on the line segment observation model, and the improved line segment extraction algorithm based on point by point search. It introduces the line segment match in the EKF-SLAM algorithm, and renews the line segment's length and posture angle by EKF to find the line segment characteristic map. Finally, the presented algorithm and the weak matching EKFLineSLAM algorithm are compared in an unknown structured indoor environment. The comparison results confirm the feasibility and the effectiveness of the EKFLineSLAM algorithm for the kidnapped robot problem in structured environments.

  11. EKF composition estimation and GMC control of a reactive distillation column

    Science.gov (United States)

    Tintavon, Sirivimon; Kittisupakorn, Paisan

    2017-08-01

    This research work proposes an extended Kalman filter (EKF) estimator to give estimates of product composition and a generic model controller (GMC) to control the temperature of a reactive distillation column (RDC). One of major difficulties to control the RDC is large time delays of product composition measurement. Therefore, the estimates of the product composition are needed and determined based on available and reliable measured tray temperature via the extended Kalman Filter (EKF). With these estimates, the GMC controller is applied to control the RDC's temperature. The performance of the EKF estimator under the GMC control is evaluated in various disturbances and set point change.

  12. Very-low speed control of PMSM based on EKF estimation with closed loop optimized parameters.

    Science.gov (United States)

    Xu, Dong; Zhang, Shaoguang; Liu, Jingmeng

    2013-11-01

    When calculating the speed from the position of permanent magnet synchronous motor (PMSM), the accuracy and real-time are limited by the precision of the sensor. This problem causes crawling and jitter at very-low speed. Using the angle from the position sensor, an extended Kalman filter (EKF) designed in dq-coordinate is presented to solve this problem. The usage of position sensor simplifies the model and improves the accuracy of speed estimation. Specially, a closed loop optimal (CLO) method is devised to overcome the difficulty to adjust the parameters of the EKF. The EKF is the feedback link of speed control, CLO method is derived from the perspective of the speed step response to optimize the measurement covariance matrix and the system covariance matrix of EKF. Simulation and experimental results, comparing the low-speed performance of the EKF and sensor feedback methods, prove the effectiveness of the method to adjust the parameters of EKF and the advantages in eliminating the low speed jitter.

  13. 基于组合EKF的自主水下航行器SLAM%SLAM of AUV Based on the Combined EKF

    Institute of Scientific and Technical Information of China (English)

    王宏健; 王晶; 边信黔; 傅桂霞

    2012-01-01

    A simultaneous localization and mapping (SLAM) algorithm based on the combined EKF (extended Kalman filter) of Sage-Husa adaptive EKF and strong tracking EKF is presented to solve the decrease of filtering accuracy of standard EKF when the statistical characteristics of noise are not accurate and the model builded can not match with the actual one completely. Firstly, the dynamic model, feature model and sensor measurement model of AUV (autonomous underwater vehicle) are set up. Then, feature extraction is implemented through Hough transform, and SLAM of AUV is realized with the combined EKF eventually. Simulation with trial data shows that the described method reduces the influence of both the time-variance of statistical characteristics of noise and the inaccuracy of model, and enhances the accuracy and robustness of SLAM system.%针对标准扩展卡尔曼滤波(EKF)在噪声统计特性不准确、系统模型与实际模型无法完全匹配情况下滤波精度严重下降的问题,提出了一种基于Sage-Husa自适应EKF和强跟踪EKF组合的SLAM(同步定位与地图构建)算法.首先建立了AUV(自主水下航行器)的动力学模型、特征模型以及传感器的测量模型,然后通过Hough变换进行特征提取,最终采用组合EKF实现了自主水下航行器的同步定位与地图构建.海试数据仿真试验表明本文所提方法降低了噪声统计特性时变以及模型不精确对系统的影响,提高了SLAM系统的精确性和鲁棒性.

  14. EKF-SLAM Algorithm with Constraints%添加约束的EKF-SLAM算法

    Institute of Scientific and Technical Information of China (English)

    陈家乾; 何衍; 蒋静坪

    2009-01-01

    In order to achieve good result,muhi-loop closure is necessary with the extended kalman filter approach to simultaneous localization and mapping (EKF-SLAM). This will not only waste lots of time and energy but also increase the possibility of robot fault. This paper presents a novel method which applies constraints to EKF-SLAM to improve estimate accuracy. The method determines the pair of landmarks by analyzing the eovariance matrix and applies the constraints constructed with distance measurement and prior global heading information to improve the estimate result of EKF-SLAM. The experiment results and corresponding analysis demonstrate the approach could achieve good mapping efficiency and accuracy simultaneously.%为了得到较高的估计精度,基于扩展卡尔曼滤波的同时定位与地图生成算法(EKF-SLAM)需要完成多次路径闭合.这不仅消耗大量的时间与能量,而且增大了机器人发生故障的概率.本文提出一种添加约束的EKF-SLAM算法.该算法通过分析协方差矩阵确定目标路标对,用测量信息与全局先验方向对原估计结果进行约束,能够极大改善估计效果,兼顾高效率与高精度.实验结果及其分析充分表明了算法的有效性.

  15. Inferring microbial interaction networks from metagenomic data using SgLV-EKF algorithm.

    Science.gov (United States)

    Alshawaqfeh, Mustafa; Serpedin, Erchin; Younes, Ahmad Bani

    2017-03-27

    Inferring the microbial interaction networks (MINs) and modeling their dynamics are critical in understanding the mechanisms of the bacterial ecosystem and designing antibiotic and/or probiotic therapies. Recently, several approaches were proposed to infer MINs using the generalized Lotka-Volterra (gLV) model. Main drawbacks of these models include the fact that these models only consider the measurement noise without taking into consideration the uncertainties in the underlying dynamics. Furthermore, inferring the MIN is characterized by the limited number of observations and nonlinearity in the regulatory mechanisms. Therefore, novel estimation techniques are needed to address these challenges. This work proposes SgLV-EKF: a stochastic gLV model that adopts the extended Kalman filter (EKF) algorithm to model the MIN dynamics. In particular, SgLV-EKF employs a stochastic modeling of the MIN by adding a noise term to the dynamical model to compensate for modeling uncertainties. This stochastic modeling is more realistic than the conventional gLV model which assumes that the MIN dynamics are perfectly governed by the gLV equations. After specifying the stochastic model structure, we propose the EKF to estimate the MIN. SgLV-EKF was compared with two similarity-based algorithms, one algorithm from the integral-based family and two regression-based algorithms, in terms of the achieved performance on two synthetic data-sets and two real data-sets. The first data-set models the randomness in measurement data, whereas, the second data-set incorporates uncertainties in the underlying dynamics. The real data-sets are provided by a recent study pertaining to an antibiotic-mediated Clostridium difficile infection. The experimental results demonstrate that SgLV-EKF outperforms the alternative methods in terms of robustness to measurement noise, modeling errors, and tracking the dynamics of the MIN. Performance analysis demonstrates that the proposed SgLV-EKF algorithm

  16. A Sensorless Predictive Current Controlled Boost Converter by Using an EKF with Load Variation Effect Elimination Function

    Directory of Open Access Journals (Sweden)

    Qiaoling Tong

    2015-04-01

    Full Text Available To realize accurate current control for a boost converter, a precise measurement of the inductor current is required to achieve high resolution current regulating. Current sensors are widely used to measure the inductor current. However, the current sensors and their processing circuits significantly contribute extra hardware cost, delay and noise to the system. They can also harm the system reliability. Therefore, current sensorless control techniques can bring cost effective and reliable solutions for various boost converter applications. According to the derived accurate model, which contains a number of parasitics, the boost converter is a nonlinear system. An Extended Kalman Filter (EKF is proposed for inductor current estimation and output voltage filtering. With this approach, the system can have the same advantages as sensored current control mode. To implement EKF, the load value is necessary. However, the load may vary from time to time. This can lead to errors of current estimation and filtered output voltage. To solve this issue, a load variation elimination effect elimination (LVEE module is added. In addition, a predictive average current controller is used to regulate the current. Compared with conventional voltage controlled system, the transient response is greatly improved since it only takes two switching cycles for the current to reach its reference. Finally, experimental results are presented to verify the stable operation and output tracking capability for large-signal transients of the proposed algorithm.

  17. Low-cost attitude determination system using an extended Kalman filter (EKF) algorithm

    Science.gov (United States)

    Esteves, Fernando M.; Nehmetallah, Georges; Abot, Jandro L.

    2016-05-01

    Attitude determination is one of the most important subsystems in spacecraft, satellite, or scientific balloon mission s, since it can be combined with actuators to provide rate stabilization and pointing accuracy for payloads. In this paper, a low-cost attitude determination system with a precision in the order of arc-seconds that uses low-cost commercial sensors is presented including a set of uncorrelated MEMS gyroscopes, two clinometers, and a magnetometer in a hierarchical manner. The faster and less precise sensors are updated by the slower, but more precise ones through an Extended Kalman Filter (EKF)-based data fusion algorithm. A revision of the EKF algorithm fundamentals and its implementation to the current application, are presented along with an analysis of sensors noise. Finally, the results from the data fusion algorithm implementation are discussed in detail.

  18. Visual EKF-SLAM from Heterogeneous Landmarks

    Directory of Open Access Journals (Sweden)

    Jorge Othón Esparza-Jiménez

    2016-04-01

    Full Text Available Many applications require the localization of a moving object, e.g., a robot, using sensory data acquired from embedded devices. Simultaneous localization and mapping from vision performs both the spatial and temporal fusion of these data on a map when a camera moves in an unknown environment. Such a SLAM process executes two interleaved functions: the front-end detects and tracks features from images, while the back-end interprets features as landmark observations and estimates both the landmarks and the robot positions with respect to a selected reference frame. This paper describes a complete visual SLAM solution, combining both point and line landmarks on a single map. The proposed method has an impact on both the back-end and the front-end. The contributions comprehend the use of heterogeneous landmark-based EKF-SLAM (the management of a map composed of both point and line landmarks; from this perspective, the comparison between landmark parametrizations and the evaluation of how the heterogeneity improves the accuracy on the camera localization, the development of a front-end active-search process for linear landmarks integrated into SLAM and the experimentation methodology.

  19. Visual EKF-SLAM from Heterogeneous Landmarks.

    Science.gov (United States)

    Esparza-Jiménez, Jorge Othón; Devy, Michel; Gordillo, José L

    2016-04-07

    Many applications require the localization of a moving object, e.g., a robot, using sensory data acquired from embedded devices. Simultaneous localization and mapping from vision performs both the spatial and temporal fusion of these data on a map when a camera moves in an unknown environment. Such a SLAM process executes two interleaved functions: the front-end detects and tracks features from images, while the back-end interprets features as landmark observations and estimates both the landmarks and the robot positions with respect to a selected reference frame. This paper describes a complete visual SLAM solution, combining both point and line landmarks on a single map. The proposed method has an impact on both the back-end and the front-end. The contributions comprehend the use of heterogeneous landmark-based EKF-SLAM (the management of a map composed of both point and line landmarks); from this perspective, the comparison between landmark parametrizations and the evaluation of how the heterogeneity improves the accuracy on the camera localization, the development of a front-end active-search process for linear landmarks integrated into SLAM and the experimentation methodology.

  20. Comparison Study on the Battery SoC Estimation with EKF and UKF Algorithms

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    Hongwen He

    2013-09-01

    Full Text Available The battery state of charge (SoC, whose estimation is one of the basic functions of battery management system (BMS, is a vital input parameter in the energy management and power distribution control of electric vehicles (EVs. In this paper, two methods based on an extended Kalman filter (EKF and unscented Kalman filter (UKF, respectively, are proposed to estimate the SoC of a lithium-ion battery used in EVs. The lithium-ion battery is modeled with the Thevenin model and the model parameters are identified based on experimental data and validated with the Beijing Driving Cycle. Then space equations used for SoC estimation are established. The SoC estimation results with EKF and UKF are compared in aspects of accuracy and convergence. It is concluded that the two algorithms both perform well, while the UKF algorithm is much better with a faster convergence ability and a higher accuracy.

  1. Indoor Slope and Edge Detection by using Two-Dimensional EKF-SLAM with Orthogonal Assumption

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    Jixin Lv

    2015-04-01

    Full Text Available In an indoor environment, slope and edge detection is an important problem in simultaneous localization and mapping (SLAM, which is a basic requirement for mobile robot autonomous navigation. Slope detection allows the robot to find areas that are more traversable while the edge detection can prevent robot from falling. Three-dimensional (3D solutions usually require a large memory and high computational costs. This study proposes an efficient two-dimensional (2D solution to combine slope and edge detection with a line-segment-based extended Kalman filter SLAM (EKF-SLAM in a structured indoor area. The robot is designed to use two fixed 2D laser range finders (LRFs to perform horizontal and vertical scans. With local area orthogonal assumption, the slope and edge are modelled into line segments swiftly from each vertical scan, and then are merged into the EKF-SLAM framework. The EKF-SLAM framework features an optional prediction model that can automatically decide whether the application of iterative closest point (ICP is necessary to compensate for the dead reckoning error. The experimental results demonstrate that the proposed algorithm is capable of building an accurate 2D map swiftly, which contains crucial information of the edge and slope.

  2. 基于路标观测的改进EKF-SLAM算法%Improved EKF-SLAM Algorithm Basedon Landmark Observation

    Institute of Scientific and Technical Information of China (English)

    曹军; 曾碧; 何元烈

    2014-01-01

    针对传统的基于扩展卡尔曼滤波的SLAM算法对环境干扰修复速度较慢的缺陷,提出一种EKF-SLAM的改进方法。通过比较 EKF-SLAM 算法的预测和观测两个过程所得数据,判断是否存在较大的环境干扰。若环境干扰较大,则加大先验估计误差协方差的调整,使状态在经过校正后更快速地接近真实值,提高算法的实时性和抗干扰性。最后使用Matlab对改进EKF-SLAM进行仿真实验,结果表明改进EKF-SLAM算法的有效性和估计精度都比传统EKF-SLAM高。%The traditional SLAM algorithm based on extended kalmanfilter has a problem with low speed of repairing environmentaldisturbance. To solve the problem, this paper proposes an improved method of EKF-SLAM. The simulation of the improved EKF-SLAM algorithm with using Matlab isconducted. The result shows that effectiveness andprecision of the improved EKF-SLAM algorithm is higher than the traditional EKF-SLAM.

  3. Quaternion normalization in additive EKF for spacecraft attitude determination

    Science.gov (United States)

    Bar-Itzhack, I. Y.; Deutschmann, J.; Markley, F. L.

    1991-01-01

    This work introduces, examines, and compares several quaternion normalization algorithms, which are shown to be an effective stage in the application of the additive extended Kalman filter (EKF) to spacecraft attitude determination, which is based on vector measurements. Two new normalization schemes are introduced. They are compared with one another and with the known brute force normalization scheme, and their efficiency is examined. Simulated satellite data are used to demonstrate the performance of all three schemes. A fourth scheme is suggested for future research. Although the schemes were tested for spacecraft attitude determination, the conclusions are general and hold for attitude determination of any three dimensional body when based on vector measurements, and use an additive EKF for estimation, and the quaternion for specifying the attitude.

  4. Dual-EKF-Based Real-Time Celestial Navigation for Lunar Rover

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    Li Xie

    2012-01-01

    Full Text Available A key requirement of lunar rover autonomous navigation is to acquire state information accurately in real-time during its motion and set up a gradual parameter-based nonlinear kinematics model for the rover. In this paper, we propose a dual-extended-Kalman-filter- (dual-EKF- based real-time celestial navigation (RCN method. The proposed method considers the rover position and velocity on the lunar surface as the system parameters and establishes a constant velocity (CV model. In addition, the attitude quaternion is considered as the system state, and the quaternion differential equation is established as the state equation, which incorporates the output of angular rate gyroscope. Therefore, the measurement equation can be established with sun direction vector from the sun sensor and speed observation from the speedometer. The gyro continuous output ensures the algorithm real-time operation. Finally, we use the dual-EKF method to solve the system equations. Simulation results show that the proposed method can acquire the rover position and heading information in real time and greatly improve the navigation accuracy. Our method overcomes the disadvantage of the cumulative error in inertial navigation.

  5. A Novel Control-Navigation System- Based Adaptive Optimal Controller & EKF Localization of DDMR

    Directory of Open Access Journals (Sweden)

    Dalia Kass Hanna

    2015-05-01

    Full Text Available This paper presents a newly developed approach for Differential Drive Mobile Robot (DDMR. The main goal is to provide a high dynamic system response in the joint space level, the low level control, as well as to enhance the DDMR localization. The proposed approach depends on a Linear Quadratic Regulator (LQR for the low level control and an Adaptive LQR for the high level control. The investigated DDMR is considered highly nonlinear system due to uncertainty exhibited by the mobile robot incorporated with actuators nonlinearity. DDMR’s uncertainty leads to erroneous localization. An Extended Kalman Filter (EKF -based approach with fusion sensors is used to enhance the robot degree of belief for its posture. Intensive simulation results obtained from the developed uncertain model and the proposed approach have shown very good dynamic performance on the low level control and very good convergence to the desired posture of the mobile robot path with the presence of robot uncertainty.

  6. Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range

    Directory of Open Access Journals (Sweden)

    Zhanshan Wang

    2014-01-01

    Full Text Available The control of a high performance alternative current (AC motor drive under sensorless operation needs the accurate estimation of rotor position. In this paper, one method of accurately estimating rotor position by using both motor complex number model based position estimation and position estimation error suppression proportion integral (PI controller is proposed for the sensorless control of the surface permanent magnet synchronous motor (SPMSM. In order to guarantee the accuracy of rotor position estimation in the flux-weakening region, one scheme of identifying the permanent magnet flux of SPMSM by extended Kalman filter (EKF is also proposed, which formed the effective combination method to realize the sensorless control of SPMSM with high accuracy. The simulation results demonstrated the validity and feasibility of the proposed position/speed estimation system.

  7. Application of Full-Order and Simplified EKFs to Sensorless PM Brushless AC Machines

    Institute of Scientific and Technical Information of China (English)

    Xi Zhu; Zi-Qiang Zhu; David Howe

    2005-01-01

    This paper em ploys an extended Kalman filter (EKF) to estimate the rotor position and speed of a vector controlled surface-mounted permanent magnet (PM) brushless AC (BLAC) motor from measured terminal voltages and currents only. Both full-order and simplified EKFs are employed and their simulated performance capabilities are compared.Excellent agreement is achieved between estimated and commanded results. The EKF is also employed to identify the stator flux-linkage due to the PMs, which is influenced by temperature variation and magnetic saturation.

  8. Application of EKF Neural Network Algorithm in a Dredging Dynamic Model%EKF神经网络算法在疏浚作业建模中的应用

    Institute of Scientific and Technical Information of China (English)

    李凯凯; 许焕敏; 周丰

    2015-01-01

    提出了基于EKF神经网络的疏浚作业过程动态演化建模方法。在神经网络建模过程中引入卡尔曼滤波思想,利用扩展卡尔曼滤波实时更新神经网络模型的权重,从而获得能有效跟踪挖泥船疏浚过程工况变化的模型。%This paper presents a dredging dy-namic evolution modeling method based on an ex-tended Kalman filter neural network algorithm. The concept of the Kalman filter is introduced in the process of neural network modeling.Using the extended Kalman filter real time updating weights of the neural network model,effective models showing the variation of dredger dredging process conditions can be tracked.

  9. A Low-Delay Low-Complexity EKF Design for Joint Channel and CFO Estimation in Multi-User Cognitive Communications

    CERN Document Server

    Zhao, Pengkai

    2011-01-01

    Parameter estimation in cognitive communications can be formulated as a multi-user estimation problem, which is solvable under maximum likelihood solution but involves high computational complexity. This paper presents a time-sharing and interference mitigation based EKF (Extended Kalman Filter) design for joint CFO (carrier frequency offset) and channel estimation at multiple cognitive users. The key objective is to realize low implementation complexity by decomposing highdimensional parameters into multiple separate low-dimensional estimation problems, which can be solved in a time-shared manner via pipelining operation. We first present a basic EKF design that estimates the parameters from one TX user to one RX antenna. Then such basic design is time-shared and reused to estimate parameters from multiple TX users to multiple RX antennas. Meanwhile, we use interference mitigation module to cancel the co-channel interference at each RX sample. In addition, we further propose adaptive noise variance tracking ...

  10. A Novel EKF-SLAM Algorithm Against Outlier Disturbance%一种新的抗外部干扰EKF-SLAM算法

    Institute of Scientific and Technical Information of China (English)

    吕太之

    2012-01-01

    There is not only sensor noise, but also outlier disturbance when a robot explores in unknown environments. The traditional EKF-SLAM algorithm does not consider the impact of outlier disturbance that may lead to positioning failure. The new algorithm detects the outlier disturbance by comparing two observations result using polar coordinates. Covariance would be inflated when disturbance is detected, so that system state of uncertainty is expanded and the state quickly converges to the true value. Simulation results show that the proposed algorithm is better than EKF-SLAM both in mobile robot SLAM accuracy and robustness.%机器人在未知环境中探索时不仅存在传感器误差,而且经常受到外部干扰的影响.传统EKF-SLAM算法没有考虑外部干扰,会导致机器人定位的失败,为此,提出一种改进的EKF-SLAM算法.采用极坐标对比前后2次观测结果来检测是否存在外部干扰.当检测到存在外部干扰时,通过膨胀系统状态的方差扩大其不确定性,使系统状态迅速收敛到真值.仿真结果表明,该算法在移动机器人SLAM的估计精度和鲁棒性两方面均优于传统的EKF-SLAM算法.

  11. Implementing loudness models in Matlab

    OpenAIRE

    2004-01-01

    In the field of psychoacoustic analysis the goal is to construct a transformation that will map a time domain waveform into a domain that will best capture the response of a human perceiving sound. A key element of such transformations is the mapping between the sound intensity in decibels and its actual perceived loudness. A number of difdferent loudness models exist to achieve this mapping. This paper examines implementation strategies for some of the more well-known models in the Matlab so...

  12. Implementing loudness models in Matlab

    OpenAIRE

    2004-01-01

    In the field of psychoacoustic analysis the goal is to construct a transformation that will map a time waveform into a domain that best captures the response of a human perceiving sound. A key element of such transformations is the mapping between the sound intensity in decibels and its actual perceived loudness. A number of different loudness models exist to achieve this mapping. This paper examines implementation strategies for some of the more wellknown models in the Matlab software env...

  13. Implementing a new governance model.

    Science.gov (United States)

    Stanley-Clarke, Nicky; Sanders, Jackie; Munford, Robyn

    2016-05-16

    Purpose - The purpose of this paper is to discuss the lessons learnt from the process of implementing a new model of governance within Living Well, a New Zealand statutory mental health agency. Design/methodology/approach - It presents the findings from an organisational case study that involved qualitative interviews, meeting observations and document analysis. Archetype theory provided the analytical framework for the research enabling an analysis of both the formal structures and informal value systems that influenced the implementation of the governance model. Findings - The research found that the move to a new governance model did not proceed as planned. It highlighted the importance of staff commitment, the complexity of adopting a new philosophical approach and the undue influence of key personalities as key determining factors in the implementation process. The findings suggest that planners and managers within statutory mental health agencies need to consider the implications of any proposed governance change on existing roles and relationships, thinking strategically about how to secure professional commitment to change. Practical implications - There are ongoing pressures within statutory mental health agencies to improve the efficiency and effectiveness of organisational structures and systems. This paper has implications for how planners and managers think about the process of implementing new governance models within the statutory mental health environment in order to increase the likelihood of sustaining and embedding new approaches to service delivery. Originality/value - The paper presents insights into the process of implementing new governance models within a statutory mental health agency in New Zealand that has relevance for other jurisdictions.

  14. Multi-Zone hybrid model for failure detection of the stable ventilation systems

    DEFF Research Database (Denmark)

    Gholami, Mehdi; Schiøler, Henrik; Soltani, Mohsen;

    2010-01-01

    In this paper, a conceptual multi-zone model for climate control of a live stock building is elaborated. The main challenge of this research is to estimate the parameters of a nonlinear hybrid model. A recursive estimation algorithm, the Extended Kalman Filter (EKF) is implemented for estimation....

  15. Resident space object tracking using an interacting multiple model mixing scheme

    Science.gov (United States)

    Lam, Quang M.

    2014-06-01

    A multiple model estimation scheme is proposed to enhance the robustness of a resident space object (RSO) tracker subject to its maneuverability uncertainties (unplanned or unknown jet firing activities) and other system variations. The concept is based on the Interacting Multiple Model (IMM) estimation scheme. Within the IMM framework, two Extended Kalman Filter (EKF) models: (i) a 6 State (Position and Velocity of a constant orbiting RSO) EKF and (ii) a 9 state (Position, Velocity, and Acceleration of a maneuvering RSO) EKF are designed and implemented to achieve RSO maneuvering detection and enhanced tracking accuracy. The IMM estimation scheme is capable of providing enhanced state vector estimation accuracy and consistent prediction of the RSO maneuvering status, thus offering an attractive design feature for future Space Situational Awareness (SSA) missions. The design concept is illustrated using the Matlab/Based Simulation testing environment.

  16. Mobile Positioning in Mixed LOS/NLOS Conditions Using Modified EKF Banks and Data Fusion Method

    Science.gov (United States)

    Chen, Liang; Wu, Lenan

    A novel method is proposed to track the position of MS in the mixed line-of-sight/non-line-of-sight (LOS/NLOS) conditions in cellular network. A first-order markov model is employed to describe the dynamic transition of LOS/NLOS conditions, which is hidden in the measurement data. This method firstly uses modified EKF banks to jointly estimate both mobile state (position and velocity) and the hidden sight state based on the the data collected by a single BS. A Bayesian data fusion algorithm is then applied to achieve a high estimation accuracy. Simulation results show that the location errors of the proposed method are all significantly smaller than that of the FCC requirement in different LOS/NLOS conditions. In addition, the method is robust in the parameter mismodeling test. Complexity experiments suggest that it supports real-time application. Moreover, this algorithm is flexible enough to support different types of measurement methods and asynchronous or synchronous observations data, which is especially suitable for the future cooperative location systems.

  17. Performance Comparison of EKF/UKF/CKF for the Tracking of Ballistic Target

    Directory of Open Access Journals (Sweden)

    Wu Guang-bin

    2012-11-01

    Full Text Available This paper considers three well know nonlinear Kalman Filters for the tracking of a ballistic target. Extended Kalman Filter (EKF, Unscented Kalman Filter (UKF, and the Cubature Kalman Filter (CKF are applied for estimating the position, velocity and the ballistic coefficient of the ballistic target. The theory formulation and computer simulation has been done for the comparison of the three nonlinear Kalman Filters. Results show that all of them can accomplish the estimation task, but the UKF and CKF both have higher accuracy and less computation cost than the EKF.

  18. Enterprise resource planning implementation decision & optimization models

    Institute of Scientific and Technical Information of China (English)

    Wang Shaojun; Wang Gang; Lü Min; Gao Guoan

    2008-01-01

    To study the uncertain optimization problems on implementation schedule, time-cost trade-off and quality in enterprise resource planning (ERP) implementation, combined with program evaluation and review technique (PERT), some optimization models are proposed, which include the implementation schedule model, the timecost trade-off model, the quality model, and the implementation time-cost-quality synthetic optimization model. A PERT-embedded genetic algorithm (GA) based on stochastic simulation technique is introduced to the optimization models solution. Finally, an example is presented to show that the models and algorithm are reasonable and effective, which can offer a reliable quantitative decision method for ERP implementation.

  19. CSR Model Implementation from School Stakeholder Perspectives

    Science.gov (United States)

    Herrmann, Suzannah

    2006-01-01

    Despite comprehensive school reform (CSR) model developers' best intentions to make school stakeholders adhere strictly to the implementation of model components, school stakeholders implementing CSR models inevitably make adaptations to the CSR model. Adaptations are made to CSR models because school stakeholders internalize CSR model practices…

  20. Switching EKF technique for rotor and stator resistance estimation in speed sensorless control of IMs

    Energy Technology Data Exchange (ETDEWEB)

    Barut, Murat; Bogosyan, Seta [University of Alaska Fairbanks, Department of Electrical and Computer Engineering, Fairbanks, AK 99775 (United States); Gokasan, Metin [Istanbul Technical University, Electrical and Electronic Engineering Faculty, 34390 Istanbul (Turkey)

    2007-12-15

    High performance speed sensorless control of induction motors (IMs) calls for estimation and control schemes that offer solutions to parameter uncertainties as well as to difficulties involved with accurate flux/velocity estimation at very low and zero speed. In this study, a new EKF based estimation algorithm is proposed for the solution of both problems and is applied in combination with speed sensorless direct vector control (DVC). The technique is based on the consecutive execution of two EKF algorithms, by switching from one algorithm to another at every n sampling periods. The number of sampling periods, n, is determined based on the desired system performance. The switching EKF approach, thus applied, provides an accurate estimation of an increased number of parameters than would be possible with a single EKF algorithm. The simultaneous and accurate estimation of rotor, R{sub r}{sup '} and stator, R{sub s} resistances, both in the transient and steady state, is an important challenge in speed sensorless IM control and reported studies achieving satisfactory results are few, if any. With the proposed technique in this study, the sensorless estimation of R{sub r}{sup '} and R{sub s} is achieved in transient and steady state and in both high and low speed operation while also estimating the unknown load torque, velocity, flux and current components. The performance demonstrated by the simulation results at zero speed, as well as at low and high speed operation is very promising when compared with individual EKF algorithms performing either R{sub r}{sup '} or R{sub s} estimation or with the few other approaches taken in past studies, which require either signal injection and/or a change of algorithms based on the speed range. The results also motivate utilization of the technique for multiple parameter estimation in a variety of control methods. (author)

  1. 基于Vondrak粗差探测的抗差EKF算法在GPS导航中的应用%THE APPLICATION OF ROBUST EKF ALGORITHM BASED ON VONDRAK GROSS ERROR DETECTION TO GPS NAVIGATION

    Institute of Scientific and Technical Information of China (English)

    张亮; 高井祥; 李增科; 王坚

    2014-01-01

    For there is the problem of iterative calculation in robust extended Kalman filter (EKF),an algorithm of robust EKF based on the Vondrak gross error was proposed and applied to the GPS navigation and positioning.The first,it could identify and position the gross error of observations.Then,robust EKF model was used.In order to test the new model,dynamic GPS data was measured,double difference observation equation and velocity with acceleration kalman state equation of the model were built.The experiment results show that the new differential robust EKF model can resist the influence of gross errors in observation.Compared to the traditional robust EKF model,it can avoid resistance difference iteration in each epoch,and improve the efficiency of navigation solution.%提出基于Vondrak滤波粗差探测的抗差EKF算法,并应用于GPS导航定位.分析了传统抗差EKF的基本原理,结合粗差特性及Vondrak粗差探测理论,建立了新的抗差EKF模型.首先对观测值进行粗差识别和定位,再在粗差点处采用抗差EKF模型滤波.实验表明,当观测值中存在粗差时,新建抗差EKF模型可以很好地抵抗观测值中粗差的影响;和传统抗差模型相比,避免了对每个历元进行抗差迭代,提高了导航求解的效率.

  2. Guiding healthcare technology implementation: a new integrated technology implementation model.

    Science.gov (United States)

    Schoville, Rhonda R; Titler, Marita G

    2015-03-01

    Healthcare technology is used to improve delivery of safe patient care by providing tools for early diagnosis, ongoing monitoring, and treatment of patients. This technology includes bedside physiologic monitors, pulse oximetry devices, electrocardiogram machines, bedside telemetry, infusion pumps, ventilators, and electronic health records. Healthcare costs are a challenge for society, and hospitals are pushed to lower costs by discharging patients sooner. Healthcare technology is being used to facilitate these early discharges. There is little understanding of how healthcare facilities purchase, implement, and adopt technology. There are two areas of theories and models currently used when investigating technology: technology adoption and implementation science. Technology adoption focuses mainly on how the end users adopt technology, whereas implementation science describes methods, interventions, and variables that promote the use of evidence-based practice. These two approaches are not well informed by each other. In addition, amplifying the knowledge gap is the limited conceptualization of healthcare technology implementation frameworks. To bridge this gap, an all-encompassing model is needed. To understand the key technology implementation factors utilized by leading healthcare facilities, the prevailing technology adoption and implementation science theories and models were reviewed. From this review, an integrated technology implementation model will be set forth.

  3. Symmetries in observer design: review of some recent results and applications to EKF-based SLAM

    CERN Document Server

    Bonnabel, Silvere

    2011-01-01

    In this paper, we first review the theory of symmetry-preserving observers and we mention some recent results. Then, we apply the theory to Extended Kalman Filter-based Simultaneous Localization and Mapping (EKF SLAM). It allows to derive a new (symmetry-preserving) Extended Kalman Filter for the non-linear SLAM problem that possesses convergence properties. We also prove a special choice of the gains ensures global exponential convergence.

  4. Cross-Covariance Estimation for Ekf-Based Inertial Aided Monocular Slam

    Science.gov (United States)

    Kleinert, M.; Stilla, U.

    2011-04-01

    Repeated observation of several characteristically textured surface elements allows the reconstruction of the camera trajectory and a sparse point cloud which is often referred to as "map". The extended Kalman filter (EKF) is a popular method to address this problem, especially if real-time constraints have to be met. Inertial measurements as well as a parameterization of the state vector that conforms better to the linearity assumptions made by the EKF may be employed to reduce the impact of linearization errors. Therefore, we adopt an inertial-aided monocular SLAM approach where landmarks are parameterized in inverse depth w.r.t. the coordinate system in which they were observed for the first time. In this work we present a method to estimate the cross-covariances between landmarks which are introduced in the EKF state vector for the first time and the old filter state that can be applied in the special case at hand where each landmark is parameterized w.r.t. an individual coordinate system.

  5. Self-organising T-S fuzzy Elman network based on EKF%基于EKF的自组织T-S模糊Elman网络

    Institute of Scientific and Technical Information of China (English)

    乔俊飞; 袁喜春; 韩红桂

    2014-01-01

    For the design of the fuzzy neural network architecture and the deficiency of fuzzy sets on semantic description, a self-organising T-S fuzzy Elman network(SOTSFEN) based on extended Kalman filter(EKF) is proposed, and the training algorithm is derived. Furthermore, recursive least square(RLS) and EKF are used to update linear and non-linear parameters respectively. Then the criterion of rule generation is given and error ratio reduction(ERR) is regarded as the fuzzy rule pruning strategy. Finally, the simulation results of system identification and sewage treatment modeling show that the precision and generalization ability of SOTSFEN are ensured, and a simpler architecture network can be achieved simultaneously.%针对模糊神经网络结构设计问题及模糊集在语言描述上存在的不足,提出一种基于扩展的卡尔曼滤波(EKF)的自组织T-S模糊Elman网络,并推导了网络训练算法。分别采用递归最小二乘法和EKF对线性参数和非线性参数进行更新;基于模糊规则生成准则和误差下降率修剪策略实现了模糊规则的增删减。最后通过系统辨识和污水处理建模实验,表明了该算法在保证网络精度和泛化能力的同时,可以有效地简化网络结构。

  6. Rapid implementation of advanced constitutive models

    Science.gov (United States)

    Starman, Bojan; Halilovič, Miroslav; Vrh, Marko; Štok, Boris

    2013-12-01

    This paper presents a methodology based on the NICE integration scheme [1, 2] for simple and rapid numerical implementation of a class of plasticity constitutive models. In this regard, an algorithm is purposely developed for the implementation of newly developed advanced constitutive models into explicit finite element framework. The methodology follows the organization of the problem state variables into an extended form, which allows the constitutive models' equations to be organized in such a way, that the algorithm can be optionally extended with minimal effort to integrate also evolution equations related to a description of other specific phenomena, such as damage, distortional hardening, phase transitions, degradation etc. To confirm simplicity of the program implementation, computational robustness, effectiveness and improved accuracy of the implemented integration algorithm, a deep drawing simulation of the cylindrical cup is considered as the case study, performed in ABAQUS/Explicit. As a fairly complex considered model, the YLD2004-18p model [3, 4] is first implemented via external subroutine VUMAT. Further, to give additional proof of the simplicity of the proposed methodology, a combination of the YLD2004-18p model and Gurson-Tvergaard-Needleman model (GTN) is considered. As demonstrated, the implementation is really obtained in a very simple way.

  7. Buildings Lean Maintenance Implementation Model

    Science.gov (United States)

    Abreu, Antonio; Calado, João; Requeijo, José

    2016-11-01

    Nowadays, companies in global markets have to achieve high levels of performance and competitiveness to stay "alive".Within this assumption, the building maintenance cannot be done in a casual and improvised way due to the costs related. Starting with some discussion about lean management and building maintenance, this paper introduces a model to support the Lean Building Maintenance (LBM) approach. Finally based on a real case study from a Portuguese company, the benefits, challenges and difficulties are presented and discussed.

  8. Implementing a trustworthy cost-accounting model.

    Science.gov (United States)

    Spence, Jay; Seargeant, Dan

    2015-03-01

    Hospitals and health systems can develop an effective cost-accounting model and maximize the effectiveness of their cost-accounting teams by focusing on six key areas: Implementing an enhanced data model. Reconciling data efficiently. Accommodating multiple cost-modeling techniques. Improving transparency of cost allocations. Securing department manager participation. Providing essential education and training to staff members and stakeholders.

  9. Concurrent Development of Model and Implementation

    CERN Document Server

    Gravell, A; Augusto, J C; Ferreira, C; Gruner, S

    2011-01-01

    This paper considers how a formal mathematically-based model can be used in support of evolutionary software development, and in particular how such a model can be kept consistent with the implementation as it changes to meet new requirements. A number of techniques are listed can make use of such a model to enhance the development process, and also ways to keep model and implementation consistent. The effectiveness of these techniques is investigated through two case studies concerning the development of small e-business applications, a travel agent and a mortgage broker. Some successes are reported, notably in the use of rapid throwaway modelling to investigate design alternatives, and also in the use of close team working and modelbased trace-checking to maintain synchronisation between model and implementation throughout the development. The main areas of weakness were seen to derive from deficiencies in tool support. Recommendations are therefore made for future improvements to tools supporting formal mo...

  10. Extended Kalman filter method for state of charge estimation of vanadium redox flow battery using thermal-dependent electrical model

    Science.gov (United States)

    Xiong, Binyu; Zhao, Jiyun; Wei, Zhongbao; Skyllas-Kazacos, Maria

    2014-09-01

    State of charge (SOC) estimation is a key issue for battery management since an accurate estimation method can ensure safe operation and prevent the over-charge/discharge of a battery. Traditionally, open circuit voltage (OCV) method is utilized to estimate the stack SOC and one open flow cell is needed in each battery stack [1,2]. In this paper, an alternative method, extended Kalman filter (EKF) method, is proposed for SOC estimation for VRBs. By measuring the stack terminal voltages and applied currents, SOC can be predicted with a state estimator instead of an additional open circuit flow cell. To implement EKF estimator, an electrical model is required for battery analysis. A thermal-dependent electrical circuit model is proposed to describe the charge/discharge characteristics of the VRB. Two scenarios are tested for the robustness of the EKF. For the lab testing scenarios, the filtered stack voltage tracks the experimental data despite the model errors. For the online operation, the simulated temperature rise is observed and the maximum SOC error is within 5.5%. It is concluded that EKF method is capable of accurately predicting SOC using stack terminal voltages and applied currents in the absence of an open flow cell for OCV measurement.

  11. Implementing the Schoolwide Enrichment Model in Brazil

    Science.gov (United States)

    de Souza Fleith, Denise; Soriano de Alencar, Eunice M. L.

    2010-01-01

    The Schoolwide Enrichment Model (SEM) has been one of the most widely used models in the education of the gifted in Brazil. It has inspired the political and pedagogical project of the Centers of Activities of High Abilities/Giftedness recently implemented in 27 Brazilian states by the Ministry of Education. In this article, our experience in…

  12. Internal Branding Implementation: Developing a Conceptual Model

    OpenAIRE

    Katja Terglav; Robert Kase; Maja Konecnik Ruzzier

    2012-01-01

    Internal branding is the process, which enables balanced view of the brand at all company levels. Its significance is aligning values and behaviors of employees with brand values and brand promises. In the article, we focus mainly on its implementation, which requires coordination of different functions in the company, for instance, internal marketing and human resource management. Based on findings of qualitative research, we present a conceptual model of internal branding implementation. Re...

  13. Brain-inspired Stochastic Models and Implementations

    KAUST Repository

    Al-Shedivat, Maruan

    2015-05-12

    One of the approaches to building artificial intelligence (AI) is to decipher the princi- ples of the brain function and to employ similar mechanisms for solving cognitive tasks, such as visual perception or natural language understanding, using machines. The recent breakthrough, named deep learning, demonstrated that large multi-layer networks of arti- ficial neural-like computing units attain remarkable performance on some of these tasks. Nevertheless, such artificial networks remain to be very loosely inspired by the brain, which rich structures and mechanisms may further suggest new algorithms or even new paradigms of computation. In this thesis, we explore brain-inspired probabilistic mechanisms, such as neural and synaptic stochasticity, in the context of generative models. The two questions we ask here are: (i) what kind of models can describe a neural learning system built of stochastic components? and (ii) how can we implement such systems e ̆ciently? To give specific answers, we consider two well known models and the corresponding neural architectures: the Naive Bayes model implemented with a winner-take-all spiking neural network and the Boltzmann machine implemented in a spiking or non-spiking fashion. We propose and analyze an e ̆cient neuromorphic implementation of the stochastic neu- ral firing mechanism and study the e ̄ects of synaptic unreliability on learning generative energy-based models implemented with neural networks.

  14. The Business Excellence Model for CSR Implementation?

    Directory of Open Access Journals (Sweden)

    Neergaard Peter

    2014-11-01

    Full Text Available Most of the Fortune 500 companies address Corporate Social Responsibility (CSR on their websites. However, CSR remains a fluffy concept difficult to implement in organization. The European Business Excellence Model has since the introduction in 1992 served as a powerful tool for integrating quality in organizations. CSR was first introduced in the model in 2002. From 2004 the European Foundation for Quality Management (EFQM has been eager to promote the model as an effective tool for implementing CSR.. The article discusses the potentials of the model for this end and illustrates how a 2006 European Award winning company has used the model to integrate CSR. The company adapted the Business Excellence model to improve performance, stimulate innovation and consensus.

  15. Simple implementation of general dark energy models

    Energy Technology Data Exchange (ETDEWEB)

    Bloomfield, Jolyon K. [MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Ave #37241, Cambridge, MA, 02139 (United States); Pearson, Jonathan A., E-mail: jolyon@mit.edu, E-mail: jonathan.pearson@durham.ac.uk [Centre for Particle Theory, Department of Mathematical Sciences, Durham University, South Road, Durham, DH1 3LE (United Kingdom)

    2014-03-01

    We present a formalism for the numerical implementation of general theories of dark energy, combining the computational simplicity of the equation of state for perturbations approach with the generality of the effective field theory approach. An effective fluid description is employed, based on a general action describing single-scalar field models. The formalism is developed from first principles, and constructed keeping the goal of a simple implementation into CAMB in mind. Benefits of this approach include its straightforward implementation, the generality of the underlying theory, the fact that the evolved variables are physical quantities, and that model-independent phenomenological descriptions may be straightforwardly investigated. We hope this formulation will provide a powerful tool for the comparison of theoretical models of dark energy with observational data.

  16. The Business Excellence Model for CSR Implementation?

    DEFF Research Database (Denmark)

    Neergaard, Peter; Gjerdrum Pedersen, Esben Rahbek

    2012-01-01

    Most of the Fortune 500 companies address Corporate Social Responsibility (CSR) on their websites. However, CSR remains a fluffy concept difficult to implement in organization. The European Business Excellence Model has since the introduction in 1992 served as a powerful tool for integrating qual...

  17. Berkeley-Madonna implementation of Ikeda's model.

    Science.gov (United States)

    Fontecave-Jallon, J; Baconnier, P

    2007-01-01

    Starting from one model, we check the possibility of using Berkeley-Madonna software to transpose and simulate some existing biological integrated models. The considered model is the one of Ikeda et al., proposed in 1979, which treats of fluid regulation and which is very well described mathematically in the original paper. Despite a few mistakes or bugs, the model has been easily and successfully implemented under Berkeley-Madonna. We recover the same simulation results as Ikeda and new simulations can now easily be carried out, thanks to the user-friendly qualities of Berkeley-Madonna.

  18. A quantum-implementable neural network model

    Science.gov (United States)

    Chen, Jialin; Wang, Lingli; Charbon, Edoardo

    2017-10-01

    A quantum-implementable neural network, namely quantum probability neural network (QPNN) model, is proposed in this paper. QPNN can use quantum parallelism to trace all possible network states to improve the result. Due to its unique quantum nature, this model is robust to several quantum noises under certain conditions, which can be efficiently implemented by the qubus quantum computer. Another advantage is that QPNN can be used as memory to retrieve the most relevant data and even to generate new data. The MATLAB experimental results of Iris data classification and MNIST handwriting recognition show that much less neuron resources are required in QPNN to obtain a good result than the classical feedforward neural network. The proposed QPNN model indicates that quantum effects are useful for real-life classification tasks.

  19. Airport Gate Assignment: New Model and Implementation

    CERN Document Server

    Li, Chendong

    2008-01-01

    Airport gate assignment is of great importance in airport operations. In this paper, we study the Airport Gate Assignment Problem (AGAP), propose a new model and implement the model with Optimization Programming language (OPL). With the objective to minimize the number of conflicts of any two adjacent aircrafts assigned to the same gate, we build a mathematical model with logical constraints and the binary constraints, which can provide an efficient evaluation criterion for the Airlines to estimate the current gate assignment. To illustrate the feasibility of the model we construct experiments with the data obtained from Continental Airlines, Houston Gorge Bush Intercontinental Airport IAH, which indicate that our model is both energetic and effective. Moreover, we interpret experimental results, which further demonstrate that our proposed model can provide a powerful tool for airline companies to estimate the efficiency of their current work of gate assignment.

  20. Implementing network constraints in the EMPS model

    Energy Technology Data Exchange (ETDEWEB)

    Helseth, Arild; Warland, Geir; Mo, Birger; Fosso, Olav B.

    2010-02-15

    This report concerns the coupling of detailed market and network models for long-term hydro-thermal scheduling. Currently, the EPF model (Samlast) is the only tool available for this task for actors in the Nordic market. A new prototype for solving the coupled market and network problem has been developed. The prototype is based on the EMPS model (Samkjoeringsmodellen). Results from the market model are distributed to a detailed network model, where a DC load flow detects if there are overloads on monitored lines or intersections. In case of overloads, network constraints are generated and added to the market problem. Theoretical and implementation details for the new prototype are elaborated in this report. The performance of the prototype is tested against the EPF model on a 20-area Nordic dataset. (Author)

  1. Grid Oriented Implementation of the Tephra Model

    Science.gov (United States)

    Coltelli, M.; D'Agostino, M.; Drago, A.; Pistagna, F.; Prestifilippo, M.; Reitano, D.; Scollo, S.; Spata, G.

    2009-04-01

    TEPHRA is a two dimensional advection-diffusion model implemented by Bonadonna et al. [2005] that describes the sedimentation process of particles from volcanic plumes. The model is used by INGV - Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, to forecast tephra dispersion during Etna volcanic events. Every day weather forecast provided by the Italian Air Force Meteorological Office in Rome and by the hydrometeorological service of ARPA in Emilia Romagna are processed by TEPHRA model with other volcanological parameters to simulate two different eruptive scenarios of Mt. Etna (corresponding to 1998 and 2002-03 Etna eruptions). The model outputs are plotted on maps and transferred to Civil Protection which takes the trouble to give public warnings and plan mitigation measures. The TEPHRA model is implemented in ANSI-C code using MPI commands to maximize parallel computation. Actually the model runs on an INGV Beowulf cluster. In order to provide better performances we worked on porting it to PI2S2 sicilian grid infrastructure inside the "PI2S2 Project" (2006-2008). We configured the application to run on grid, using Glite middleware, analyzed the obtained performances and comparing them with ones obtained on the local cluster. As TEPHRA needs to be run in a short time in order to transfer fastly the dispersion maps to Civil Protection, we also worked to minimize and stabilize grid job-scheduling time by using customized high-priority queues called Emergency Queue.

  2. A tool box for implementing supersymmetric models

    Science.gov (United States)

    Staub, Florian; Ohl, Thorsten; Porod, Werner; Speckner, Christian

    2012-10-01

    We present a framework for performing a comprehensive analysis of a large class of supersymmetric models, including spectrum calculation, dark matter studies and collider phenomenology. To this end, the respective model is defined in an easy and straightforward way using the Mathematica package SARAH. SARAH then generates model files for CalcHep which can be used with micrOMEGAs as well as model files for WHIZARD and O'Mega. In addition, Fortran source code for SPheno is created which facilitates the determination of the particle spectrum using two-loop renormalization group equations and one-loop corrections to the masses. As an additional feature, the generated SPheno code can write out input files suitable for use with HiggsBounds to apply bounds coming from the Higgs searches to the model. Combining all programs provides a closed chain from model building to phenomenology. Program summary Program title: SUSY Phenomenology toolbox. Catalog identifier: AEMN_v1_0. Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEMN_v1_0.html. Program obtainable from: CPC Program Library, Queen's University, Belfast, N. Ireland. Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html. No. of lines in distributed program, including test data, etc.: 140206. No. of bytes in distributed program, including test data, etc.: 1319681. Distribution format: tar.gz. Programming language: Autoconf, Mathematica. Computer: PC running Linux, Mac. Operating system: Linux, Mac OS. Classification: 11.6. Nature of problem: Comprehensive studies of supersymmetric models beyond the MSSM is considerably complicated by the number of different tasks that have to be accomplished, including the calculation of the mass spectrum and the implementation of the model into tools for performing collider studies, calculating the dark matter density and checking the compatibility with existing collider bounds (in particular, from the Higgs searches). Solution method: The

  3. Merging Digital Surface Models Implementing Bayesian Approaches

    Science.gov (United States)

    Sadeq, H.; Drummond, J.; Li, Z.

    2016-06-01

    In this research different DSMs from different sources have been merged. The merging is based on a probabilistic model using a Bayesian Approach. The implemented data have been sourced from very high resolution satellite imagery sensors (e.g. WorldView-1 and Pleiades). It is deemed preferable to use a Bayesian Approach when the data obtained from the sensors are limited and it is difficult to obtain many measurements or it would be very costly, thus the problem of the lack of data can be solved by introducing a priori estimations of data. To infer the prior data, it is assumed that the roofs of the buildings are specified as smooth, and for that purpose local entropy has been implemented. In addition to the a priori estimations, GNSS RTK measurements have been collected in the field which are used as check points to assess the quality of the DSMs and to validate the merging result. The model has been applied in the West-End of Glasgow containing different kinds of buildings, such as flat roofed and hipped roofed buildings. Both quantitative and qualitative methods have been employed to validate the merged DSM. The validation results have shown that the model was successfully able to improve the quality of the DSMs and improving some characteristics such as the roof surfaces, which consequently led to better representations. In addition to that, the developed model has been compared with the well established Maximum Likelihood model and showed similar quantitative statistical results and better qualitative results. Although the proposed model has been applied on DSMs that were derived from satellite imagery, it can be applied to any other sourced DSMs.

  4. MERGING DIGITAL SURFACE MODELS IMPLEMENTING BAYESIAN APPROACHES

    Directory of Open Access Journals (Sweden)

    H. Sadeq

    2016-06-01

    Full Text Available In this research different DSMs from different sources have been merged. The merging is based on a probabilistic model using a Bayesian Approach. The implemented data have been sourced from very high resolution satellite imagery sensors (e.g. WorldView-1 and Pleiades. It is deemed preferable to use a Bayesian Approach when the data obtained from the sensors are limited and it is difficult to obtain many measurements or it would be very costly, thus the problem of the lack of data can be solved by introducing a priori estimations of data. To infer the prior data, it is assumed that the roofs of the buildings are specified as smooth, and for that purpose local entropy has been implemented. In addition to the a priori estimations, GNSS RTK measurements have been collected in the field which are used as check points to assess the quality of the DSMs and to validate the merging result. The model has been applied in the West-End of Glasgow containing different kinds of buildings, such as flat roofed and hipped roofed buildings. Both quantitative and qualitative methods have been employed to validate the merged DSM. The validation results have shown that the model was successfully able to improve the quality of the DSMs and improving some characteristics such as the roof surfaces, which consequently led to better representations. In addition to that, the developed model has been compared with the well established Maximum Likelihood model and showed similar quantitative statistical results and better qualitative results. Although the proposed model has been applied on DSMs that were derived from satellite imagery, it can be applied to any other sourced DSMs.

  5. Joint estimation fusion and tracking of objects in a single camera using EM-EKF

    Science.gov (United States)

    Sathyaraj. S, Pristley; Leung, Henry

    2013-09-01

    Tracking objects in dynamic scene is an interesting area of research and it has it's applications in many areas like surveillance, missile tracking system,virtual reality and robot vision. Objects in real world exhibit complex interactions with each other. When captured in a video signal, these interactions manifest themselves as in- tertwineing motions , occlusion and pose changes. A video tracking system should track these objects in this complex interactions smoothly . This paper presents a new joint method for tracking moving objects in outdoor and indoor environment. This joint method uses recursive Expectation-Maximization (EM) incorporated with Extended Kalman Filter (EKF) to estimate, fuse and track the object simultaneously, than doing it in two dif- ferent steps. This combined approach provides more realistic solution to the problem. Thereby, outperforming the conventional method of treating it as three di erent problems. We have tested our algorithm with standard dataset and real time video sequences collected from indoor environment. We also nd that the usage of the joint method improves the accuracy and computational cost. This method successfully tracks object with occlusions, di erent orientations and intertwining motion.

  6. Calibration and adjustment of center of mass (COM) based on EKF during in-flight phase

    Institute of Scientific and Technical Information of China (English)

    DONG Feng; LIAO He; JIA ChengLong; XIA XiaoJing

    2009-01-01

    The electrostatic accelerometer, assembled on gravity satellite, serves to measure all non-gravitational accelerations caused by atmosphere drag or solar radiation pressure, etc. The proof-mass center of the accelerometer needs to be precisely positioned at the center of gravity satellite, otherwise, the offset between them will bring measurement disturbance due to angular acceleration of satellite and gradient.Because of installation and measurement errors on the ground, fuel consumption during the in-flight phase and other adverse factors, the offset between the proof-mass center and the satellite center of mass is usually large enough to affect the measurement accuracy of the accelerometer, even beyond its range. Therefore, the offset needs to be measured or estimated, and then be controlled within the measurement requirement of the accelerometer by the center of mass (COM) adjustment mechanism during the life of the satellite. The estimation algorithm based on EKF, which uses the measurement of accelerometer, gyro and magnetometer, is put forward to estimate the offset, and the COM adjustment mechanism then adjusts the satellite center of mass in order to make the offset meet the requirement.With the special configuration layout, the COM adjustment mechanism driven by the stepper motors can separately regulate X, Y and Z axes. The associated simulation shows that the offset can be con-trolled better than 0.03 mm for all the axes with the method mentioned above.

  7. A hybrid algorithm combining EKF and RLS in synchronous estimation of road grade and vehicle' mass for a hybrid electric bus

    Science.gov (United States)

    Sun, Yong; Li, Liang; Yan, Bingjie; Yang, Chao; Tang, Gongyou

    2016-02-01

    This paper proposes a novel hybrid algorithm for simultaneously estimating the vehicle mass and road grade for hybrid electric bus (HEB). First, the road grade in current step is estimated using extended Kalman filter (EKF) with the initial state including velocity and engine torque. Second, the vehicle mass is estimated twice, one with EKF and the other with recursive least square (RLS) using the estimated road grade. A more accurate value of the estimated mass is acquired by weighting the trade-off between EKF and RLS. Finally, the road grade and vehicle mass thus obtained are used as the initial states for the next step, and two variables could be decoupled from the nonlinear vehicle dynamics by performing the above procedure repeatedly. Simulation results show that in different starting conditions, the proposed algorithm provides higher accuracy and faster convergence speed, compared with the results using EKF or RLS alone.

  8. 基于小波包与EKF-RBF神经网络辨识的瓦斯传感器故障诊断%Gas sensor fault diagnosis based on wavelet packet and EKF-RBF neural network identification

    Institute of Scientific and Technical Information of China (English)

    王军号; 孟祥瑞; 吴宏伟

    2011-01-01

    针对瓦斯传感器常见的偏置型、冲击型、漂移型和周期型4种突发型故障,以小波分析和RBF神经网络为基础,提出了由小波包分解提取特征能量谱与扩展Kalman滤波算法(EKF)优化的RBF神经网络进行模式分类辨识的瓦斯传感器故障诊断方法.对瓦斯传感器的输出信号进行小波包分解,运用基于代价函数的局域判别基(LDB)算法进行裁剪,获取最优的特征能量谱,经处理后作为特征向量训练EKF-RBF神经网络,采用参数增广和统计动力学方法,通过带有整定因子的EKF参数估计,用来辨识瓦斯传感器的故障类型.实验结果表明:该方法的辨识正确率在95%以上,误报率和漏报率都明显优于其他算法,能够有效用于瓦斯传感器的故障在线诊断.%For four types of common abrupt faults of gas sensor, namely offset, impact, drift and periodic types, on the basis of wavelet analysis and RBF neural network, a method of the gas sensor fault diagnosis was proposed based on the pattern classification of characteristic energy spectrum extracted by the decomposition of wavelet packet and RBF neural network optimized by Extended Kalman Filter (EKF). The optimal characteristic energy spectrum was obtained through the decomposition of wavelet packet of output signal of gas sensor and optimally cut by Local Discriminant Base (LDB) based on the cost function. After processed, as the characteristic vector for training EKF-RBF neural network, adopted augnented parameters and method of statistical mechanics, and through the EKF parameter estimation with tuning factor, it was used to identify the fault type of sensor. The experimental results show that the identification accuracy is above 95 % ,its rate of false alarm and fail alarm is superior to other algorithms, and the method can be effectively applied to the online fault diagnosis of gas sensor.

  9. Implementing Problem Resolution Models in Remedy

    CERN Document Server

    Marquina, M A; Ramos, R

    2000-01-01

    This paper defines the concept of Problem Resolution Model (PRM) and describes the current implementation made by the User Support unit at CERN. One of the main challenges of User Support services in any High Energy Physics institute/organization is to address solving of the computing-relatedproblems faced by their researchers. The User Support group at CERN is the IT unit in charge of modeling the operations of the Help Desk and acts as asecond level support to some of the support lines whose problems are receptioned at the Help Desk. The motivation behind the use of a PRM is to provide well defined procedures and methods to react in an efficient way to a request for solving a problem,providing advice, information etc. A PRM is materialized on a workflow which has a set of defined states in which a problem can be. Problems move from onestate to another according to actions as decided by the person who is handling them. A PRM can be implemented by a computer application, generallyreferred to as Problem Report...

  10. Spatial Aggregation: Data Model and Implementation

    CERN Document Server

    Gomez, Leticia; Kuijpers, Bart; Vaisman, Alejandro

    2007-01-01

    Data aggregation in Geographic Information Systems (GIS) is only marginally present in commercial systems nowadays, mostly through ad-hoc solutions. In this paper, we first present a formal model for representing spatial data. This model integrates geographic data and information contained in data warehouses external to the GIS. We define the notion of geometric aggregation, a general framework for aggregate queries in a GIS setting. We also identify the class of summable queries, which can be efficiently evaluated by precomputing the overlay of two or more of the thematic layers involved in the query. We also sketch a language, denoted GISOLAP-QL, for expressing queries that involve GIS and OLAP features. In addition, we introduce Piet, an implementation of our proposal, that makes use of overlay precomputation for answering spatial queries (aggregate or not). Our experimental evaluation showed that for a certain class of geometric queries with or without aggregation, overlay precomputation outperforms R-tre...

  11. Croatian Cartographic Data Model, Creation and Implementation

    Directory of Open Access Journals (Sweden)

    Zvonko Biljecki

    2003-09-01

    Full Text Available Croatian project Cartographic Data Model (KMP has been started as a component of the STOKIS (SGA, 1995, Official Topographic and Cartographic Information System project. The cartographic data model conforms to CROTIS (Topographic Information System of the Republic of Croatia. It enables the generation of the cartographic database from topographic one. Classification of data is performed by logical grouping of objects and depends on geometry, type and properties of features. The cartographic data model describes structure of cartographic database and all attributes, categories, types and fields. Description of geometry and exchange of data is performed according to the specification of ISO Standards, adapted by Technical Committee ISO/TC 211, Geographic information/Geomatics and OpenGIS Consortium. Creation of the cartographic data model is the basis for the creation of cartographic database. The next step is direct implementation of vector model that contains graphic and alphanumeric elements. The cartographic key must stay identical to TK25 and maps of other scales.

  12. Attic Hatch Model Implementation Using the Bondgraph

    Directory of Open Access Journals (Sweden)

    Hany Ferdinando

    2004-01-01

    Full Text Available The Bondgraph had been used widely in building and simulating a model. This paper solves a problem in an attic hatch (planar mechanism problem using Bondgraph approach. Planar mechanisms are idealized systems that can translate and rotate in one plane. In the same way as linear translation or uni-axial rotation, planar motions can be considered as a special case of spatial motions of mechanisms. In the attic hatch system, people have to push with lot of power to open it. Then came up an idea to add a mass-pulley mechanism in order to open and close it easily. Before implementing this idea, it needs to simulate it first, because it needs to adjust many parameter combinations. This will also prevent someone to make unnecessary hole while implementing this idea (such as trial and error. This paper only dealt with building and simulating this idea, not going further in the real implementation. The simulation result shows that several parameters should be chosen carefully in order to achieve the final goal, i.e. to open the hatch easily and fast. The 20-Sim simulation package is used to verify the model. Abstract in Bahasa Indonesia : Bondgraph sudah dipergunakan secara luas untuk mensimulasikan sebuah model dari plant. Makalah ini akan membahas permasalahan yang terjadi dalam membuat sebuah attic hatch (pintu ke atap yang biasanya terdapat di rumah-rumah Eropa dengan menggunakan bondgraph. Attic hatch merupakan suatu permasalahan dalam planar mechanism. Planar mechanism ada system ideal yang dapat bertranslasi dan berotasi dalam satu bidang datar. Seperti pada translasi linier atau rotasi pada satu sumbu, gerakan planar dapat digolongkan sebaagai kasus khusus dalam mekanik. Pada attic hatch,orang harus mendorong pintu untuk membukanya. Sehingga muncul suatu ide untuk menambahkan katrol dan beban untuk memudahkan proses buka dan tutupnya. Untuk menambahkan katrol dan beban ini, perlu dilakukan suatu simulasi untuk menghindari pembuatan lobang yang

  13. Dynamic Modeling and Real-Time Monitoring of Froth Flotation

    Directory of Open Access Journals (Sweden)

    Khushaal Popli

    2015-08-01

    Full Text Available A dynamic fundamental model was developed linking processes from the microscopic scale to the equipment scale for batch froth flotation. State estimation, fault detection, and disturbance identification were implemented using the extended Kalman filter (EKF, which reconciles real-time measurements with dynamic models. The online measurements for the EKF were obtained through image analysis of froth images that were captured and analyzed using the commercial package VisioFroth (Metsor Minerals. The extracted image features were then correlated to recovery using principal component analysis and partial least squares regression. The performance of real-time state estimation and fault detection was validated using batch flotation of pure galena at various operating conditions. The image features that were strongly representative of recovery were identified, and calibration and validation were performed against off-line measurements of recovery. The EKF successfully captured the dynamics of the process by updating the model states and parameters using the online measurements. Finally, disturbances in the air flow rate and impeller speed were introduced into the system, and the dynamic behavior of the flotation process was successfully tracked and the disturbances were identified using state estimation.

  14. Making sense of implementation theories, models and frameworks

    National Research Council Canada - National Science Library

    Nilsen, Per

    2015-01-01

    .... The aim of this article is to propose a taxonomy that distinguishes between different categories of theories, models and frameworks in implementation science, to facilitate appropriate selection...

  15. Putting the pieces together: an integrated model of program implementation.

    Science.gov (United States)

    Berkel, Cady; Mauricio, Anne M; Schoenfelder, Erin; Sandler, Irwin N

    2011-03-01

    Considerable evidence indicates that variability in implementation of prevention programs is related to the outcomes achieved by these programs. However, while implementation has been conceptualized as a multidimensional construct, few studies examine more than a single dimension, and no theoretical framework exists to guide research on the effects of implementation. We seek to address this need by proposing a theoretical model of the relations between the dimensions of implementation and outcomes of prevention programs that can serve to guide future implementation research. In this article, we focus on four dimensions of implementation, which we conceptualize as behaviors of program facilitators (fidelity, quality of delivery, and adaptation) and behaviors of participants (responsiveness) and present the evidence supporting these as predictors of program outcomes. We then propose a theoretical model by which facilitator and participant dimensions of implementation influence participant outcomes. Finally, we provide recommendations and directions for future implementation research.

  16. Exposure-response modeling methods and practical implementation

    CERN Document Server

    Wang, Jixian

    2015-01-01

    Discover the Latest Statistical Approaches for Modeling Exposure-Response RelationshipsWritten by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response modeling, from traditional pharmacokinetic-pharmacodynamic (PKPD) modeling to other areas in drug development and beyond. It incorporates numerous examples and software programs for implementing novel methods.The book describes using measurement

  17. A Practical Method for Implementing an Attitude and Heading Reference System

    Directory of Open Access Journals (Sweden)

    Rodrigo Munguía

    2014-04-01

    Full Text Available This paper describes a practical and reliable algorithm for implementing an Attitude and Heading Reference System (AHRS. This kind of system is essential for real time vehicle navigation, guidance and control applications. When low cost sensors are used, efficient and robust algorithms are required for performance to be acceptable. The proposed method is based on an Extended Kalman Filter (EKF in a direct configuration. In this case, the filter is explicitly derived from both the kinematic and error models. The selection of this kind of EKF configuration can help in ensuring a tight integration of the method for its use in filter-based localization and mapping systems in autonomous vehicles. Experiments with real data show that the proposed method is able to maintain an accurate and drift-free attitude and heading estimation. An additional result is to show that there is no ostensible reason for preferring that the filter have an indirect configuration over a direct configuration for implementing an AHRS system.

  18. Digital Anthropometry: Model, Implementation, and Application

    Directory of Open Access Journals (Sweden)

    Katrina Joy H. Magno

    2014-06-01

    Full Text Available – In this paper, we provide a mathematical framework for identifying and measuring human body parts. We used this framework to implement a computer-based measurement for the purpose of automating the usual manual process of anthropometry. To test the computer-based system, we measured the hands of 91 individuals using both the manual and the computer-based system. Based on two-tailed t-test, the computer-based system has the same measurement as the manual system at 5% level of significance.

  19. Implementation of WPDL Conforming Workflow Model

    Institute of Scientific and Technical Information of China (English)

    张志君; 范玉顺

    2003-01-01

    Workflow process definition language (WPDL) facilitates the transfer of workflow process definitions between separate workflow products. However, much work is still needed to transfer the specific workflow model to a WPDL conforming model. CIMFlow is a workflow management system developed by the National CIMS Engineering Research Center. This paper discusses the methods by which the CIMFlow model conforms to the WPDL meta-model and the differences between the WPDL meta-model and the CIMFlow model. Some improvements are proposed for the WPDL specification. Finally, the mapping and translating methods between the entities and attributes are given for the two models. The proposed methods and improvements are valuable as a reference for other mapping applications and the WPDL specification.

  20. Subsea acoustic metrology of jumper&spool based on EKF-SLAM algorithm%基于EKF-SLAM算法的水下膨胀弯测量技术

    Institute of Scientific and Technical Information of China (English)

    隋海琛; 王崇明; 雷鹏

    2015-01-01

    Subsea metrology surveys are conducted to determine accurately the relative horizontal and vertical distance between subsea assets, as well as their relative heading and attitude. This information is then used by pipe-line engineers to design connection pieces to join the assets together. Based on acoustic measurement technology and the fusion of acoustic positioning, inertial navigation, Doppler velocity log, pressure gauge, sound velocity meter data under water, the EKF-SLAM algorithm was described in this paper. It can realize the cm level accuracy, and operating mode is simple, no depth and visibility constraints. It can effectively improve the work efficiency to save the time and cost.%水下计量技术普遍应用于海管法兰之间相对空间位置和方位角的测量,其结果直接关系到水下膨胀弯的设计和预制是否准确.文章阐述了基于EKF-SLAM算法,融合水下声学定位、惯性导航、多普勒计程仪、压力计、声速计等数据的水下声学惯导计量技术,它能够实现厘米级的测量精度,而且作业方式简单,不受水深和能见度的限制,可有效提高海上工作效率,节约海上施工成本.

  1. A model based security testing method for protocol implementation.

    Science.gov (United States)

    Fu, Yu Long; Xin, Xiao Long

    2014-01-01

    The security of protocol implementation is important and hard to be verified. Since the penetration testing is usually based on the experience of the security tester and the specific protocol specifications, a formal and automatic verification method is always required. In this paper, we propose an extended model of IOLTS to describe the legal roles and intruders of security protocol implementations, and then combine them together to generate the suitable test cases to verify the security of protocol implementation.

  2. A Model Based Security Testing Method for Protocol Implementation

    Directory of Open Access Journals (Sweden)

    Yu Long Fu

    2014-01-01

    Full Text Available The security of protocol implementation is important and hard to be verified. Since the penetration testing is usually based on the experience of the security tester and the specific protocol specifications, a formal and automatic verification method is always required. In this paper, we propose an extended model of IOLTS to describe the legal roles and intruders of security protocol implementations, and then combine them together to generate the suitable test cases to verify the security of protocol implementation.

  3. Implementation of a network model of hysteresis

    Energy Technology Data Exchange (ETDEWEB)

    Gruosso, G. [Dipartimento Elettronica e Informazione, Politecnico di Milano, P.za Leonardo da Vinci 32, I-20133 Milan (Italy); Repetto, M. [Dipartimento Ingegneria Elettrica, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Turin (Italy)]. E-mail: maurizio.repetto@polito.it

    2006-02-01

    A network model of hysteresis based on elementary cells made up with piece-wise linear resistors and a linear capacitor has been presented in the literature and its theoretical properties have been investigated. This model allows to simulate hysteresis in a circuit solver without requiring any modification to its source code. Despite its appealing features, some cautions must be used for the treatment of the interface between the model and the rest of the circuit and for the handling of nonlinear resistors which can introduce some convergence problems in the network solution. These topics are investigated and some results on a simple test case are presented and discussed.

  4. A low false negative filter for detecting rare bird species from short video segments using a probable observation data set-based EKF method.

    Science.gov (United States)

    Song, Dezhen; Xu, Yiliang

    2010-09-01

    We report a new filter to assist the search for rare bird species. Since a rare bird only appears in front of a camera with very low occurrence (e.g., less than ten times per year) for very short duration (e.g., less than a fraction of a second), our algorithm must have a very low false negative rate. We verify the bird body axis information with the known bird flying dynamics from the short video segment. Since a regular extended Kalman filter (EKF) cannot converge due to high measurement error and limited data, we develop a novel probable observation data set (PODS)-based EKF method. The new PODS-EKF searches the measurement error range for all probable observation data that ensures the convergence of the corresponding EKF in short time frame. The algorithm has been extensively tested using both simulated inputs and real video data of four representative bird species. In the physical experiments, our algorithm has been tested on rock pigeons and red-tailed hawks with 119 motion sequences. The area under the ROC curve is 95.0%. During the one-year search of ivory-billed woodpeckers, the system reduces the raw video data of 29.41 TB to only 146.7 MB (reduction rate 99.9995%).

  5. Embedded systems development from functional models to implementations

    CERN Document Server

    Zeng, Haibo; Natale, Marco; Marwedel, Peter

    2014-01-01

    This book offers readers broad coverage of techniques to model, verify and validate the behavior and performance of complex distributed embedded systems.  The authors attempt to bridge the gap between the three disciplines of model-based design, real-time analysis and model-driven development, for a better understanding of the ways in which new development flows can be constructed, going from system-level modeling to the correct and predictable generation of a distributed implementation, leveraging current and future research results.     Describes integration of heterogeneous models; Discusses synthesis of task model implementations and code implementations; Compares model-based design vs. model-driven approaches; Explains how to enforce correctness by construction in the functional and time domains; Includes optimization techniques for control performance.

  6. Modelling and Implementation of Catalogue Cards Using FreeMarker

    Science.gov (United States)

    Radjenovic, Jelen; Milosavljevic, Branko; Surla, Dusan

    2009-01-01

    Purpose: The purpose of this paper is to report on a study involving the specification (using Unified Modelling Language (UML) 2.0) of information requirements and implementation of the software components for generating catalogue cards. The implementation in a Java environment is developed using the FreeMarker software.…

  7. Modelling and Implementation of Catalogue Cards Using FreeMarker

    Science.gov (United States)

    Radjenovic, Jelen; Milosavljevic, Branko; Surla, Dusan

    2009-01-01

    Purpose: The purpose of this paper is to report on a study involving the specification (using Unified Modelling Language (UML) 2.0) of information requirements and implementation of the software components for generating catalogue cards. The implementation in a Java environment is developed using the FreeMarker software.…

  8. Implementing a Dominican Model of Leadership

    Science.gov (United States)

    Otte, Suzanne

    2015-01-01

    Leadership theories that rely on personal traits, situations, and actions were developed for an industrial world and have become less effective as the world becomes more globalized, networked, and collaborative (Komives et al. 2005). Values-centered models of leadership highlighting collaboration, inclusiveness, empowerment, and ethics have…

  9. Implementing a Dominican Model of Leadership

    Science.gov (United States)

    Otte, Suzanne

    2015-01-01

    Leadership theories that rely on personal traits, situations, and actions were developed for an industrial world and have become less effective as the world becomes more globalized, networked, and collaborative (Komives et al. 2005). Values-centered models of leadership highlighting collaboration, inclusiveness, empowerment, and ethics have…

  10. Implementation science in the real world: a streamlined model.

    Science.gov (United States)

    Knapp, Herschel; Anaya, Henry D

    2012-01-01

    The process of quality improvement may involve enhancing or revising existing practices or the introduction of a novel element. Principles of Implementation Science provide key theories to guide these processes, however, such theories tend to be highly technical in nature and do not provide pragmatic nor streamlined approaches to real-world implementation. This paper presents a concisely comprehensive six step theory-based Implementation Science model that we have successfully used to launch more than two-dozen self-sustaining implementations. In addition, we provide an abbreviated case study in which we used our streamlined theoretical model to successfully guide the development and implementation of an HIV testing/linkage to care campaign in homeless shelter settings in Los Angeles County.

  11. Implementation of IEC Generic Model Type 1A using RTDS

    DEFF Research Database (Denmark)

    Cha, Seung-Tae; Wu, Qiuwei; Zhao, Haoran

    2012-01-01

    This paper presents the implementation of the IEC generic model of Type 1 wind turbine generator (WTG) in the real time digital simulator (RTDS) environment. The model is based on the IEC 61400 TC88 under wind turbine working group’s standardization efforts are implemented. Several case studies...... have been carried out to verify the dynamic performance of the IEC generic Type 1 WTG model under both steady state and dynamic conditions. The case study results show that the IEC generic Type 1 WTG model can represent the relevant dynamic behaviour of wind power generation to ensure grid integration...

  12. Difficulties when implementing the CMMI organizational model

    Directory of Open Access Journals (Sweden)

    Himelda Palacios

    2012-08-01

    Full Text Available Rev.esc.adm.neg Esta investigación analiza y propone estrategias de intervención que permiten identificar y superar los obstáculos de aprendizaje organizacional, que experimenta una organización cuando decide implantar el modelo de calidad para el desarrollo y mantenimiento de software, CMMI (Capability Maturity Model Integrated. Implantar el CMMI es más que definir procesos, procedimientos y formatos, lo que realmente implica es cambiar la cultura organizacional de las áreas y/o empresas de desarrollo de software, cambiar el comportamiento de los Ingenieros de Software. Las estrategias de intervención propuestas facilitan el cambio de la cultura organizacional requerido, para que una organización dedicada al desarrollo y mantenimiento de software pueda alcanzar con éxito los niveles de madurez definidos por el modelo CMMI. Este cambio de cultura implica orientar a la organización hacia los lineamientos definidos por la gestión de la calidad del software, la ingeniería de software, la gerencia de proyectos, la gerencia de procesos, el mejoramiento continuo de procesos, la gestión cuantitativa de procesos y el aprendizaje continuo.

  13. 基于EKF和Lyapunov函数的移动机器人轨迹跟踪控制%The Mobile Robot Trajectory Tracking Control Based on the EKF and the Lyapunov Function

    Institute of Scientific and Technical Information of China (English)

    王静; 蒋刚

    2013-01-01

    针对轮式移动机器人在实际运行中受环境因数影响的情况,采用扩展卡尔曼滤波(EKF)算法融合里程计与超声波的观测数据,对机器人的参考轨迹信息进行校正.在机器人动力学模型的基础上,运用Lyapunov直接法,构造具有全局渐近稳定的跟踪控制器,对机器人进行轨迹跟踪.根据Lyapunov稳定性定理证明了系统的全局稳定性.仿真结果表明,数据滤波与Lyapunov方法结合的跟踪控制器效果良好.%According to the fact that the wheeled mobile robots are influenced by the environmental factor in practice,the information of reference trajectory of the robot was corrected by using the extended Kalman filter (EKF) algorithm fusion odometry and ultrasonic observation data.Based on the robot dynamic model,a global asymptotical stable tracking controller was constructed by using the Lyapunov direct method,and the global stability of the system was proved by using Lyapunov stability theorem.The simulation results of this paper showed that the tracking controller,which combined both the data filtering and Lyapunov method,has better efficiency.

  14. Model of key success factors for Business Intelligence implementation

    Directory of Open Access Journals (Sweden)

    Peter Mesaros

    2016-07-01

    Full Text Available New progressive technologies recorded growth in every area. Information-communication technologies facilitate the exchange of information and it facilitates management of everyday activities in enterprises. Specific modules (such as Business Intelligence facilitate decision-making. Several studies have demonstrated the positive impact of Business Intelligence to decision-making. The first step is to put in place the enterprise. The implementation process is influenced by many factors. This article discusses the issue of key success factors affecting to successful implementation of Business Intelligence. The article describes the key success factors for successful implementation and use of Business Intelligence based on multiple studies. The main objective of this study is to verify the effects and dependence of selected factors and proposes a model of key success factors for successful implementation of Business Intelligence. Key success factors and the proposed model are studied in Slovak enterprises.

  15. Samnett: the EMPS model with power flow constraints: implementation details

    Energy Technology Data Exchange (ETDEWEB)

    Helseth, Arild; Warland, Geir; Mo, Birger; Fosso, Olav B.

    2011-12-15

    This report describes the development and implementation of Samnett. Samnett is a new prototype for solving the coupled market and transmission network problem. The prototype is based on the EMPS model (Samkjoeringsmodellen). Results from the market model are distributed to a detailed transmission network model, where a DC power flow detects if there are overloads on monitored lines or interconnections. In case of overloads, power flow constraints are generated and added to the market problem. This report is an updated version of TR A6891 {sup I}mplementing Network Constraints in the EMPS model{sup .} It further elaborates on theoretical and implementation details in Samnett, but does not contain the case studies and file descriptions presented in TR A6891.(auth)

  16. Automatic generation of computable implementation guides from clinical information models.

    Science.gov (United States)

    Boscá, Diego; Maldonado, José Alberto; Moner, David; Robles, Montserrat

    2015-06-01

    Clinical information models are increasingly used to describe the contents of Electronic Health Records. Implementation guides are a common specification mechanism used to define such models. They contain, among other reference materials, all the constraints and rules that clinical information must obey. However, these implementation guides typically are oriented to human-readability, and thus cannot be processed by computers. As a consequence, they must be reinterpreted and transformed manually into an executable language such as Schematron or Object Constraint Language (OCL). This task can be difficult and error prone due to the big gap between both representations. The challenge is to develop a methodology for the specification of implementation guides in such a way that humans can read and understand easily and at the same time can be processed by computers. In this paper, we propose and describe a novel methodology that uses archetypes as basis for generation of implementation guides. We use archetypes to generate formal rules expressed in Natural Rule Language (NRL) and other reference materials usually included in implementation guides such as sample XML instances. We also generate Schematron rules from NRL rules to be used for the validation of data instances. We have implemented these methods in LinkEHR, an archetype editing platform, and exemplify our approach by generating NRL rules and implementation guides from EN ISO 13606, openEHR, and HL7 CDA archetypes.

  17. Implementations and interpretations of the talbot-ogden infiltration model

    KAUST Repository

    Seo, Mookwon

    2014-11-01

    The interaction between surface and subsurface hydrology flow systems is important for water supplies. Accurate, efficient numerical models are needed to estimate the movement of water through unsaturated soil. We investigate a water infiltration model and develop very fast serial and parallel implementations that are suitable for a computer with a graphical processing unit (GPU).

  18. Implementation of IEC Standard Models for Power System Stability Studies

    DEFF Research Database (Denmark)

    Margaris, Ioannis; Hansen, Anca Daniela; Bech, John

    2012-01-01

    This paper presents the implementation of the generic wind turbine generator (WTG) electrical simulation models proposed in the IEC 61400-27 standard which is currently in preparation. A general overview of the different WTG types is given while the main focus is on Type 4B WTG standard models...

  19. Simulink Implementation of Indirect Vector Control of Induction Machine Model

    Directory of Open Access Journals (Sweden)

    V. Dhanunjayanaidu

    2014-04-01

    Full Text Available In this paper, a modular Simulink implementation of an induction machine model is described in a step-by-step approach. With the modular system, each block solves one of the model equations; therefore, unlike in black box models, all of the machine parameters are accessible for control and verification purposes.After the implementation, examples are given with the model used in different drive applications, such as open-loop constant V/Hz control and indirect vector control. To implement the induction machine model, the dynamic equivalent circuit of induction motor is taken and the model equations in flux linkage form are derived.Then the model is implemented in Simulink by transforming three phase voltages to d-q frame and the d-q currents back to three phase, also it includes unit vector calculation and induction machine d-q model.The inputs here are three phase voltages, load torque, speed of stator and the outputs are flux linkages and currents, electrical torque and speed of rotor.

  20. Implementation of an anisotropic mechanical model for shale in Geodyn

    Energy Technology Data Exchange (ETDEWEB)

    Attia, A; Vorobiev, O; Walsh, S

    2015-05-15

    The purpose of this report is to present the implementation of a shale model in the Geodyn code, based on published rock material models and properties that can help a petroleum engineer in his design of various strategies for oil/gas recovery from shale rock formation.

  1. VLSI circuits implementing computational models of neocortical circuits.

    Science.gov (United States)

    Wijekoon, Jayawan H B; Dudek, Piotr

    2012-09-15

    This paper overviews the design and implementation of three neuromorphic integrated circuits developed for the COLAMN ("Novel Computing Architecture for Cognitive Systems based on the Laminar Microcircuitry of the Neocortex") project. The circuits are implemented in a standard 0.35 μm CMOS technology and include spiking and bursting neuron models, and synapses with short-term (facilitating/depressing) and long-term (STDP and dopamine-modulated STDP) dynamics. They enable execution of complex nonlinear models in accelerated-time, as compared with biology, and with low power consumption. The neural dynamics are implemented using analogue circuit techniques, with digital asynchronous event-based input and output. The circuits provide configurable hardware blocks that can be used to simulate a variety of neural networks. The paper presents experimental results obtained from the fabricated devices, and discusses the advantages and disadvantages of the analogue circuit approach to computational neural modelling.

  2. From Implement to Outcrop: a model for identifying implement source rock at outcrop

    Directory of Open Access Journals (Sweden)

    Amy Davis

    2009-09-01

    Full Text Available Traditionally, the sourcing of prehistoric stone tools in Britain has been done most successfully by comparing the petrological and geochemical characteristics of individual stone tools with rock and debitage from known prehistoric quarry sites and stone tool production sites. However, this is a very rare occurrence because only a very small proportion of stone tools in Britain have a secure archaeological provenance, including those from prehistoric quarries or production sites. Substantial numbers of stone tools in the British archaeological record are chance finds; they lack a secure archaeological context. Through a case study of Carrock Fell and the Implement Petrology Group XXXIV, this article presents a new methodological and statistical model for assembling, analysing and interpreting fieldwork evidence, which combines petrological, geochemical portable X-ray fluorescence (PXRF data, and geochemical inductively coupled plasma-atomic spectroscopy (ICP data to establish a signature for 17 gabbroic prehistoric stone implements (Table 1. These results are then compared with similar data gathered from rocks at outcrop. Through qualitative and quantitative analysis, seven gabbroic implements could be securely provenanced to rock from particular outcrop locations. The model is transferable to other similar contexts where sources of implement rock are sought from apparently random distributions of stone tools.

  3. Showcasing leadership exemplars to propel professional practice model implementation.

    Science.gov (United States)

    Storey, Susan; Linden, Elizabeth; Fisher, Mary L

    2008-03-01

    Implementing a professional practice model is a highly complex organizational change that requires expert leadership to be successful. What are the aspects of successful leadership in implementing such a practice change, and how can those behaviors be transferred to other leaders? The authors describe qualitative research that examined this question by interviewing key leaders who are seen by peers as exemplifying the components and intent of one professional practice model. Using their responses to educate peers is seen as a method to expand their best practices. The authors recommend methods to disseminate these best practices in other organizations.

  4. An Open Source modular platform for hydrological model implementation

    Science.gov (United States)

    Kolberg, Sjur; Bruland, Oddbjørn

    2010-05-01

    An implementation framework for setup and evaluation of spatio-temporal models is developed, forming a highly modularized distributed model system. The ENKI framework allows building space-time models for hydrological or other environmental purposes, from a suite of separately compiled subroutine modules. The approach makes it easy for students, researchers and other model developers to implement, exchange, and test single routines in a fixed framework. The open-source license and modular design of ENKI will also facilitate rapid dissemination of new methods to institutions engaged in operational hydropower forecasting or other water resource management. Written in C++, ENKI uses a plug-in structure to build a complete model from separately compiled subroutine implementations. These modules contain very little code apart from the core process simulation, and are compiled as dynamic-link libraries (dll). A narrow interface allows the main executable to recognise the number and type of the different variables in each routine. The framework then exposes these variables to the user within the proper context, ensuring that time series exist for input variables, initialisation for states, GIS data sets for static map data, manually or automatically calibrated values for parameters etc. ENKI is designed to meet three different levels of involvement in model construction: • Model application: Running and evaluating a given model. Regional calibration against arbitrary data using a rich suite of objective functions, including likelihood and Bayesian estimation. Uncertainty analysis directed towards input or parameter uncertainty. o Need not: Know the model's composition of subroutines, or the internal variables in the model, or the creation of method modules. • Model analysis: Link together different process methods, including parallel setup of alternative methods for solving the same task. Investigate the effect of different spatial discretization schemes. o Need not

  5. Lean business model and implementation of a geriatric fracture center.

    Science.gov (United States)

    Kates, Stephen L

    2014-05-01

    Geriatric hip fracture is a common event associated with high costs of care and often with suboptimal outcomes for the patients. Ideally, a new care model to manage geriatric hip fractures would address both quality and safety of patient care as well as the need for reduced costs of care. The geriatric fracture center model of care is one such model reported to improve both outcomes and quality of care. It is a lean business model applied to medicine. This article describes basic lean business concepts applied to geriatric fracture care and information needed to successfully implement a geriatric fracture center. It is written to assist physicians and surgeons in their efforts to implement an improved care model for their patients. Copyright © 2014 Elsevier Inc. All rights reserved.

  6. Implementing Model-Check for Employee and Management Satisfaction

    Science.gov (United States)

    Jones, Corey; LaPha, Steven

    2013-01-01

    This presentation will discuss methods to which ModelCheck can be implemented to not only improve model quality, but also satisfy both employees and management through different sets of quality checks. This approach allows a standard set of modeling practices to be upheld throughout a company, with minimal interaction required by the end user. The presenter will demonstrate how to create multiple ModelCheck standards, preventing users from evading the system, and how it can improve the quality of drawings and models.

  7. Gradient Plasticity Model and its Implementation into MARMOT

    Energy Technology Data Exchange (ETDEWEB)

    Barker, Erin I.; Li, Dongsheng; Zbib, Hussein M.; Sun, Xin

    2013-08-01

    The influence of strain gradient on deformation behavior of nuclear structural materials, such as boby centered cubic (bcc) iron alloys has been investigated. We have developed and implemented a dislocation based strain gradient crystal plasticity material model. A mesoscale crystal plasticity model for inelastic deformation of metallic material, bcc steel, has been developed and implemented numerically. Continuum Dislocation Dynamics (CDD) with a novel constitutive law based on dislocation density evolution mechanisms was developed to investigate the deformation behaviors of single crystals, as well as polycrystalline materials by coupling CDD and crystal plasticity (CP). The dislocation density evolution law in this model is mechanism-based, with parameters measured from experiments or simulated with lower-length scale models, not an empirical law with parameters back-fitted from the flow curves.

  8. VAR, SVAR and SVEC Models: Implementation Within R Package vars

    Directory of Open Access Journals (Sweden)

    Bernhard Pfaff

    2008-02-01

    Full Text Available The structure of the package vars and its implementation of vector autoregressive, structural vector autoregressive and structural vector error correction models are explained in this paper. In addition to the three cornerstone functions VAR(, SVAR( and SVEC( for estimating such models, functions for diagnostic testing, estimation of a restricted models, prediction, causality analysis, impulse response analysis and forecast error variance decomposition are provided too. It is further possible to convert vector error correction models into their level VAR representation. The different methods and functions are elucidated by employing a macroeconomic data set for Canada. However, the focus in this writing is on the implementation part rather than the usage of the tools at hand.

  9. Hybrids of Gibbs Point Process Models and Their Implementation

    Directory of Open Access Journals (Sweden)

    Adrian Baddeley

    2013-11-01

    Full Text Available We describe a simple way to construct new statistical models for spatial point pattern data. Taking two or more existing models (finite Gibbs spatial point processes we multiply the probability densities together and renormalise to obtain a new probability density. We call the resulting model a hybrid. We discuss stochastic properties of hybrids, their statistical implications, statistical inference, computational strategies and software implementation in the R package spatstat. Hybrids are particularly useful for constructing models which exhibit interaction at different spatial scales. The methods are demonstrated on a real data set on human social interaction. Software and data are provided.

  10. Theoretic models for recommendation and implementation of assistive technology

    Directory of Open Access Journals (Sweden)

    Ana Cristina de Jesus Alves

    2016-07-01

    Full Text Available Introduction: The latest international researches seek to understand the factors affecting the successful use of assistive technology devices through studies regarding the assessments systematizing; abandonment of devices; or theoric models that consider the aspects of those devices implementation. In Brazil the researches are focused on developing new technologies and there are still not sufficient studies related to the successful use of devices and ways of assistive technology implementation. Objective: To identify conceptual models used for indication and implementation of assistive technology devices. Method: Literature review. The survey was conducted in six databases: CINAHAL, Eric, GALE, LILACS, MEDLINE e PsycInfo. A critical analysis described by Grant and Booth was used. Results: There are no records of a Brazilian survey and among 29 selected articles, 17 conceptual models used in the area of AT were found; of these, 14 were specific to AT. The results showed that the new conceptual models of TA are under development and the conceptual model “Matching Person and Technology – MPT” was the most mentioned. Conclusion: We can observe that the practices related to TA area in international context shows a correlation with conceptual models, thus, we hope this study might have the capacity to contribute for the propagation of this precepts at national level

  11. Method for SLAM Based on Omnidirectional Vision: A Delayed-EKF Approach

    Directory of Open Access Journals (Sweden)

    Rodrigo Munguía

    2017-01-01

    Full Text Available This work presents a method for implementing a visual-based simultaneous localization and mapping (SLAM system using omnidirectional vision data, with application to autonomous mobile robots. In SLAM, a mobile robot operates in an unknown environment using only on-board sensors to simultaneously build a map of its surroundings, which it uses to track its position. The SLAM is perhaps one of the most fundamental problems to solve in robotics to build mobile robots truly autonomous. The visual sensor used in this work is an omnidirectional vision sensor; this sensor provides a wide field of view which is advantageous in a mobile robot in an autonomous navigation task. Since the visual sensor used in this work is monocular, a method to recover the depth of the features is required. To estimate the unknown depth we propose a novel stochastic triangulation technique. The system proposed in this work can be applied to indoor or cluttered environments for performing visual-based navigation when GPS signal is not available. Experiments with synthetic and real data are presented in order to validate the proposal.

  12. Model-Driven Development in implementing integration flows

    Directory of Open Access Journals (Sweden)

    Tomasz Górski

    2015-04-01

    Full Text Available Integration of many different IT systems makes the integration project highly complex. The process of constructing architectural models and source code can be automated through the application of transformations. As a result, the duration time of designing or implementa-tion, as well as the work input involved can be reduced. The purpose of the paper is to pre-sent an approach to automation of designing one of the key elements of an integration platform, namely, integration flows. The author proposes model-to-code transformation In-tegrationFlow-to-Java which automates the implementation of integration flows applica-tions for selected mediation patterns. The integration flows generator has been incorporated as a plug-in into the IBM Rational Software Architect (RSA. The RSA plug-in which generates complete Java EE application of integration flow from mediation flows diagram. Thus eliminates design and programming stage in WebSphere Integration Devel-oper which reduces development time and costs of licenses. Model-Driven Development is approach which can lead to automation of design and programming stage in software de-velopment. The IntegrationFlow-to-Java transformation offers an opportunity to reduce the duration time of the integration flows implementation forty times (with one hundred flows to be implemented. The outcomes support the significance of using transformations when designing complex IT systems, especially when integration solutions are developed.

  13. NLOS环境下基于EKF的移动机器人定位研究%Reach on Robot Localization Based on EKF in NLOS Environment

    Institute of Scientific and Technical Information of China (English)

    张凤; 黄陆君; 袁帅; 戴敬; 黄宽

    2015-01-01

    To improve the accuracy of localization of mobile robot in indoor environment, an algorithm based on motion model is proposed in this paper. Forecasting of RSSI is proposed according to the motion model, and mean of the bias of prediction are applied to correct the polluted measurements. The presented method first proposes a way for NLOS identification and mitigation, then trilateration is replaced by computing the intersections of each two circles and a weighted average is applied to gain the position of the robot in which step-size is taken into account as the positioning range qualification, finally the extended Kalman filter is applied to gain the optimal estimation of localization. Effectiveness of the localization method is proved by simulation, in which the presented method gains an excellent performance especially when NLOS errors occur.%针对室内移动机器人基于接收信号强度(RSSI,Received Signal Strength Indication)测距定位存在非视距(NLOS,Not-line-of-sight)传播问题,提出一种利用运动模型预测RSSI并修正NLOS测量的定位算法。首先结合移动机器人运动模型预测位置和信号强度RSSI,进而实现NLOS误差判定和测量修正;然后结合步长将移动机器人限制到圆域内,采用改进三边定位算法定位;最后使用扩展卡尔曼滤波(EKF, extended Kalman Filter)进行定位结果优化,得到位置的优化估计。仿真实验表明,该方法能有效地提高定位精度,能有效抑制具有较大量值的NLOS误差,是NLOS环境下一种有效的定位方法。

  14. A Neuron Model for FPGA Spiking Neuronal Network Implementation

    Directory of Open Access Journals (Sweden)

    BONTEANU, G.

    2011-11-01

    Full Text Available We propose a neuron model, able to reproduce the basic elements of the neuronal dynamics, optimized for digital implementation of Spiking Neural Networks. Its architecture is structured in two major blocks, a datapath and a control unit. The datapath consists of a membrane potential circuit, which emulates the neuronal dynamics at the soma level, and a synaptic circuit used to update the synaptic weight according to the spike timing dependent plasticity (STDP mechanism. The proposed model is implemented into a Cyclone II-Altera FPGA device. Our results indicate the neuron model can be used to build up 1K Spiking Neural Networks on reconfigurable logic suport, to explore various network topologies.

  15. Model-implementation fidelity in cyber physical system design

    CERN Document Server

    Fabre, Christian

    2017-01-01

    This book puts in focus various techniques for checking modeling fidelity of Cyber Physical Systems (CPS), with respect to the physical world they represent. The authors' present modeling and analysis techniques representing different communities, from very different angles, discuss their possible interactions, and discuss the commonalities and differences between their practices. Coverage includes model driven development, resource-driven development, statistical analysis, proofs of simulator implementation, compiler construction, power/temperature modeling of digital devices, high-level performance analysis, and code/device certification. Several industrial contexts are covered, including modeling of computing and communication, proof architectures models and statistical based validation techniques. Addresses CPS design problems such as cross-application interference, parsimonious modeling, and trustful code production Describes solutions, such as simulation for extra-functional properties, extension of cod...

  16. Modeling of enterprise information systems implementation: a preliminary investigation

    Science.gov (United States)

    Yusuf, Yahaya Y.; Abthorpe, M. S.; Gunasekaran, Angappa; Al-Dabass, D.; Onuh, Spencer

    2001-10-01

    The business enterprise has never been in greater need of Agility and the current trend will continue unabated well into the future. It is now recognized that information system is both the foundation and a necessary condition for increased responsiveness. A successful implementation of Enterprise Resource Planning (ERP) can help a company to move towards delivering on its competitive objectives as it enables suppliers to reach out to customers beyond the borders of traditional market defined by geography. The cost of implementation, even when it is successful, could be significant. Bearing in mind the potential strategic benefits, it is important that the implementation project is managed effectively. To this end a project cost model against which to benchmark ongoing project expenditure versus activities completed has been proposed in this paper.

  17. An Implementation Model of Parlay MMCCS API Based on SIP

    Institute of Scientific and Technical Information of China (English)

    GUAN You-qing; SHEN Su-bin

    2006-01-01

    Parlay Multi Media Call Control Services(MMCCS) Application Programming Interfaces (API) based on Session Initiation Protocol (SIP) is essential for the implementation of Parlay Call Control (CC) API. This paper first proposes an implementation model of Parlay MMCCS API based on SIP, then presents a mapping between SIP and MMCCS API as far as methods and parameters are concerned, illustrates corresponding relationships between different components of SIP and MMCCS API by means of an application collaboration diagram, and finally presents an application using Java codes as well as some SIP messages. The application shows that a majority of MMCCS API based on SIP can be implemented and therefore verifies our mapping between MMCCS API and SIP.

  18. Towards a CPN-Based Modelling Approach for Reconciling Verification and Implementation of Protocol Models

    DEFF Research Database (Denmark)

    Simonsen, Kent Inge; Kristensen, Lars Michael

    2013-01-01

    and implementation. Our approach has been developed in the context of the Coloured Petri Nets (CPNs) modelling language. We illustrate our approach by presenting a descriptive specification model of the Websocket protocol which is currently under development by the Internet Engineering Task Force (IETF), and we show......Formal modelling of protocols is often aimed at one specific purpose such as verification or automatically generating an implementation. This leads to models that are useful for one purpose, but not for others. Being able to derive models for verification and implementation from a single model...

  19. Sensorless SPMSM Position Estimation Using Position Estimation Error Suppression Control and EKF in Wide Speed Range

    OpenAIRE

    Zhanshan Wang; Longhu Quan; Xiuchong Liu

    2014-01-01

    The control of a high performance alternative current (AC) motor drive under sensorless operation needs the accurate estimation of rotor position. In this paper, one method of accurately estimating rotor position by using both motor complex number model based position estimation and position estimation error suppression proportion integral (PI) controller is proposed for the sensorless control of the surface permanent magnet synchronous motor (SPMSM). In order to guarantee the accuracy of rot...

  20. Implementation of building information modeling in Malaysian construction industry

    Science.gov (United States)

    Memon, Aftab Hameed; Rahman, Ismail Abdul; Harman, Nur Melly Edora

    2014-10-01

    This study has assessed the implementation level of Building Information Modeling (BIM) in the construction industry of Malaysia. It also investigated several computer software packages facilitating BIM and challenges affecting its implementation. Data collection for this study was carried out using questionnaire survey among the construction practitioners. 95 completed forms of questionnaire received against 150 distributed questionnaire sets from consultant, contractor and client organizations were analyzed statistically. Analysis findings indicated that the level of implementation of BIM in the construction industry of Malaysia is very low. Average index method employed to assess the effectiveness of various software packages of BIM highlighted that Bentley construction, AutoCAD and ArchiCAD are three most popular and effective software packages. Major challenges to BIM implementation are it requires enhanced collaboration, add work to a designer, interoperability and needs enhanced collaboration. For improving the level of implementing BIM in Malaysian industry, it is recommended that a flexible training program of BIM for all practitioners must be created.

  1. Calibration and adjustment of center of mass(COM) based on EKF during in-flight phase

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    The electrostatic accelerometer,assembled on gravity satellite,serves to measure all non-gravitational accelerations caused by atmosphere drag or solar radiation pressure,etc.The proof-mass center of the accelerometer needs to be precisely positioned at the center of gravity satellite,otherwise,the offset between them will bring measurement disturbance due to angular acceleration of satellite and gradient.Because of installation and measurement errors on the ground,fuel consumption during the in-flight phase and other adverse factors,the offset between the proof-mass center and the satellite center of mass is usually large enough to affect the measurement accuracy of the accelerometer,even beyond its range.Therefore,the offset needs to be measured or estimated,and then be controlled within the measurement requirement of the accelerometer by the center of mass(COM) adjustment mechanism during the life of the satellite.The estimation algorithm based on EKF,which uses the measurement of accelerometer,gyro and magnetometer,is put forward to estimate the offset,and the COM adjustment mechanism then adjusts the satellite center of mass in order to make the offset meet the requirement.With the special configuration layout,the COM adjustment mechanism driven by the stepper motors can separately regulate X,Y and Z axes.The associated simulation shows that the offset can be con-trolled better than 0.03 mm for all the axes with the method mentioned above.

  2. Automated Stellar Classification for Large Surveys with EKF and RBF Neural Networks

    Institute of Scientific and Technical Information of China (English)

    Ling Bai; Ping Guo; Zhan-Yi Hu

    2005-01-01

    An automated classification technique for large size stellar surveys is proposed. It uses the extended Kalman filter as a feature selector and pre-classifier of the data, and the radial basis function neural networks for the classification.Experiments with real data have shown that the correct classification rate can reach as high as 93%, which is quite satisfactory. When different system models are selected for the extended Kalman filter, the classification results are relatively stable. It is shown that for this particular case the result using extended Kalman filter is better than using principal component analysis.

  3. Implementing a stochastic model for oil futures prices

    Energy Technology Data Exchange (ETDEWEB)

    Cortazar, Gonzalo [Departamento de Ingenieria Industrial y de Sistemas, Escuela de Ingenieria, Pontificia Universidad Catolica de Chile, Vicuna Mackenna 4860, Santiago (Chile); Schwartz, Eduardo S. [Anderson School at UCLA, 110 Westwood Plaza, Los Angeles, CA 90095-1481 (United States)

    2003-05-01

    This paper develops a parsimonious three-factor model of the term structure of oil futures prices that can be easily estimated from available futures price data. In addition, it proposes a new simple spreadsheet implementation procedure. The procedure is flexible, may be used with market prices of any oil contingent claim with closed form pricing solution, and easily deals with missing data problems. The approach is implemented using daily prices of all futures contracts traded at the New York Mercantile Exchange between 1991 and 2001. In-sample and out-of-sample tests indicate that the model fits the data extremely well. Though the paper concentrates on oil, the approach can be used for any other commodity with well-developed futures markets.

  4. Model and Implementation of Communication Link Management Supporting High Availability

    Institute of Scientific and Technical Information of China (English)

    Luo Juan; Cao Yang; He Zheng; Li Feng

    2004-01-01

    Despite the rapid evolution in all aspects of computer technology, both the computer hardware and software are prone to numerous failure conditions. In this paper, we analyzed the characteristic of a computer system and the methods of constructing a system , proposed a communication link management model supporting high availability for network applications, Which will greatly increase the high availability of network applications. Then we elaborated on heartbeat or service detect, fail-over, service take-over, switchback and error recovery process of the model. In the process of constructing the communication link, we implemented the link management and service take-over with high availability requirement, and discussed the state and the state transition of building the communication link between the hosts, depicted the message transfer and the start of timer. At Last, we applied the designed high availability system to a network billing system, and showed how the system was constructed and implemented, which perfectly satisfied the system requirements.

  5. CoMD Implementation Suite in Emerging Programming Models

    Energy Technology Data Exchange (ETDEWEB)

    2014-09-23

    CoMD-Em is a software implementation suite of the CoMD [4] proxy app using different emerging programming models. It is intended to analyze the features and capabilities of novel programming models that could help ensure code and performance portability and scalability across heterogeneous platforms while improving programmer productivity. Another goal is to provide the authors and venders with some meaningful feedback regarding the capabilities and limitations of their models. The actual application is a classical molecular dynamics (MD) simulation using either the Lennard-Jones method (LJ) or the embedded atom method (EAM) for primary particle interaction. The code can be extended to support alternate interaction models. The code is expected ro run on a wide class of heterogeneous hardware configurations like shard/distributed/hybrid memory, GPU's and any other platform supported by the underlying programming model.

  6. Low-Rank Kalman Filtering in Subsurface Contaminant Transport Models

    KAUST Repository

    El Gharamti, Mohamad

    2010-12-01

    Understanding the geology and the hydrology of the subsurface is important to model the fluid flow and the behavior of the contaminant. It is essential to have an accurate knowledge of the movement of the contaminants in the porous media in order to track them and later extract them from the aquifer. A two-dimensional flow model is studied and then applied on a linear contaminant transport model in the same porous medium. Because of possible different sources of uncertainties, the deterministic model by itself cannot give exact estimations for the future contaminant state. Incorporating observations in the model can guide it to the true state. This is usually done using the Kalman filter (KF) when the system is linear and the extended Kalman filter (EKF) when the system is nonlinear. To overcome the high computational cost required by the KF, we use the singular evolutive Kalman filter (SEKF) and the singular evolutive extended Kalman filter (SEEKF) approximations of the KF operating with low-rank covariance matrices. The SEKF can be implemented on large dimensional contaminant problems while the usage of the KF is not possible. Experimental results show that with perfect and imperfect models, the low rank filters can provide as much accurate estimates as the full KF but at much less computational cost. Localization can help the filter analysis as long as there are enough neighborhood data to the point being analyzed. Estimating the permeabilities of the aquifer is successfully tackled using both the EKF and the SEEKF.

  7. Modular Pneumatic Snake Robot: 3D Modelling, Implementation And Control

    Directory of Open Access Journals (Sweden)

    Pål Liljebäck

    2008-01-01

    Full Text Available This paper gives a treatment of various aspects related to snake locomotion. A mathematical model and a physical implementation of a modular snake robot are presented. A control strategy is also developed, yielding a general expression for different gait patterns. Two forms of locomotion have been simulated with the mathematical model, and experiments with the physical snake robot have been conducted. The simulation results revealed the parameter through which directional control may be achieved for each gait pattern. Experiments with the physical snake robot gave a crude qualitative verification of these findings.

  8. A Conceptual Model of Service Customization and Its Implementation

    Institute of Scientific and Technical Information of China (English)

    Su-Bin Shen; Guan-Qun Gu; Shun-Yi Zhang

    2004-01-01

    With the development of Internet and next generation networks in telecommunications, more and more new services are required to be introduced into networks. Introducing new services into traditional network is always associated with standardizing new protocols. The progress of protocol standardization usually takes several years, which cannot meet the increasing demands of the applications in Internet and next generation networks.Service customization in network systems may be one possible solution to cope with this problem. Based on the principle that network service is provided by interactions among protocol entities, this paper proposes a conceptual model of service customization (SECUM) by separating the service logic from protocol interactive logic within existing network architecture. The theory of Communicating Sequential Processes (CSP) is used to formalize the SECUM in order to locate exactly the service logic and to define precisely the SECUM. For validating the SECUM's usability in practical network systems, this paper also proposes an implementation model for SECUM: a component-based protocol implementation model (CPIM). CPIM discomposes protocol entity into application component, service component, message component and communication component. Service component associates application component with message component. Users or network managers can customize network services by configuring service component. The paper shows respectively the applications of SECUM and CPIM by proposing a customizable IP service model based on SECUM and describing an implementation of Session Initiation Protocol (SIP) based on CPIM. Compared with the existing service-customization techniques,SECUM is a service customization model internal to network system and may provide more powerful capabilities of service customization.

  9. Constitutive modeling and computational implementation for finite strain plasticity

    Science.gov (United States)

    Reed, K. W.; Atluri, S. N.

    1985-01-01

    This paper describes a simple alternate approach to the difficult problem of modeling material behavior. Starting from a general representation for a rate-tpe constitutive equation, it is shown by example how sets of test data may be used to derive restrictions on the scalar functions appearing in the representation. It is not possible to determine these functions from experimental data, but the aforementioned restrictions serve as a guide in their eventual definition. The implications are examined for hypo-elastic, isotropically hardening plastic, and kinematically hardening plastic materials. A simple model for the evolution of the 'back-stress,' in a kinematic-hardening plasticity theory, that is entirely analogous to a hypoelastic stress-strain relation is postulated and examined in detail in modeling finitely plastic tension-torsion test. The implementation of rate-type material models in finite element algorithms is also discussed.

  10. A Design and Implementation of the Extended Andorra Model

    CERN Document Server

    Lopes, Ricardo; Silva, Fernando

    2011-01-01

    Logic programming provides a high-level view of programming, giving implementers a vast latitude into what techniques to explore to achieve the best performance for logic programs. Towards obtaining maximum performance, one of the holy grails of logic programming has been to design computational models that could be executed efficiently and that would allow both for a reduction of the search space and for exploiting all the available parallelism in the application. These goals have motivated the design of the Extended Andorra Model, a model where goals that do not constrain non-deterministic goals can execute first. In this work we present and evaluate the Basic design for Extended Andorra Model (BEAM), a system that builds upon David H. D. Warren's original EAM with Implicit Control. We provide a complete description and implementation of the BEAM System as a set of rewrite and control rules. We present the major data structures and execution algorithms that are required for efficient execution, and evaluate...

  11. Streamflow Data Assimilation in SWAT Model Using Extended Kalman Filter

    Science.gov (United States)

    Sun, L.; Nistor, I.; Seidou, O.

    2014-12-01

    Although Extended Kalman Filter (EKF) is regarded as the de facto method for the application of Kalman Filter in non-linear system, it's application to complex distributed hydrological models faces a lot of challenges. Ensemble Kalman Filter (EnKF) is often preferred because it avoids the calculation of the linearization Jacobian Matrix and the propagation of estimation error covariance. EnKF is however difficult to apply to large models because of the huge computation demand needed for parallel propagation of ensemble members. This paper deals with the application of EKF in stream flow prediction using the SWAT model in the watershed of Senegal River, West Africa. In the Jacobian Matrix calculation, SWAT is regarded as a black box model and the derivatives are calculated in the form of differential equations. The state vector is the combination of runoff, soil, shallow aquifer and deep aquifer water contents. As an initial attempt, only stream flow observations are assimilated. Despite the fact that EKF is a sub-optimal filter, the coupling of EKF significantly improves the estimation of daily streamflow. The results of SWAT+EKF are also compared to those of a simpler quasi linear streamflow prediction model where both state and parameters are updated with the EKF.

  12. Design and implementation of a generalized laboratory data model

    Directory of Open Access Journals (Sweden)

    Nhan Mike

    2007-09-01

    Full Text Available Abstract Background Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. In many environments, the methods themselves also evolve in a rapid and fluid manner. These observations point to the importance of robust information management systems in the modern laboratory. Designing and implementing such systems is non-trivial and it appears that in many cases a database project ultimately proves unserviceable. Results We describe a general modeling framework for laboratory data and its implementation as an information management system. The model utilizes several abstraction techniques, focusing especially on the concepts of inheritance and meta-data. Traditional approaches commingle event-oriented data with regular entity data in ad hoc ways. Instead, we define distinct regular entity and event schemas, but fully integrate these via a standardized interface. The design allows straightforward definition of a "processing pipeline" as a sequence of events, obviating the need for separate workflow management systems. A layer above the event-oriented schema integrates events into a workflow by defining "processing directives", which act as automated project managers of items in the system. Directives can be added or modified in an almost trivial fashion, i.e., without the need for schema modification or re-certification of applications. Association between regular entities and events is managed via simple "many-to-many" relationships. We describe the programming interface, as well as techniques for handling input/output, process control, and state transitions. Conclusion The implementation described here has served as the Washington University Genome Sequencing Center's primary information system for several years. It handles all transactions underlying a throughput rate of about 9 million sequencing reactions of various kinds per month and

  13. The FPGA Implementation of Short—Wave Channel Model

    Institute of Scientific and Technical Information of China (English)

    GANLiangcai; LIYuanyuan

    2003-01-01

    Based on the characteristic of timevariance,short-wave channel can be modeled as a real-time tors of fllter in frequency domain,the model can simulate short-wave channel exactly,such as delay spread,Doppler shift and Doppler spread.In the design,the bandwidth of short-wave channel model is 768kHz,and the frequency interval is 3kHz.A kind of Overlap-Discard algorithm based on the fast Fourier transform (FFT)is utilized to design the real-time FIR filter,and an architectural design structure based on Field Programmable Gate Arrays(FPGA)chip is adopted to implement 512-point FFT.The channel transfer function and the noise and interference function are periodically updated in real-time,which are stored in ROM in advance.The simulation result shows that the hardware implementation is simple and feasible and the wideband short-wave systems,such as frequency-hopping,direct sequence spread spectrum systems.

  14. Implementing Marine Organic Aerosols Into the GEOS-Chem Model

    Science.gov (United States)

    Johnson, Matthew S.

    2015-01-01

    Marine-sourced organic aerosols (MOA) have been shown to play an important role in tropospheric chemistry by impacting surface mass, cloud condensation nuclei, and ice nuclei concentrations over remote marine and coastal regions. In this work, an online marine primary organic aerosol emission parameterization, designed to be used for both global and regional models, was implemented into the GEOS-Chem model. The implemented emission scheme improved the large under-prediction of organic aerosol concentrations in clean marine regions (normalized mean bias decreases from -79% when using the default settings to -12% when marine organic aerosols are added). Model predictions were also in good agreement (correlation coefficient of 0.62 and normalized mean bias of -36%) with hourly surface concentrations of MOA observed during the summertime at an inland site near Paris, France. Our study shows that MOA have weaker coastal-to-inland concentration gradients than sea-salt aerosols, leading to several inland European cities having > 10% of their surface submicron organic aerosol mass concentration with a marine source. The addition of MOA tracers to GEOS-Chem enabled us to identify the regions with large contributions of freshly-emitted or aged aerosol having distinct physicochemical properties, potentially indicating optimal locations for future field studies.

  15. Application of EKF and SUKF in SINS Alignment on Great-Swing Base%EKF和SUKF在大摇摆基座初始对准中的应用

    Institute of Scientific and Technical Information of China (English)

    张金亮; 秦永元; 梅春波

    2013-01-01

    Simplified nonlinear navigation error models under large misalignment angles are deduced and nonlinear SUKF and EKF for initial alignment on great-swing base are designed,which effectively solves the problem that the traditional analytical coarse alignment algorithm can not accomplish initial alignment in swinging circumstance.After roughly binding initial attitudes,these two kinds of nonlinear filters achieve accurate alignment directly without any coarse alignment procedure.Finally,simulations under ship-mooring swinging circumstance are conducted to verify the effectiveness of the algorithms and alignment results are compared.The results show that the alignment precisions of the two nonlinear filters are quite same.Considering the computational complexity,the EKF algorithm has much better practicability.%通过在SINS解算过程中加入速度和位置阻尼信息,推导了惯导系统在大失准角情况下的简化非线性误差模型,研究了非线性SUKF和EKF滤波器在大幅度摇摆基座初始对准中的适用性,有效解决了传统解析式粗对准算法不能应用于大幅摇摆基座自主初始对准的问题.两种非线性滤波器在系统粗略装订初始姿态的情况下,可以不经过粗对准过程直接实现系统的精确对准.最后以舰船系泊条件下的大幅摇摆基座为仿真环境,仿真验证了两种非线性滤波对准算法的有效性,并比较了两种算法的对准精度.结果表明两种非线性滤波器的对准精度相当,从计算复杂度的角度考虑,EKF算法有更强的实用性.

  16. Implementation of splitting methods for air pollution modeling

    Directory of Open Access Journals (Sweden)

    M. Schlegel

    2011-11-01

    Full Text Available Explicit time integration methods are characterized by a small numerical effort per time step. In the application to multiscale problems in atmospheric modeling, this benefit is often more than compensated by stability problems and step size restrictions resulting from stiff chemical reaction terms and from a locally varying Courant-Friedrichs-Lewy (CFL condition for the advection terms. Splitting methods may be applied to efficiently combine implicit and explicit methods (IMEX splitting. Complementarily multirate time integration schemes allow for a local adaptation of the time step size to the grid size. In combination these approaches lead to schemes which are efficient in terms of evaluations of the right hand side. Special challenges arise when these methods are to be implemented. For an efficient implementation it is crucial to locate and exploit redundancies. Furthermore the more complex program flow may lead to computational overhead which in the worst case more than compensates the theoretical gain in efficiency. We present a general splitting approach which allows both for IMEX splittings and for local time step adaptation. The main focus is on an efficient implementation of this approach for parallel computation on computer clusters.

  17. Alice and Bob: Reconciling Formal Models and Implementation

    DEFF Research Database (Denmark)

    Almousa, Omar; Mödersheim, Sebastian Alexander; Viganò, Luca

    2015-01-01

    This paper defines the “ultimate” formal semantics for Alice and Bob notation, i.e., what actions the honest agents have to perform, in the presence of an arbitrary set of cryptographic operators and their algebraic theory. Despite its generality, this semantics is mathematically simpler than any...... previous attempt. For practical applicability, we introduce the language SPS and an automatic translation to robust real-world implementations and corresponding formal models, and we prove this translation correct with respect to the semantics....

  18. Implementing a business improvement model based on integrated plant information

    Directory of Open Access Journals (Sweden)

    Swanepoel, Hendrika Francina

    2016-11-01

    Full Text Available The World Energy Council defines numerous challenges in the global energy arena that put pressure on owners and /operators to operate run existing plant better and more efficiently. As such there is an increasing focus on the use of business and technical plant information and data to make better, more integrated, and more informed decisions on the plant. The research study developed a business improvement model (BIM that can be used to establish an integrated plant information management infrastructure as the core foundation for of business improvement initiatives. Operational research then demonstrated how this BIM approach could be successfully implemented to improve business operations and provide decision-making insight.

  19. Modeling and Implementing ISO 13584-based Part Library

    Institute of Scientific and Technical Information of China (English)

    杨东; 肖丽雯; 何援军; 张申生

    2004-01-01

    ISO 13584 (I.e. PLIB) is an international standard for the representation and exchange of CAD part libraries. It aims to provide an application-independent mechanism to enable the share of part library information between applications. In this paper, the approach of modeling part library conforming to ISO 13584 is presented. Also, a prototype of part library management system, I.e. BYL-PLIB, whose implementation is in agreement with ISO 13854 is developed to demonstrate the usefulness of proposed approach.

  20. Implementation of a plasma-neutral model in NIMROD

    Science.gov (United States)

    Taheri, S.; Shumlak, U.; King, J. R.

    2016-10-01

    Interaction between plasma fluid and neutral species is of great importance in the edge region of magnetically confined fusion plasmas. The presence of neutrals can have beneficial effects such as fueling burning plasmas and quenching the disruptions in tokamaks, as well as deleterious effects like depositing high energy particles on the vessel wall. The behavior of edge plasmas in magnetically confined systems has been investigated using computational approaches that utilize the fluid description for the plasma and Monte Carlo transport for neutrals. In this research a reacting plasma-neutral model is implemented in NIMROD to study the interaction between plasma and neutral fluids. This model, developed by E. T. Meier and U. Shumlak, combines a single-fluid magnetohydrodynamic (MHD) plasma model with a gas dynamic neutral fluid model which accounts for electron-impact ionization, radiative recombination, and resonant charge exchange. Incorporating this model into NIMROD allows the study of the interaction between neutrals and plasma in a variety of plasma science problems. An accelerated plasma moving through a neutral gas background in a coaxial electrode configuration is modeled, and the results are compared with previous calculations from the HiFi code.

  1. A local geopotential model for implementation of underwater passive navigation

    Institute of Scientific and Technical Information of China (English)

    Zhigang Wang; Shaofeng Bian

    2008-01-01

    A main aspect of underwater passive navigation is how to identify the vehicle location on an existing gravity map.and several match-ing algorithms as ICCP and SITAN are the most prevalent methods that many scholars are using.In this paper,a novel algorithm that is different from matching algorithms for passive navigation is developed.The algorithm implements underwater passive navigation by directly estimating the inertial errors through Kalman falter algorithm,and the key part of this implementation is a Fourier series.based local geopotential model.Firstly,the pfinople of local geopotential model based on Fourier series is introduced in this paper,thus the discrete gravity anomalies data can be expressed analytically with respect to geographic coordinares to establish the observation equation required in the application of Kalman filter.Whereafter,the indicated gravity anomalies can be gotten by substituting the inertial posi-tions to existing gravity anomalies map.Finally,the classical extended Kalman filter is introduced with the differences between measured gravity and indicated gravity used as observations to optimally estimate the errors of the inertial navigation system(INS).This naviga-tion algorithm is tested on simulated data with encouraging results.Although this algorithm is developed for underwater navigation using gravity data,it iS equally applicable to other domains,for example vehicle navigation on magnetic or terrain data.

  2. Implementation of Dynamic Smart Decision Model for Vertical Handoff

    Science.gov (United States)

    Sahni, Nidhi

    2010-11-01

    International Mobile Telecommunications-Advanced (IMT Advanced), better known as 4G is the next level of evolution in the field of wireless communications. 4G Wireless networks enable users to access information anywhere, anytime, with a seamless connection to a wide range of information and services, and receiving a large volume of information, data, pictures, video and thus increasing the demand for High Bandwidth and Signal Strength. The mobility among various networks is achieved through Vertical Handoff. Vertical handoffs refer to the automatic failover from one technology to another in order to maintain communication. The heterogeneous co-existence of access technologies with largely different characteristics creates a decision problem of determining the "best" available network at "best" time for handoff. In this paper, we implemented the proposed Dynamic and Smart Decision model to decide the "best" network interface and "best" time moment to handoff. The proposed model implementation not only demonstrates the individual user needs but also improve the whole system performance i.e. Quality of Service by reducing the unnecessary handoffs and maintain mobility.

  3. Implementing Modifed Burg Algorithms in Multivariate Subset Autoregressive Modeling

    Directory of Open Access Journals (Sweden)

    A. Alexandre Trindade

    2003-02-01

    Full Text Available The large number of parameters in subset vector autoregressive models often leads one to procure fast, simple, and efficient alternatives or precursors to maximum likelihood estimation. We present the solution of the multivariate subset Yule-Walker equations as one such alternative. In recent work, Brockwell, Dahlhaus, and Trindade (2002, show that the Yule-Walker estimators can actually be obtained as a special case of a general recursive Burg-type algorithm. We illustrate the structure of this Algorithm, and discuss its implementation in a high-level programming language. Applications of the Algorithm in univariate and bivariate modeling are showcased in examples. Univariate and bivariate versions of the Algorithm written in Fortran 90 are included in the appendix, and their use illustrated.

  4. Census Model Transition: Contributions to its Implementation in Portugal

    Directory of Open Access Journals (Sweden)

    Dias Carlos A.

    2016-03-01

    Full Text Available Given the high cost and complexity of traditional censuses, some countries have started to change the census process. Following this trend, Portugal is also evaluating a new census model as an alternative to an exhaustive collection of all statistical units. The main motivations for the implementation of this census model transition in Portugal are related to the decrease in statistical burden on citizens, improvements in the frequency of outputs, and the reduction of collection costs associated with census operations. This article seeks to systematise and critically review all alternatives to the traditional census methodologies, presenting their advantages and disadvantages and the countries that use them. As a result of the comparison, we conclude that the methods that best meet these objectives are those that use administrative data, either in whole or in part. We also present and discuss the results of an inventory and evaluation of administrative registers in Portugal with the potential to produce statistical census information.

  5. The Integrated Model of Embedded Management Systems and Its Implementation

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The Simple Network Management Protocol(SNMP) is nowadays the key enabling management technology, while Web technologies have proved to be attractive to networks and systems management. Future development in the management domain should be "integrated". In this article, an embedded management model, which provides an integrated device management framework, is presented. This model consists of five functional modules including System service layer, Application layer, Data layer, Middle layer and Access layer. Each module is described, with the mutual relation included. Then the key points of implementation are discussed. And the system design with the development tools provided by WindRiver Systems, which enable products to be developed cost-effectively and efficiently, is described in detail.

  6. Parallel implementation of approximate atomistic models of the AMOEBA polarizable model

    Science.gov (United States)

    Demerdash, Omar; Head-Gordon, Teresa

    2016-11-01

    In this work we present a replicated data hybrid OpenMP/MPI implementation of a hierarchical progression of approximate classical polarizable models that yields speedups of up to ∼10 compared to the standard OpenMP implementation of the exact parent AMOEBA polarizable model. In addition, our parallel implementation exhibits reasonable weak and strong scaling. The resulting parallel software will prove useful for those who are interested in how molecular properties converge in the condensed phase with respect to the MBE, it provides a fruitful test bed for exploring different electrostatic embedding schemes, and offers an interesting possibility for future exascale computing paradigms.

  7. Simulating lightning into the RAMS model: implementation and preliminary results

    Directory of Open Access Journals (Sweden)

    S. Federico

    2014-05-01

    Full Text Available This paper shows the results of a tailored version of a previously published methodology, designed to simulate lightning activity, implemented into the Regional Atmospheric Modeling System (RAMS. The method gives the flash density at the resolution of the RAMS grid-scale allowing for a detailed analysis of the evolution of simulated lightning activity. The system is applied in detail to two case studies occurred over the Lazio Region, in Central Italy. Simulations are compared with the lightning activity detected by the LINET network. The cases refer to two thunderstorms of different intensity. Results show that the model predicts reasonably well both cases and that the lightning activity is well reproduced especially for the most intense case. However, there are errors in timing and positioning of the convection, whose magnitude depends on the case study, which mirrors in timing and positioning errors of the lightning distribution. To assess objectively the performance of the methodology, standard scores are presented for four additional case studies. Scores show the ability of the methodology to simulate the daily lightning activity for different spatial scales and for two different minimum thresholds of flash number density. The performance decreases at finer spatial scales and for higher thresholds. The comparison of simulated and observed lighting activity is an immediate and powerful tool to assess the model ability to reproduce the intensity and the evolution of the convection. This shows the importance of the use of computationally efficient lightning schemes, such as the one described in this paper, in forecast models.

  8. Density-based Monte Carlo filter and its applications in nonlinear stochastic differential equation models.

    Science.gov (United States)

    Huang, Guanghui; Wan, Jianping; Chen, Hui

    2013-02-01

    Nonlinear stochastic differential equation models with unobservable state variables are now widely used in analysis of PK/PD data. Unobservable state variables are usually estimated with extended Kalman filter (EKF), and the unknown pharmacokinetic parameters are usually estimated by maximum likelihood estimator. However, EKF is inadequate for nonlinear PK/PD models, and MLE is known to be biased downwards. A density-based Monte Carlo filter (DMF) is proposed to estimate the unobservable state variables, and a simulation-based M estimator is proposed to estimate the unknown parameters in this paper, where a genetic algorithm is designed to search the optimal values of pharmacokinetic parameters. The performances of EKF and DMF are compared through simulations for discrete time and continuous time systems respectively, and it is found that the results based on DMF are more accurate than those given by EKF with respect to mean absolute error.

  9. Meteorological implementation issues in chemistry and transport models

    Directory of Open Access Journals (Sweden)

    S. E. Strahan

    2006-01-01

    Full Text Available Offline chemistry and transport models (CTMs are versatile tools for studying composition and climate issues requiring multi-decadal simulations. They are computationally fast compared to coupled chemistry climate models, making them well-suited for integrating sensitivity experiments necessary for understanding model performance and interpreting results. The archived meteorological fields used by CTMs can be implemented with lower horizontal or vertical resolution than the original meteorological fields in order to shorten integration time, but the effects of these shortcuts on transport processes must be understood if the CTM is to have credibility. In this paper we present a series of sensitivity experiments on a CTM using the Lin and Rood advection scheme, each differing from another by a single feature of the wind field implementation. Transport effects arising from changes in resolution and model lid height are evaluated using process-oriented diagnostics that intercompare CH4, O3, and age tracer carried in the simulations. Some of the diagnostics used are derived from observations and are shown as a reality check for the model. Processes evaluated include tropical ascent, tropical-midlatitude exchange, poleward circulation in the upper stratosphere, and the development of the Antarctic vortex. We find that faithful representation of stratospheric transport in this CTM is possible with a full mesosphere, ~1 km resolution in the lower stratosphere, and relatively low vertical resolution (>4 km spacing in the middle stratosphere and above, but lowering the lid from the upper to lower mesosphere leads to less realistic constituent distributions in the upper stratosphere. Ultimately, this affects the polar lower stratosphere, but the effects are greater for the Antarctic than the Arctic. The fidelity of lower stratospheric transport requires realistic tropical and high latitude mixing barriers which are produced at 2°×2.5°, but not lower

  10. Expectations and implementations of the flipped classroom model in undergraduate mathematics courses

    Science.gov (United States)

    Naccarato, Emilie; Karakok, Gulden

    2015-10-01

    The flipped classroom model is being used more frequently in undergraduate mathematics courses. As with any new teaching model, in-depth investigations of both various implementation styles and how the new model improves student learning are needed. Currently, many practitioners have been sharing their implementations of this model. However, there has not yet been an investigation of the various implementations of the model to discern general trends in this movement. With this research goal in mind, we conducted a study exploring various implementations of the flipped classroom model by interviewing 19 faculty members who experienced using this model at 14 different institutes. Results indicate that participants had similar motivations for implementation; however, subsequent implementations were different. In addition, we share participants' perspectives on (a) student learning of pre-requisite, procedural and conceptual knowledge, and (b) how this particular model promotes such knowledge developments. Finally, we provide suggestions for future implementations and research regarding this particular teaching model.

  11. Implementing an HL7 version 3 modeling tool from an Ecore model.

    Science.gov (United States)

    Bánfai, Balázs; Ulrich, Brandon; Török, Zsolt; Natarajan, Ravi; Ireland, Tim

    2009-01-01

    One of the main challenges of achieving interoperability using the HL7 V3 healthcare standard is the lack of clear definition and supporting tools for modeling, testing, and conformance checking. Currently, the knowledge defining the modeling is scattered around in MIF schemas, tools and specifications or simply with the domain experts. Modeling core HL7 concepts, constraints, and semantic relationships in Ecore/EMF encapsulates the domain-specific knowledge in a transparent way while unifying Java, XML, and UML in an abstract, high-level representation. Moreover, persisting and versioning the core HL7 concepts as a single Ecore context allows modelers and implementers to create, edit and validate message models against a single modeling context. The solution discussed in this paper is implemented in the new HL7 Static Model Designer as an extensible toolset integrated as a standalone Eclipse RCP application.

  12. Model-Based Engine Control Architecture with an Extended Kalman Filter

    Science.gov (United States)

    Csank, Jeffrey T.; Connolly, Joseph W.

    2016-01-01

    This paper discusses the design and implementation of an extended Kalman filter (EKF) for model-based engine control (MBEC). Previously proposed MBEC architectures feature an optimal tuner Kalman Filter (OTKF) to produce estimates of both unmeasured engine parameters and estimates for the health of the engine. The success of this approach relies on the accuracy of the linear model and the ability of the optimal tuner to update its tuner estimates based on only a few sensors. Advances in computer processing are making it possible to replace the piece-wise linear model, developed off-line, with an on-board nonlinear model running in real-time. This will reduce the estimation errors associated with the linearization process, and is typically referred to as an extended Kalman filter. The nonlinear extended Kalman filter approach is applied to the Commercial Modular Aero-Propulsion System Simulation 40,000 (C-MAPSS40k) and compared to the previously proposed MBEC architecture. The results show that the EKF reduces the estimation error, especially during transient operation.

  13. Implementation of the ATLAS Run 2 event data model

    CERN Document Server

    Buckley, Andrew; Elsing, Markus; Gillberg, Dag Ingemar; Koeneke, Karsten; Krasznahorkay, Attila; Moyse, Edward; Nowak, Marcin; Snyder, Scott; van Gemmeren, Peter

    2015-01-01

    During the 2013--2014 shutdown of the Large Hadron Collider, ATLAS switched to a new event data model for analysis, called the xAOD. A key feature of this model is the separation of the object data from the objects themselves (the `auxiliary store'). Rather being stored as member variables of the analysis classes, all object data are stored separately, as vectors of simple values. Thus, the data are stored in a `structure of arrays' format, while the user still can access it as an `array of structures'. This organization allows for on-demand partial reading of objects, the selective removal of object properties, and the addition of arbitrary user-defined properties in a uniform manner. It also improves performance by increasing the locality of memory references in typical analysis code. The resulting data structures can be written to ROOT files with data properties represented as simple ROOT tree branches. This talk will focus on the design and implementation of the auxiliary store and its interaction with RO...

  14. Implementation of a vibrationally linked chemical reaction model for DSMC

    Science.gov (United States)

    Carlson, A. B.; Bird, Graeme A.

    1994-01-01

    A new procedure closely linking dissociation and exchange reactions in air to the vibrational levels of the diatomic molecules has been implemented in both one- and two-dimensional versions of Direct Simulation Monte Carlo (DSMC) programs. The previous modeling of chemical reactions with DSMC was based on the continuum reaction rates for the various possible reactions. The new method is more closely related to the actual physics of dissociation and is more appropriate to the particle nature of DSMC. Two cases are presented: the relaxation to equilibrium of undissociated air initially at 10,000 K, and the axisymmetric calculation of shuttle forebody heating during reentry at 92.35 km and 7500 m/s. Although reaction rates are not used in determining the dissociations or exchange reactions, the new method produces rates which agree astonishingly well with the published rates derived from experiment. The results for gas properties and surface properties also agree well with the results produced by earlier DSMC models, equilibrium air calculations, and experiment.

  15. Implementation of a telementoring model of medical education in psoriasis

    Directory of Open Access Journals (Sweden)

    Luis D. Mazzuoccolo

    2016-12-01

    Full Text Available The ECHO® (Extension for Community Healthcare Outcomes project is a model of distance medical education. Its mission is to expand knowledge and evaluate the results of this action, both in the training of human resources in healthcare and in the accomplishment of the best medical practices in the community target. It is developed through case presentation videoconferencing, between experts in chronic and complex diseases and physicians, with the aim of reducing the healthcare asymmetries between large urban centers and peripherals areas. We have implemented this telementoring for dermatologists and residents who treat patients with psoriasis. After 10 sessions, a survey was conducted to evaluate the educational attainment of the participants. A significant improvement was found in their abilities to determine the severity of psoriasis, screening for arthritis, assessment of the patient before beginning systemic treatment and appropriate follow-up under different systemic therapies. ECHO replication model helped improve the skills of the participants in the management of this disease, and reduced professional isolation.

  16. Implementation and implications of macrophyte reconfiguration in hydraulic river modeling

    Science.gov (United States)

    Verschoren, Veerle; Schoelynck, Jonas; Buis, Kerst; Meire, Dieter; Bal, Kris; Meire, Patrick; Temmerman, Stijn

    2014-05-01

    In lowland rivers, abundant macrophyte growth can often be observed. The aquatic vegetation has an impact on the flow by creating friction which results in increased water levels and decreased flow velocities. At the same time submerged macrophytes are susceptible to hydrodynamic forces of the water. Their morphology is therefore often flexible and streamlined so that it enables reconfiguration (i.e. bending of macrophytes with water flow) and decreases potential damage at high flow velocities. Knowledge of these mutual interactions is crucial in order to model water flow in vegetated rivers. A correct estimation of flow velocity and water height is indispensable for the calculation of hydraulic, ecological and geomorphological parameters. The total resistance to water flow in a river can be described by a Manning coefficient. This value is influenced by river characteristics as well as by the presence of macrophytes. In this study a simple method is developed to quantify the resistance created by macrophytes after reconfiguration of their canopy. In order to achieve this we derive model formulations and plant parameters for three different macrophyte species and compare model simulation with measured flow velocity data for two case studies. Furthermore, the effect of macrophyte reconfiguration is investigated by modeling the same case studies with and without the implementation of macrophyte reconfiguration. It was found that the local resistance created by the vegetation was overestimated when reconfiguration was not considered. This resulted in an overestimation of stream velocity adjacent to the vegetation and an underestimation of the stream velocity within and behind the vegetation. Another effect was a higher water level gradient and consequently a higher Manning coefficient in the scenario without reconfiguration compared to the scenario with reconfiguration. Reconfiguration had also an influence on ecological and geomorphological parameters. It was found

  17. 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.

  18. Possibilities of Land Administration Domain Model (ladm) Implementation in Nigeria

    Science.gov (United States)

    Babalola, S. O.; Rahman, A. Abdul; Choon, L. T.; Van Oosterom, P. J. M.

    2015-10-01

    LADM covers essential information associated components of land administration and management including those over water and elements above and below the surface of the earth. LADM standard provides an abstract conceptual model with three packages and one sub-package. LADM defined terminology for a land administration system that allows a shared explanation of different formal customary or informal tenures. The standard provides the basis for national and regional profiles and enables the combination of land management information from different sources in a coherent manner. Given this, this paper started with the description of land and land administration in Nigeria. The pre-colonial, colonial and post-colonial era with organization structure was discussed. This discussion is important to present an understanding of the background of any improvement needed for the LADM implementation in Nigeria. The LADM, ISO 19152 and the packages of LADM was discussed, and the comparison of the different aspects of each package and classes were made with Nigerian land administration and the cadastral system. In the comparison made, it was discovered that the concept is similar to LADM packages in Nigerian land administration. Although, the terminology may not be the same in all cases. Having studied conceptualization and the application of LADM, as a model that has essential information associated with components of the land administration. Including those on the land, over water as well as elements above and below the surface of the earth and discovered that the standard is suitable for the country. The model can, therefore, be adopted into Nigerian land administration system by mapping in some of the concepts of LADM.

  19. POSSIBILITIES OF LAND ADMINISTRATION DOMAIN MODEL (LADM IMPLEMENTATION IN NIGERIA

    Directory of Open Access Journals (Sweden)

    S. O. Babalola

    2015-10-01

    Full Text Available LADM covers essential information associated components of land administration and management including those over water and elements above and below the surface of the earth. LADM standard provides an abstract conceptual model with three packages and one sub-package. LADM defined terminology for a land administration system that allows a shared explanation of different formal customary or informal tenures. The standard provides the basis for national and regional profiles and enables the combination of land management information from different sources in a coherent manner. Given this, this paper started with the description of land and land administration in Nigeria. The pre-colonial, colonial and post-colonial era with organization structure was discussed. This discussion is important to present an understanding of the background of any improvement needed for the LADM implementation in Nigeria. The LADM, ISO 19152 and the packages of LADM was discussed, and the comparison of the different aspects of each package and classes were made with Nigerian land administration and the cadastral system. In the comparison made, it was discovered that the concept is similar to LADM packages in Nigerian land administration. Although, the terminology may not be the same in all cases. Having studied conceptualization and the application of LADM, as a model that has essential information associated with components of the land administration. Including those on the land, over water as well as elements above and below the surface of the earth and discovered that the standard is suitable for the country. The model can, therefore, be adopted into Nigerian land administration system by mapping in some of the concepts of LADM.

  20. Joint state and parameter estimation of the hemodynamic model by particle smoother expectation maximization method

    Science.gov (United States)

    Aslan, Serdar; Taylan Cemgil, Ali; Akın, Ata

    2016-08-01

    Objective. In this paper, we aimed for the robust estimation of the parameters and states of the hemodynamic model by using blood oxygen level dependent signal. Approach. In the fMRI literature, there are only a few successful methods that are able to make a joint estimation of the states and parameters of the hemodynamic model. In this paper, we implemented a maximum likelihood based method called the particle smoother expectation maximization (PSEM) algorithm for the joint state and parameter estimation. Main results. Former sequential Monte Carlo methods were only reliable in the hemodynamic state estimates. They were claimed to outperform the local linearization (LL) filter and the extended Kalman filter (EKF). The PSEM algorithm is compared with the most successful method called square-root cubature Kalman smoother (SCKS) for both state and parameter estimation. SCKS was found to be better than the dynamic expectation maximization (DEM) algorithm, which was shown to be a better estimator than EKF, LL and particle filters. Significance. PSEM was more accurate than SCKS for both the state and the parameter estimation. Hence, PSEM seems to be the most accurate method for the system identification and state estimation for the hemodynamic model inversion literature. This paper do not compare its results with Tikhonov-regularized Newton—CKF (TNF-CKF), a recent robust method which works in filtering sense.

  1. Flight attitude estimation for MAVs based on amended EKF%基于修正EKF的微小型飞行器姿态估计

    Institute of Scientific and Technical Information of China (English)

    王松; 田波; 战榆莉; 李志峰

    2011-01-01

    分析了常用飞行姿态估计方法在微小型飞行器上应用的局限性,针对基于微机电系统(MEMS)惯性器件的姿态测量方案,构建了以MEMS陀螺仪姿态矩阵解算为状态更新、以MEMS加速度计重力矢量解算为观测更新的扩展卡尔曼滤波器(EKF),推导了相应的卡尔曼滤波方程.为了提高该滤波器抵抗机动加速度干扰的能力,设计了基于M估计的新息修正方法,该方法能有效地抑制载体阶跃加(减)速对姿态估计的影响.最后通过仿真和样机试验对上述算法进行了验证.%This article analyzes the limitations of the apphcation of the application of common flight attitude estimate methods in micro aerial vehicles, and aiming at the attitude measurement based on the MEMS inertial sensors, deduces and constructs an extended Kalman filter (EKF) with the attitude matrix solving by the MEMS gyroscope as the state update and the gravity vector solving by the MEMS accelerometer as the observation update. Subsequently, an innovation amendment method based on the M estimate is designed to improve the ability of Kalman filter to resist the interference from the carrier maneuvering acceleration. Finally, the article gives the verification of the validity of the algorithm by simulation and prototype testing.

  2. Criteria for evaluating the design of implementation models for integrated coastal management

    CSIR Research Space (South Africa)

    Taljaard, Susan

    2011-09-01

    Full Text Available are unravelled and a theoretically founded set of criteria for evaluating the design of ICM implementation models is provided. First, paradigms in integrated environmental management (IEM) implementation, the broader domain within which ICM practice is nested...

  3. Design, modelling, implementation, and intelligent fuzzy control of a hovercraft

    Science.gov (United States)

    El-khatib, M. M.; Hussein, W. M.

    2011-05-01

    A Hovercraft is an amphibious vehicle that hovers just above the ground or water by air cushion. The concept of air cushion vehicle can be traced back to 1719. However, the practical form of hovercraft nowadays is traced back to 1955. The objective of the paper is to design, simulate and implement an autonomous model of a small hovercraft equipped with a mine detector that can travel over any terrains. A real time layered fuzzy navigator for a hovercraft in a dynamic environment is proposed. The system consists of a Takagi-Sugenotype fuzzy motion planner and a modified proportional navigation based fuzzy controller. The system philosophy is inspired by human routing when moving between obstacles based on visual information including the right and left views from which he makes his next step towards the goal in the free space. It intelligently combines two behaviours to cope with obstacle avoidance as well as approaching a goal using a proportional navigation path accounting for hovercraft kinematics. MATLAB/Simulink software tool is used to design and verify the proposed algorithm.

  4. A Robust Sound Perception Model Suitable for Neuromorphic Implementation

    Directory of Open Access Journals (Sweden)

    Martin eCoath

    2014-01-01

    Full Text Available We have recently demonstrated the emergence of dynamic feature sensitivity through exposure to formative stimuli in a real-time neuromorphic system implementing a hybrid analogue/digital network of spiking neurons. This network, inspired by models of auditory processing in mammals, includes several mutually connected layers with distance-dependent transmission delays and learning in the form of spike timing dependent plasticity, which effects stimulus-driven changes in the network connectivity.Here we present results that demonstrate that the network is robust to a range of variations in the stimulus pattern, such as are found in naturalistic stimuli and neural responses. This robustness is a property critical to the development of realistic, electronic neuromorphic systems.We analyse the variability of the response of the network to `noisy' stimuli which allows us to characterize the acuity in information-theoretic terms. This provides an objective basis for the quantitative comparison of networks, their connectivity patterns, and learning strategies, which can inform future design decisions. We also show, using stimuli derived from speech samples, that the principles are robust to other challenges, such as variable presentation rate, that would have to be met by systems deployed in the real world. Finally we demonstrate the potential applicability of the approach to real sounds.

  5. An extended set of Fortran Basic Linear Algebra Subprograms: model implementation and test programs

    Energy Technology Data Exchange (ETDEWEB)

    Dongarra, J.J.; Du Croz, J.; Hammarling, S.; Hanson, R.J.

    1987-01-01

    This paper describes a model implementation and test software for the Level 2 Basic Linear Algebra Subprograms (Level 2 BLAS). The Level 2 BLAS are targeted at matrix-vector operations with the aim of providing more efficient, but portable, implementations of algorithms on high-performance computers. The model implementation provides a portable set of Fortran 77 Level 2 BLAS for machines where specialized implementations do not exist or are not required. The test software aims to verify that specialized implementations meet the specification of the Level 2 BLAS and that implementations are correctly installed.

  6. Expectations and Implementations of the Flipped Classroom Model in Undergraduate Mathematics Courses

    Science.gov (United States)

    Naccarato, Emilie; Karakok, Gulden

    2015-01-01

    The flipped classroom model is being used more frequently in undergraduate mathematics courses. As with any new teaching model, in-depth investigations of both various implementation styles and how the new model improves student learning are needed. Currently, many practitioners have been sharing their implementations of this model. However, there…

  7. COST OF QUALITY MODELS AND THEIR IMPLEMENTATION IN MANUFACTURING FIRMS

    Directory of Open Access Journals (Sweden)

    N.M. Vaxevanidis

    2009-03-01

    Full Text Available In order to improve quality, an organization must take into account the costs associated with achieving quality since the objective of continuous improvement programs is not only to meet customer requirements, but also to do it at the lowest, possible, cost. This can only obtained by reducing the costs needed to achieve quality, and the reduction of these costs is only possible if they are identified and measured. Therefore, measuring and reporting the cost of quality (CoQ should be considered an important issue for achieving quality excellence. To collect quality costs an organization needs to adopt a framework to classify costs; however, there is no general agreement on a single broad definition of quality costs. CoQ is usually understood as the sum of conformance plus non-conformance costs, where cost of conformance is the price paid for prevention of poor quality (for example, inspection and quality appraisal and cost of non-conformance is the cost of poor quality caused by product and service failure (for example, rework and returns. The objective of this paper is to give a survey of research articles on the topic of CoQ; it opens with a literature review focused on existing CoQ models; then, it briefly presents the most common CoQ parameters and the metrics (indices used for monitoring CoQ. Finally, the use of CoQ models in practice, i.e., the implementation of a quality costing system and cost of quality reporting in companies is discussed, with emphasis in cases concerning manufacturing firms.

  8. Airborne castanea pollen forecasting model for ecological and allergological implementation.

    Science.gov (United States)

    Astray, G; Fernández-González, M; Rodríguez-Rajo, F J; López, D; Mejuto, J C

    2016-04-01

    Castanea sativa Miller belongs to the natural vegetation of many European deciduous forests prompting impacts in the forestry, ecology, allergological and chestnut food industry fields. The study of the Castanea flowering represents an important tool for evaluating the ecological conservation of North-Western Spain woodland and the possible changes in the chestnut distribution due to recent climatic change. The Castanea pollen production and dispersal capacity may cause hypersensitivity reactions in the sensitive human population due to the relationship between patients with chestnut pollen allergy and a potential cross reactivity risk with other pollens or plant foods. In addition to Castanea pollen's importance as a pollinosis agent, its study is also essential in North-Western Spain due to the economic impact of the industry around the chestnut tree cultivation and its beekeeping interest. The aim of this research is to develop an Artificial Neural Networks for predict the Castanea pollen concentration in the atmosphere of the North-West Spain area by means a 20years data set. It was detected an increasing trend of the total annual Castanea pollen concentrations in the atmosphere during the study period. The Artificial Neural Networks (ANNs) implemented in this study show a great ability to predict Castanea pollen concentration one, two and three days ahead. The model to predict the Castanea pollen concentration one day ahead shows a high linear correlation coefficient of 0.784 (individual ANN) and 0.738 (multiple ANN). The results obtained improved those obtained by the classical methodology used to predict the airborne pollen concentrations such as time series analysis or other models based on the correlation of pollen levels with meteorological variables.

  9. Implementation of a PETN failure model using ARIA's general chemistry framework

    Energy Technology Data Exchange (ETDEWEB)

    Hobbs, Michael L. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2017-01-01

    We previously developed a PETN thermal decomposition model that accurately predicts thermal ignition and detonator failure [1]. This model was originally developed for CALORE [2] and required several complex user subroutines. Recently, a simplified version of the PETN decomposition model was implemented into ARIA [3] using a general chemistry framework without need for user subroutines. Detonator failure was also predicted with this new model using ENCORE. The model was simplified by 1) basing the model on moles rather than mass, 2) simplifying the thermal conductivity model, and 3) implementing ARIA’s new phase change model. This memo briefly describes the model, implementation, and validation.

  10. Model Meets Data: Challenges and Opportunities to Implement Land Management in Earth System Models

    Science.gov (United States)

    Pongratz, J.; Dolman, A. J.; Don, A.; Erb, K. H.; Fuchs, R.; Herold, M.; Jones, C.; Luyssaert, S.; Kuemmerle, T.; Meyfroidt, P.

    2016-12-01

    Land-based demand for food and fibre is projected to increase in the future. In light of global sustainability challenges only part of this increase will be met by expansion of land use into relatively untouched regions. Additional demand will have to be fulfilled by intensification and other adjustments in management of land that already is under agricultural and forestry use. Such land management today occurs on about half of the ice-free land surface, as compared to only about one quarter that has undergone a change in land cover. As the number of studies revealing substantial biogeophysical and biogeochemical effects of land management is increasing, moving beyond land cover change towards including land management has become a key focus for Earth system modeling. However, a basis for prioritizing land management activities for implementation in models is lacking. We lay this basis for prioritization in a collaborative project across the disciplines of Earth system modeling, land system science, and Earth observation. We first assess the status and plans of implementing land management in Earth system and dynamic global vegetation models. A clear trend towards higher complexity of land use representation is visible. We then assess five criteria for prioritizing the implementation of land management activities: (1) spatial extent, (2) evidence for substantial effects on the Earth system, (3) process understanding, (4) possibility to link the management activity to existing concepts and structures of models, (5) availability of data required as model input. While the first three criteria have been assessed by an earlier study for ten common management activities, we review strategies for implementation in models and the availability of required datasets. We can thus evaluate the management activities for their performance in terms of importance for the Earth system, possibility of technical implementation in models, and data availability. This synthesis reveals

  11. Model meets data: Challenges and opportunities to implement land management in Earth System Models

    Science.gov (United States)

    Pongratz, Julia; Dolman, Han; Don, Axel; Erb, Karl-Heinz; Fuchs, Richard; Herold, Martin; Jones, Chris; Luyssaert, Sebastiaan; Kuemmerle, Tobias; Meyfroidt, Patrick; Naudts, Kim

    2017-04-01

    Land-based demand for food and fibre is projected to increase in the future. In light of global sustainability challenges only part of this increase will be met by expansion of land use into relatively untouched regions. Additional demand will have to be fulfilled by intensification and other adjustments in management of land that already is under agricultural and forestry use. Such land management today occurs on about half of the ice-free land surface, as compared to only about one quarter that has undergone a change in land cover. As the number of studies revealing substantial biogeophysical and biogeochemical effects of land management is increasing, moving beyond land cover change towards including land management has become a key focus for Earth system modeling. However, a basis for prioritizing land management activities for implementation in models is lacking. We lay this basis for prioritization in a collaborative project across the disciplines of Earth system modeling, land system science, and Earth observation. We first assess the status and plans of implementing land management in Earth system and dynamic global vegetation models. A clear trend towards higher complexity of land use representation is visible. We then assess five criteria for prioritizing the implementation of land management activities: (1) spatial extent, (2) evidence for substantial effects on the Earth system, (3) process understanding, (4) possibility to link the management activity to existing concepts and structures of models, (5) availability of data required as model input. While the first three criteria have been assessed by an earlier study for ten common management activities, we review strategies for implementation in models and the availability of required datasets. We can thus evaluate the management activities for their performance in terms of importance for the Earth system, possibility of technical implementation in models, and data availability. This synthesis reveals

  12. Implementing a Peer Mentoring Model in the Clemson Eportfolio Program

    Science.gov (United States)

    Ring, Gail L.

    2015-01-01

    Since the implementation of the ePortfolio Program in 2006, Clemson University has incorporated peer review for the formative feedback process. One of the challenges with this large-scale implementation has been ensuring that all work is reviewed and constructive feedback is provided in a timely manner. In this article, I discuss the strategies…

  13. KNOWLEDGE MANAGEMENT AND ENTERPRISE RESOURCE PLANNING IMPLEMENTATION: A CONCEPTUAL MODEL

    Directory of Open Access Journals (Sweden)

    Sevenpri Candra

    2014-01-01

    Full Text Available The purpose of this research is examining the influence of organizational learning and knowledge management in enterprise resource planning implementation. This study is based on organizational learning, knowledge management and enterprise resource planning implementation. This research did not test all organizational factors and focus particularly on knowledge management capacity and absorptive capability. Enterprise resource planning implementation successful is a must. In today’s global and competitor in business, enterprise resource planning is becoming one of the main tools to achieve competitiveness in business. Enterprise resource planning is an infrastructure to create and maintain business to improve front-office and back-office efficiency and effectiveness. This study is significant to bring new thinking in determines the key antecedents to successful enterprise resource planning implementation based on knowledge management perspectives and it will helps to understand the key success factor in enterprise resource planning implementation.

  14. Ottawa Model of Implementation Leadership and Implementation Leadership Scale: mapping concepts for developing and evaluating theory-based leadership interventions

    Directory of Open Access Journals (Sweden)

    Gifford W

    2017-03-01

    Full Text Available Wendy Gifford,1 Ian D Graham,2,3 Mark G Ehrhart,4 Barbara L Davies,5,6 Gregory A Aarons7 1School of Nursing, Faculty of Health Sciences, University of Ottawa, ON, Canada; 2Centre for Practice-Changing Research, Ottawa Hospital Research Institute, 3School of Epidemiology, Public Health and Preventive Medicine, Facility of Medicine, University of Ottawa, Ottawa, ON, Canada; 4Department of Psychology, San Diego State University, San Diego, CA, USA; 5Nursing Best Practice Research Center, University of Ottawa, Ottawa, ON, Canada; 6Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA; 7Child and Adolescent Services Research Center, University of California, San Diego, CA, USA Purpose: Leadership in health care is instrumental to creating a supportive organizational environment and positive staff attitudes for implementing evidence-based practices to improve patient care and outcomes. The purpose of this study is to demonstrate the alignment of the Ottawa Model of Implementation Leadership (O-MILe, a theoretical model for developing implementation leadership, with the Implementation Leadership Scale (ILS, an empirically validated tool for measuring implementation leadership. A secondary objective is to describe the methodological process for aligning concepts of a theoretical model with an independently established measurement tool for evaluating theory-based interventions.Methods: Modified template analysis was conducted to deductively map items of the ILS onto concepts of the O-MILe. An iterative process was used in which the model and scale developers (n=5 appraised the relevance, conceptual clarity, and fit of each ILS items with the O-MILe concepts through individual feedback and group discussions until consensus was reached.Results: All 12 items of the ILS correspond to at least one O-MILe concept, demonstrating compatibility of the ILS as a measurement tool for the O-MILe theoretical constructs.Conclusion: The O

  15. A Finite Element Implementation of a Ductile Damage Model for Small Strains

    CERN Document Server

    Gates, Robert Lee

    2013-01-01

    Lemaitre's ductile damage model and a simplified variant excluding kinematic hardening were studied and implemented into computer code. For purposes of verifying the model, results from computations with the finite element method are compared to literature. It is found that the behavior expected from theory is modeled by both implementations. Quadratic levels of convergence were observed for the simplified model, while results show that convergence of the kinematic hardening implementation deteriorates with damage. It is concluded that further examination is needed to verify the correct implementation of the kinematic hardening model.

  16. Defining Building Information Modeling implementation activities based on capability maturity evaluation: a theoretical model

    Directory of Open Access Journals (Sweden)

    Romain Morlhon

    2015-01-01

    Full Text Available Building Information Modeling (BIM has become a widely accepted tool to overcome the many hurdles that currently face the Architecture, Engineering and Construction industries. However, implementing such a system is always complex and the recent introduction of BIM does not allow organizations to build their experience on acknowledged standards and procedures. Moreover, data on implementation projects is still disseminated and fragmentary. The objective of this study is to develop an assistance model for BIM implementation. Solutions that are proposed will help develop BIM that is better integrated and better used, and take into account the different maturity levels of each organization. Indeed, based on Critical Success Factors, concrete activities that help in implementation are identified and can be undertaken according to the previous maturity evaluation of an organization. The result of this research consists of a structured model linking maturity, success factors and actions, which operates on the following principle: once an organization has assessed its BIM maturity, it can identify various weaknesses and find relevant answers in the success factors and the associated actions.

  17. Implementing multiresolution models and families of models: from entity-level simulation to desktop stochastic models and "repro" models

    Science.gov (United States)

    McEver, Jimmie; Davis, Paul K.; Bigelow, James H.

    2000-06-01

    We have developed and used families of multiresolution and multiple-perspective models (MRM and MRMPM), both in our substantive analytic work for the Department of Defense and to learn more about how such models can be designed and implemented. This paper is a brief case history of our experience with a particular family of models addressing the use of precision fires in interdicting and halting an invading army. Our models were implemented as closed-form analytic solutions, in spreadsheets, and in the more sophisticated AnalyticaTM environment. We also drew on an entity-level simulation for data. The paper reviews the importance of certain key attributes of development environments (visual modeling, interactive languages, friendly use of array mathematics, facilities for experimental design and configuration control, statistical analysis tools, graphical visualization tools, interactive post-processing, and relational database tools). These can go a long way towards facilitating MRMPM work, but many of these attributes are not yet widely available (or available at all) in commercial model-development tools--especially for use with personal computers. We conclude with some lessons learned from our experience.

  18. The Implementation of C-ID, R2D2 Model on Learning Reading Comprehension

    Science.gov (United States)

    Rayanto, Yudi Hari; Rusmawan, Putu Ngurah

    2016-01-01

    The purposes of this research are to find out, (1) whether C-ID, R2D2 model is effective to be implemented on learning Reading comprehension, (2) college students' activity during the implementation of C-ID, R2D2 model on learning Reading comprehension, and 3) college students' learning achievement during the implementation of C-ID, R2D2 model on…

  19. The computational implementation of the landscape model: modeling inferential processes and memory representations of text comprehension.

    Science.gov (United States)

    Tzeng, Yuhtsuen; van den Broek, Paul; Kendeou, Panayiota; Lee, Chengyuan

    2005-05-01

    The complexity of text comprehension demands a computational approach to describe the cognitive processes involved. In this article, we present the computational implementation of the landscape model of reading. This model captures both on-line comprehension processes during reading and the off-line memory representation after reading is completed, incorporating both memory-based and coherence-based mechanisms of comprehension. The overall architecture and specific parameters of the program are described, and a running example is provided. Several studies comparing computational and behavioral data indicate that the implemented model is able to account for cycle-by-cycle comprehension processes and memory for a variety of text types and reading situations.

  20. Implementing a new model for on-the-job training: critical success factors.

    NARCIS (Netherlands)

    van Zolingen, S.J.; Streumer, Jan; van der Klink, Marcel; de Jong, Rolinda

    2000-01-01

    Post Offices Inc. in The Netherlands has developed and implemented a new instruction model for the training of desk employees. The quality of the new instruction model was assessed by means of the evaluation model of Jacobs and Jones for on-the-job training. It is concluded that the implementation

  1. Implementation of SNS Model for Intrusion Prevention in Wireless Local Area Network

    DEFF Research Database (Denmark)

    Isah, Abdullahi

    The thesis has proposed and implemented a so-called SNS (Social network security) model for intrusion prevention in the Wireless Local Area Network of an organization. An experimental design was used to implement and test the model at a university in Nigeria.......The thesis has proposed and implemented a so-called SNS (Social network security) model for intrusion prevention in the Wireless Local Area Network of an organization. An experimental design was used to implement and test the model at a university in Nigeria....

  2. The Road of ERP Success: A Framework Model for Successful ERP Implementation

    Directory of Open Access Journals (Sweden)

    Sevenpri Candra

    2011-11-01

    Full Text Available To compete with nowadays business is to implement technology and align it into their business strategy. One of technology that commonly implement is Enterprise Resource Planning (ERP. This research will examined what are critical success factor of ERP and the impact of their business outcomes. A framework model for ERP Implementation success is constructs from several research or previous study in Implementation ERP. This study will extends in the research field of successful implementation ERP and implication factor for business practice to have more knowledge in term of implementation ERP and their business strategy. 

  3. Results of the 2013 UT modeling benchmark obtained with models implemented in CIVA

    Energy Technology Data Exchange (ETDEWEB)

    Toullelan, Gwénaël; Raillon, Raphaële; Chatillon, Sylvain [CEA, LIST, 91191Gif-sur-Yvette (France); Lonne, Sébastien [EXTENDE, Le Bergson, 15 Avenue Emile Baudot, 91300 MASSY (France)

    2014-02-18

    The 2013 Ultrasonic Testing (UT) modeling benchmark concerns direct echoes from side drilled holes (SDH), flat bottom holes (FBH) and corner echoes from backwall breaking artificial notches inspected with a matrix phased array probe. This communication presents the results obtained with the models implemented in the CIVA software: the pencilmodel is used to compute the field radiated by the probe, the Kirchhoff approximation is applied to predict the response of FBH and notches and the SOV (Separation Of Variables) model is used for the SDH responses. The comparison between simulated and experimental results are presented and discussed.

  4. Customer relationship management maturity model (CRM3: A model for stepwise implementation

    Directory of Open Access Journals (Sweden)

    Babak Sohrabi

    2010-01-01

    Full Text Available Being multifaceted process, implementing customer relationship management (CRM project has a high risk and uncertainty that must be reduced using planning to get the desirable benefits. As a matter of fact, existing and optimal position must be determined to reduce the gap between them via suitable investment. To identify this gap as well as the way to higher and optimal condition, maturity model can be used. Relying on extended literature, the present paper reviews the existing models and then develops a model for measuring CRM maturity based on CRM critical success factors, CMMI levels and RADAR logic.

  5. 应用EKF平滑算法提高GPS/INS定位定姿精度%Improving Position and Attitude Precision of GPS/INS by Applying EKF Smoothing Algorithm

    Institute of Scientific and Technical Information of China (English)

    石波; 卢秀山; 陈允芳

    2012-01-01

    为了提高城市遮挡环境下GPS较长时间(60 s)无法单独定位情况下GPS/INS组合定位定姿精度,研究了扩展卡尔曼滤波及其RTS(Rauch Tung Striebel)平滑算法;同时给出了基于ψ角惯导误差模型的GPS/INS组合系统状态方程和基于位置、速度更新的量测方程.实验中模拟GPS信号失锁60 s,应用RTS后处理算法进行了GPS/INS组合数据处理.结果表明,扩展卡尔曼滤波EKF平滑算法可以有效地提高城市遮挡环境下GPS/INS组合定位定姿精度,特别是对GPS失锁的情况.从而很大程度上降低对高成本惯导的依赖.%Extended Kalman Filter(EKF)and RTS smoothing algorithm was studied in order to improve GPS/ INS integrated position and attitude accuracy in the case that GPS failed to position independently for a long time(60 s)due to the occlusion in the city, meanwhile, GPS/INS integrated system state equation based on INS error model and measurement equation based on position, speed update were put forward. In the experiment, GPS outage for 60 seconds was simulated and GPS/INS integrated data were processed with RTS post processing algorithm. The experiment showed that extended Kalman smoothing algorithm can efficiently improve GPS/INS integrated positioning and attitude accuracy under the circumstance of occlusion in the city, especially in the case of GPS outage, thus reducing dependence on costly INS to a great extent.

  6. A computational fluid dynamics model for wind simulation:model implementation and experimental validation

    Institute of Scientific and Technical Information of China (English)

    Zhuo-dong ZHANG; Ralf WIELAND; Matthias REICHE; Roger FUNK; Carsten HOFFMANN; Yong LI; Michael SOMMER

    2012-01-01

    To provide physically based wind modelling for wind erosion research at regional scale,a 3D computational fluid dynamics (CFD) wind model was developed.The model was programmed in C language based on the Navier-Stokes equations,and it is freely available as open source.Integrated with the spatial analysis and modelling tool (SAMT),the wind model has convenient input preparation and powerful output visualization.To validate the wind model,a series of experiments was conducted in a wind tunnel.A blocking inflow experiment was designed to test the performance of the model on simulation of basic fluid processes.A round obstacle experiment was designed to check if the model could simulate the influences of the obstacle on wind field.Results show that measured and simulated wind fields have high correlations,and the wind model can simulate both the basic processes of the wind and the influences of the obstacle on the wind field.These results show the high reliability of the wind model.A digital elevation model (DEM) of an area (3800 m long and 1700 m wide) in the Xilingele grassland in Inner Mongolia (autonomous region,China) was applied to the model,and a 3D wind field has been successfully generated.The clear implementation of the model and the adequate validation by wind tunnel experiments laid a solid foundation for the prediction and assessment of wind erosion at regional scale.

  7. Developing an active implementation model for a chronic disease management program

    Directory of Open Access Journals (Sweden)

    Margrethe Smidth

    2013-06-01

    Full Text Available Background: Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council’s model for complex interventions and the Chronic Care Model.Methods: We used the Medical Research Council’s five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model. Results: The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council’s model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active

  8. Developing an active implementation model for a chronic disease management program

    Directory of Open Access Journals (Sweden)

    Margrethe Smidth

    2013-06-01

    Full Text Available Background: Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council’s model for complex interventions and the Chronic Care Model.Methods: We used the Medical Research Council’s five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model.Results: The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council’s model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active

  9. Developing an active implementation model for a chronic disease management program.

    Science.gov (United States)

    Smidth, Margrethe; Christensen, Morten Bondo; Olesen, Frede; Vedsted, Peter

    2013-04-01

    Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD) which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council's model for complex interventions and the Chronic Care Model. We used the Medical Research Council's five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model. The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council's model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active implementation model was tested in a randomised trial

  10. Implementation and Development of an Eulerian Spray Model for CFD simulations of diesel Sprays

    OpenAIRE

    2016-01-01

    [EN] The main objective of this work is the modeling of diesel sprays under engine conditions, including the atomization, transport and evaporation processes pivotal in the diesel spray formation and its development. For this purpose, an Eulerian single fluid model, embedded in a RANS environment, is implemented in the CFD platform OpenFOAM. The modeling approach implemented here is based on the ⅀-Y model. The model is founded on the assumption of flow scales separation. In actual i...

  11. Modeling and Implementation of PID Control for Autonomous Robots

    Science.gov (United States)

    2007-06-01

    Richard Dorf . Modern Control Systems. New York, New York: Addison-Wesley Publishing, 1995. Cabezas, Rodrigo. Design of A Bore Sight Camera For The...IMPLEMENTATION OF PID CONTROL FOR AUTONOMOUS ROBOTS by Todd A. Williamson June 2007 Thesis Advisor: Richard Harkins Second Reader: Peter...Author: Todd A. Williamson Approved by: Richard Harkins Thesis Advisor Peter Crooker Second Reader James Luscombe

  12. Cost Estimates for Designing and Implementing a Novel Team Care Model for Chronically Ill Patients.

    Science.gov (United States)

    Panattoni, Laura; Dillon, Ellis; Hurlimann, Lily; Durbin, Meg; Tai-Seale, Ming

    2017-09-25

    Little is known about the cost of implementing chronic care models. We estimate the human resource cost of implementing a novel team-based chronic care model "Champion," at a large multispecialty group practice. We used activity-based costing to calculate costs from development through rollout and stabilization in 1 clinic with 12 000 chronic care patients. Data analyzed included Microsoft Outlook meeting metadata, supporting documents, and 2014 employee wages. Implementation took more than 29 months, involved 168 employees, and cost the organization $2 304 787. Payers may need to consider a mixed-payment model to support the both implementation and maintenance costs of team-based chronic care.

  13. A Model Of The Underlying Philosophy And Criteria For Effective Implementation Of Performance Management

    Directory of Open Access Journals (Sweden)

    C. M. Whitford

    2006-11-01

    Full Text Available The objective of this study was to develop a model that assists organisations in implementing performance management effectively. A model describing the philosophical paradigm underpinning best practice in performance management and the criteria for effective implementation of performance management was developed. The sample used in this study was a convenience sample of 615 employees. Exploratory factor analysis revealed three reliable philosophical dimensions. Moderate correlations were found between the three dimensions and some of the implementation criteria.

  14. Dead reckoning method for autonomous underwater vehicles based on EKF%基于EKF的无人潜航器航位推算算法

    Institute of Scientific and Technical Information of China (English)

    边信黔; 周佳加; 严浙平; 赵大威

    2011-01-01

    为了解决传感器的安装角偏离误差以及量测误差导致的无人潜航器(AUV)在水下自主航行时不能满足长时间导航定位的要求,对航位推算算法进行了研究.针对AUV在高纬度、长时间航行中曲率半径的变化,采用地球参考椭球体作为地球几何形状的数学描述;针对数据滤波实时性的要求,基于扩展卡尔曼滤波(EKF)对卫星导航系统(GPS)数据进行滤波,并利用AUV湖试数据对传感器的安装偏离误差进行了校正.对提出的导航算法进行了试验验证,结果表明AUV的自主导航定位精度为0.75%,满足设计要求,并优于改进前的航位推算算法.%Owing to the installation angle's deviation error of sensors and the measurement error, the autonomous underwater vehicle (AUV) could not meet the time requirements of navigation and posi tioning when it undertakes underwater autonomous navigation. For the navigation of the vehicle at a high latitude or long time, the earth reference ellipsoid was adopted to descript earth's geometry to adapt to the change of radius curvature. Thus, a dead reckoning method for unmanned underwater vehicle was studied based on extended Kalman filtering (EKF). And the installation angle's deviation error was corrected by the data from the lake experiment of AUV. Finally, the proposed navigation method was tested by lake experiment, resulting with a navigation accuracy of 0.75% which satisfied the design requirements. The experiment demonstrates that the dead reckoning method is more preferable than normal ones.

  15. A Model of Microteaching Lesson Study Implementation in the Prospective History Teacher Education

    Science.gov (United States)

    Utami, Indah Wahyu Puji; Mashuri; Nafi'ah, Ulfatun

    2016-01-01

    Microteaching lesson study is a model to improve prospective teacher quality by incorporating several element of microteaching and lesson study. This study concern on the implementation of microteaching lesson study in prospective history teacher education. Microteaching lesson study model implemented in this study consist of three stages: plan,…

  16. Flexible Design and Implementation of Cognitive Models for Predicting Pilot Errors in Cockpit Design

    NARCIS (Netherlands)

    Diggelen, J. van; Janssen, J.; Mioch, T.

    2010-01-01

    This paper describes an integrated design and implementation framework for cognitive models in complex task environments. We propose a task- and humancentered development methodology for deriving the cognitive models, and present a goal-based framework for implementing them. We illustrate our approa

  17. A hybrid architecture for the implementation of the Athena neural net model

    Science.gov (United States)

    Koutsougeras, C.; Papachristou, C.

    1989-01-01

    The implementation of an earlier introduced neural net model for pattern classification is considered. Data flow principles are employed in the development of a machine that efficiently implements the model and can be useful for real time classification tasks. Further enhancement with optical computing structures is also considered.

  18. Numerical implementation of a state variable model for friction

    Energy Technology Data Exchange (ETDEWEB)

    Korzekwa, D.A. [Los Alamos National Lab., NM (United States); Boyce, D.E. [Cornell Univ., Ithaca, NY (United States)

    1995-03-01

    A general state variable model for friction has been incorporated into a finite element code for viscoplasticity. A contact area evolution model is used in a finite element model of a sheet forming friction test. The results show that a state variable model can be used to capture complex friction behavior in metal forming simulations. It is proposed that simulations can play an important role in the analysis of friction experiments and the development of friction models.

  19. Thermodynamics of a physical model implementing a Maxwell demon

    OpenAIRE

    Strasberg, Philipp; Schaller, Gernot; Brandes, Tobias; Esposito, Massimiliano

    2012-01-01

    We present a physical implementation of a Maxwell demon which consists of a conventional single electron transistor (SET) capacitively coupled to another quantum dot detecting its state. Altogether, the system is described by stochastic thermodynamics. We identify the regime where the energetics of the SET is not affected by the detection, but where its coarse-grained entropy production is shown to contain a new contribution compared to the isolated SET. This additional contributi...

  20. Model for the evaluation of implementation programs and professional pharmacy services.

    Science.gov (United States)

    Moullin, Joanna C; Sabater-Hernández, Daniel; Benrimoj, Shalom I

    2016-01-01

    Pharmacy practice and pharmaceutical care research of professional services has largely focused on patient outcomes and cost-effectiveness. Research studies have been, for the most part, conducted in controlled conditions prior to full scale implementation. There appears to be a dearth of process and evaluation of implementation reported. Conducting implementation research or adding implementation measures to an impact study, adds external validity to service and patient outcomes. Evaluations are required for all aspects of implementation including indicators of movement through the implementation stages (formative and summative implementation process evaluation), measures of influencing factors (barriers and facilitators) and change in factors over time (implementation impact), assessment of strategies and/or the implementation program, and overall measures to generate a level of implementation (implementation outcomes). The level of implementation of a professional pharmacy service can be estimated from the level of service delivery (reach and fidelity) and level as a service provider (integration and strength of support in the service environment). The model may be used for evaluating professional pharmacy services and for evaluating implementation programs.

  1. Implementing the Mother-Baby Model of Nursing Care Using Models and Quality Improvement Tools.

    Science.gov (United States)

    Brockman, Vicki

    As family-centered care has become the expected standard, many facilities follow the mother-baby model, in which care is provided to both a woman and her newborn in the same room by the same nurse. My facility employed a traditional model of nursing care, which was not evidence-based or financially sustainable. After implementing the mother-baby model, we experienced an increase in exclusive breastfeeding rates at hospital discharge, increased patient satisfaction, improved staff productivity and decreased salary costs, all while the number of births increased. Our change was successful because it was guided by the use of quality improvement tools, change theory and evidence-based practice models. © 2015 AWHONN.

  2. Hopes and Cautions in Implementing Bayesian Structural Equation Modeling

    Science.gov (United States)

    MacCallum, Robert C.; Edwards, Michael C.; Cai, Li

    2012-01-01

    Muthen and Asparouhov (2012) have proposed and demonstrated an approach to model specification and estimation in structural equation modeling (SEM) using Bayesian methods. Their contribution builds on previous work in this area by (a) focusing on the translation of conventional SEM models into a Bayesian framework wherein parameters fixed at zero…

  3. Accurate mask model implementation in OPC model for 14nm nodes and beyond

    Science.gov (United States)

    Zine El Abidine, Nacer; Sundermann, Frank; Yesilada, Emek; Farys, Vincent; Huguennet, Frederic; Armeanu, Ana-Maria; Bork, Ingo; Chomat, Michael; Buck, Peter; Schanen, Isabelle

    2015-10-01

    In a previous work [1] we demonstrated that current OPC model assuming the mask pattern to be analogous to the designed data is no longer valid. Indeed as depicted in figure 1, an extreme case of line-end shortening shows a gap up to 10 nm difference (at mask level). For that reason an accurate mask model, for a 14nm logic gate level has been calibrated. A model with a total RMS of 1.38nm at mask level was obtained. 2D structures such as line-end shortening and corner rounding were well predicted using SEM pictures overlaid with simulated contours. The first part of this paper is dedicated to the implementation of our improved model in current flow. The improved model consists of a mask model capturing mask process and writing effects and a standard optical and resist model addressing the litho exposure and development effects at wafer level. The second part will focus on results from the comparison of the two models, the new and the regular, as depicted in figure 2.

  4. Accurate mask model implementation in optical proximity correction model for 14-nm nodes and beyond

    Science.gov (United States)

    Zine El Abidine, Nacer; Sundermann, Frank; Yesilada, Emek; Farys, Vincent; Huguennet, Frederic; Armeanu, Ana-Maria; Bork, Ingo; Chomat, Michael; Buck, Peter; Schanen, Isabelle

    2016-04-01

    In a previous work, we demonstrated that the current optical proximity correction model assuming the mask pattern to be analogous to the designed data is no longer valid. An extreme case of line-end shortening shows a gap up to 10 nm difference (at mask level). For that reason, an accurate mask model has been calibrated for a 14-nm logic gate level. A model with a total RMS of 1.38 nm at mask level was obtained. Two-dimensional structures, such as line-end shortening and corner rounding, were well predicted using scanning electron microscopy pictures overlaid with simulated contours. The first part of this paper is dedicated to the implementation of our improved model in current flow. The improved model consists of a mask model capturing mask process and writing effects, and a standard optical and resist model addressing the litho exposure and development effects at wafer level. The second part will focus on results from the comparison of the two models, the new and the regular.

  5. Global horizontal irradiance clear sky models : implementation and analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.

    2012-03-01

    Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.

  6. Modeling the dynamics of evaluation: a multilevel neural network implementation of the iterative reprocessing model.

    Science.gov (United States)

    Ehret, Phillip J; Monroe, Brian M; Read, Stephen J

    2015-05-01

    We present a neural network implementation of central components of the iterative reprocessing (IR) model. The IR model argues that the evaluation of social stimuli (attitudes, stereotypes) is the result of the IR of stimuli in a hierarchy of neural systems: The evaluation of social stimuli develops and changes over processing. The network has a multilevel, bidirectional feedback evaluation system that integrates initial perceptual processing and later developing semantic processing. The network processes stimuli (e.g., an individual's appearance) over repeated iterations, with increasingly higher levels of semantic processing over time. As a result, the network's evaluations of stimuli evolve. We discuss the implications of the network for a number of different issues involved in attitudes and social evaluation. The success of the network supports the IR model framework and provides new insights into attitude theory.

  7. Implementing land use change models in the developing world

    CSIR Research Space (South Africa)

    Le Roux, Alize

    2013-07-01

    Full Text Available in the developing world -Reshaping cities through urban land use modeling- Alize le Roux 2013 Esri International User Conference July 8–12, 2013 | San Diego, California Presentation outline 1. Urban land use change models 2. Value of these models 3... are data hungry 5. Massive potential for municipal consumption projections • Water, energy, waste water, solid waste, public transport, libraries, revenue, … Q & A ___________________________ Alize le Roux ALeroux1@csir.co.za ...

  8. Commercial Implementation of Model-Based Manufacturing of Nanostructured Metals

    Energy Technology Data Exchange (ETDEWEB)

    Lowe, Terry C. [Los Alamos National Laboratory

    2012-07-24

    Computational modeling is an essential tool for commercial production of nanostructured metals. Strength is limited by imperfections at the high strength levels that are achievable in nanostructured metals. Processing to achieve homogeneity at the micro- and nano-scales is critical. Manufacturing of nanostructured metals is intrinsically a multi-scale problem. Manufacturing of nanostructured metal products requires computer control, monitoring and modeling. Large scale manufacturing of bulk nanostructured metals by Severe Plastic Deformation is a multi-scale problem. Computational modeling at all scales is essential. Multiple scales of modeling must be integrated to predict and control nanostructural, microstructural, macrostructural product characteristics and production processes.

  9. A Novel Approach to Implement Takagi-Sugeno Fuzzy Models.

    Science.gov (United States)

    Chang, Chia-Wen; Tao, Chin-Wang

    2017-09-01

    This paper proposes new algorithms based on the fuzzy c-regressing model algorithm for Takagi-Sugeno (T-S) fuzzy modeling of the complex nonlinear systems. A fuzzy c-regression state model (FCRSM) algorithm is a T-S fuzzy model in which the functional antecedent and the state-space-model-type consequent are considered with the available input-output data. The antecedent and consequent forms of the proposed FCRSM consists mainly of two advantages: one is that the FCRSM has low computation load due to only one input variable is considered in the antecedent part; another is that the unknown system can be modeled to not only the polynomial form but also the state-space form. Moreover, the FCRSM can be extended to FCRSM-ND and FCRSM-Free algorithms. An algorithm FCRSM-ND is presented to find the T-S fuzzy state-space model of the nonlinear system when the input-output data cannot be precollected and an assumed effective controller is available. In the practical applications, the mathematical model of controller may be hard to be obtained. In this case, an online tuning algorithm, FCRSM-FREE, is designed such that the parameters of a T-S fuzzy controller and the T-S fuzzy state model of an unknown system can be online tuned simultaneously. Four numerical simulations are given to demonstrate the effectiveness of the proposed approach.

  10. An implementation of a barotropic quasigeostrophic model of ocean circulation on the MPP

    Science.gov (United States)

    Grosch, C. E.; Fatoohi, R.

    1987-01-01

    The implementation on the Massively Parallel Processor (MPP) of a barotropic quasigeostrophic model of ocean circulation is discussed. The mathematical model, including scalings and boundary conditions is discussed. The numerical scheme, which uses compact differencing is also discussed. The implementation of this model on the MPP is then presented. Finally, some performance results are given and compared to results obtained using the VPS-32 and one processor of a CRAY-2.

  11. Potential Improvement of Building Information Modeling (BIM) Implementation in Malaysian Construction Projects

    OpenAIRE

    Latiffi, Aryani,; Mohd, Suzila; Rakiman, Umol,

    2015-01-01

    Part 4: Building Information Modeling (BIM); International audience; Application of building information modeling (BIM), such as preview design clashes and visualize project’s model increase effectiveness in managing construction projects. However, its implementation in Malaysian construction projects is slow in order to see and gain the benefits. Therefore, this paper aims to explore on potential improvement that could increase BIM implementation in construction projects. A literature review...

  12. Computer Implementation of a New Therapeutic Model for GBM Tumor

    Directory of Open Access Journals (Sweden)

    Ali Jamali Nazari

    2014-01-01

    Full Text Available Modeling the tumor behavior in the host organ as function of time and radiation dose has been a major study in the previous decades. Here the effort in estimation of cancerous and normal cell proliferation and growth in glioblastoma multiform (GBM tumor is presented. This paper introduces a new mathematical model in the form of differential equation of tumor growth. The model contains dose delivery amount in the treatment scheme as an input term. It also can be utilized to optimize the treatment process in order to increase the patient survival period. Gene expression programming (GEP as a new concept is used for estimating this model. The LQ model has also been applied to GEP as an initial value, causing acceleration and improvement of the algorithm estimation. The model shows the number of the tumor and normal brain cells during the treatment process using the status of normal and cancerous cells in the initiation of treatment, the timing and amount of dose delivery to the patient, and a coefficient that describes the brain condition. A critical level is defined for normal cell when the patient’s death occurs. In the end the model has been verified by clinical data obtained from previous accepted formulae and some of our experimental resources. The proposed model helps to predict tumor growth during treatment process in which further treatment processes can be controlled.

  13. Automated model integration at source code level: An approach for implementing models into the NASA Land Information System

    Science.gov (United States)

    Wang, S.; Peters-Lidard, C. D.; Mocko, D. M.; Kumar, S.; Nearing, G. S.; Arsenault, K. R.; Geiger, J. V.

    2014-12-01

    Model integration bridges the data flow between modeling frameworks and models. However, models usually do not fit directly into a particular modeling environment, if not designed for it. An example includes implementing different types of models into the NASA Land Information System (LIS), a software framework for land-surface modeling and data assimilation. Model implementation requires scientific knowledge and software expertise and may take a developer months to learn LIS and model software structure. Debugging and testing of the model implementation is also time-consuming due to not fully understanding LIS or the model. This time spent is costly for research and operational projects. To address this issue, an approach has been developed to automate model integration into LIS. With this in mind, a general model interface was designed to retrieve forcing inputs, parameters, and state variables needed by the model and to provide as state variables and outputs to LIS. Every model can be wrapped to comply with the interface, usually with a FORTRAN 90 subroutine. Development efforts need only knowledge of the model and basic programming skills. With such wrappers, the logic is the same for implementing all models. Code templates defined for this general model interface could be re-used with any specific model. Therefore, the model implementation can be done automatically. An automated model implementation toolkit was developed with Microsoft Excel and its built-in VBA language. It allows model specifications in three worksheets and contains FORTRAN 90 code templates in VBA programs. According to the model specification, the toolkit generates data structures and procedures within FORTRAN modules and subroutines, which transfer data between LIS and the model wrapper. Model implementation is standardized, and about 80 - 90% of the development load is reduced. In this presentation, the automated model implementation approach is described along with LIS programming

  14. Intentional systems: Review of neurodynamics, modeling, and robotics implementation

    Science.gov (United States)

    Kozma, Robert

    2008-03-01

    We present an intentional neurodynamic theory for higher cognition and intelligence. This theory provides a unifying framework for integrating symbolic and subsymbolic methods as complementary aspects of human intelligence. Top-down symbolic approaches benefit from the vast experience with logical reasoning and with high-level knowledge processing in humans. Connectionist methods use bottom-up approach to generate intelligent behavior by mimicking subsymbolic aspects of the operation of brains and nervous systems. Neurophysiological correlates of intentionality and cognition include sequences of oscillatory patterns of mesoscopic neural activity. Oscillatory patterns are viewed as intermittent representations of generalized symbol systems, with which brains compute. These dynamical symbols are not rigid but flexible. They disappear soon after they emerged through spatio-temporal phase transitions. Intentional neurodynamics provides a solution to the notoriously difficult symbol grounding problem. Some examples of implementations of the corresponding dynamic principles are described in this review.

  15. Impact of implementation choices on quantitative predictions of cell-based computational models

    Science.gov (United States)

    Kursawe, Jochen; Baker, Ruth E.; Fletcher, Alexander G.

    2017-09-01

    'Cell-based' models provide a powerful computational tool for studying the mechanisms underlying the growth and dynamics of biological tissues in health and disease. An increasing amount of quantitative data with cellular resolution has paved the way for the quantitative parameterisation and validation of such models. However, the numerical implementation of cell-based models remains challenging, and little work has been done to understand to what extent implementation choices may influence model predictions. Here, we consider the numerical implementation of a popular class of cell-based models called vertex models, which are often used to study epithelial tissues. In two-dimensional vertex models, a tissue is approximated as a tessellation of polygons and the vertices of these polygons move due to mechanical forces originating from the cells. Such models have been used extensively to study the mechanical regulation of tissue topology in the literature. Here, we analyse how the model predictions may be affected by numerical parameters, such as the size of the time step, and non-physical model parameters, such as length thresholds for cell rearrangement. We find that vertex positions and summary statistics are sensitive to several of these implementation parameters. For example, the predicted tissue size decreases with decreasing cell cycle durations, and cell rearrangement may be suppressed by large time steps. These findings are counter-intuitive and illustrate that model predictions need to be thoroughly analysed and implementation details carefully considered when applying cell-based computational models in a quantitative setting.

  16. An Approach for the Implementation of Software Quality Models Adpoting CERTICS and CMMI-DEV

    Directory of Open Access Journals (Sweden)

    GARCIA, F.W.

    2015-12-01

    Full Text Available This paper proposes a mapping between two product quality and software processes models used in the industry, the CERTICS national model and the CMMI-DEV international model. The stages of mapping are presented step by step, as well as the mapping review, which had the cooperation of one specialist in CERTICS and CMMI-DEV models. It aims to correlate the structures of the two models in order to facilitate and reduce the implementation time and costs, and to stimulate the execution of multi-model implementations in software developers companies.

  17. Implementation and Validation of IEC Generic Type 1A Wind Turbine Generator Model

    DEFF Research Database (Denmark)

    Zhao, Haoran; Wu, Qiuwei; Margaris, Ioannis

    2015-01-01

    This paper presents the implementation of the International Electrotechnical Commission (IEC) generic Type 1A wind turbine generator (WTG) model in Power Factory (PF) and the validation of the implemented model against field measurements. The IEC generic Type 1A WTG model structure is briefly...... described. The details are explained regarding how the two mass mechanical model is implemented when the generator mass is included in the PF built-in generator model. In order to verify the IEC generic Type 1A WTG model, the model to field measurement validation method was employed. The model to field...... the simulation results and measurements were calculated according to the voltage dip windows and the index definition specified in the IEC 61400-27-1 committee draft. Copyright © 2014 John Wiley & Sons, Ltd....

  18. Modelling and implementing electronic health records in Denmark

    DEFF Research Database (Denmark)

    Bernstein, Knut; Rasmussen, Morten Bruun; Vingtoft, Søren;

    2003-01-01

    The Danish Health IT strategy points out that integration between electronic health records (EHR) systems has a high priority. This paper reporst reports new tendencies in modelling and integration platforms globally and how this is reflected in the natinal development.......The Danish Health IT strategy points out that integration between electronic health records (EHR) systems has a high priority. This paper reporst reports new tendencies in modelling and integration platforms globally and how this is reflected in the natinal development....

  19. Modelling and implementing electronic health records in Denmark

    DEFF Research Database (Denmark)

    Bernstein, Knut; Rasmussen, Morten Bruun; Vingtoft, Søren

    2003-01-01

    The Danish Health IT strategy points out that integration between electronic health records (EHR) systems has a high priority. This paper reporst reports new tendencies in modelling and integration platforms globally and how this is reflected in the natinal development.......The Danish Health IT strategy points out that integration between electronic health records (EHR) systems has a high priority. This paper reporst reports new tendencies in modelling and integration platforms globally and how this is reflected in the natinal development....

  20. Model checking a cache coherence protocol for a Java DSM implementation

    NARCIS (Netherlands)

    J. Pang; W.J. Fokkink (Wan); R. Hofman (Rutger); R. Veldema

    2007-01-01

    textabstractJackal is a fine-grained distributed shared memory implementation of the Java programming language. It aims to implement Java's memory model and allows multithreaded Java programs to run unmodified on a distributed memory system. It employs a multiple-writer cache coherence

  1. Model checking a cache coherence protocol for a Java DSM implementation

    NARCIS (Netherlands)

    Pang, J.; Fokkink, W.J.; Hofman, R.; Veldema, R.

    2007-01-01

    Jackal is a fine-grained distributed shared memory implementation of the Java programming language. It aims to implement Java's memory model and allows multithreaded Java programs to run unmodified on a distributed memory system. It employs a multiple-writer cache coherence protocol. In this paper,

  2. Teacher Candidates' Implementation of the Personal and Social Responsibility Model in Field Experiences

    Science.gov (United States)

    Lee, Okseon

    2012-01-01

    With the teacher concerns theory (Fuller, 1969) as a theoretical framework, this study has set out to examine how physical education teacher candidates perceive their implementation of the Personal and Social Responsibility Model (Hellison, 2003) and how they actually implement it during field experience. Five teacher candidates (three female, two…

  3. Moving toward Change: Institutionalizing Reform through Implementation of the Learning Assistant Model and Open Source Tutorials

    Science.gov (United States)

    Goertzen, Renee Michelle; Brewe, Eric; Kramer, Laird H.; Wells, Leanne; Jones, David

    2011-01-01

    Florida International University has undergone a reform in the introductory physics classes by focusing on the laboratory component of these classes. We present results from the secondary implementation of two research-based instructional strategies: the implementation of the Learning Assistant model as developed by the University of Colorado at…

  4. Career Guidance: An Implementation Model for Small High Schools. A Maxi I Practicum.

    Science.gov (United States)

    Stevens, Richard; And Others

    The purpose of this practicum was to design, develop, and implement a career guidance program for small high schools. The program description would act as a model for implementation at other high schools desiring a career guidance program. The method of communicating the program to others was the writing of a "how to" book which others would use…

  5. Integrating operational watershed and coastal models for the Iberian Coast: Watershed model implementation - A first approach

    Science.gov (United States)

    Brito, David; Campuzano, F. J.; Sobrinho, J.; Fernandes, R.; Neves, R.

    2015-12-01

    River discharges and loads are essential inputs to coastal seas, and thus for coastal seas modelling, and their properties are the result of all activities and policies carried inland. For these reasons main rivers were object of intense monitoring programs having been generated some important amount of historical data. Due to the decline in the Portuguese hydrometric network and in order to quantify and forecast surface water streamflow and nutrients to coastal areas, the MOHID Land model was applied to the Western Iberia Region with a 2 km horizontal resolution and to the Iberian Peninsula with 10 km horizontal resolution. The domains were populated with land use and soil properties and forced with existing meteorological models. This approach also permits to understand how the flows and loads are generated and to forecast their values which are of utmost importance to perform coastal ocean and estuarine forecasts. The final purpose of the implementation is to obtain fresh water quantity and quality that could be used to support management decisions in the watershed, reservoirs and also to estuaries and coastal areas. A process oriented model as MOHID Land is essential to perform this type of simulations, as the model is independent of the number of river catchments. In this work, the Mohid Land model equations and parameterisations were described and an innovative methodology for watershed modelling is presented and validated for a large international river, the Tagus River, and the largest national river of Portugal, the Mondego River. Precipitation, streamflow and nutrients modelling results for these two rivers were compared with observations near their coastal outlet in order to evaluate the model capacity to represent the main watershed trends. Finally, an annual budget of fresh water and nutrient transported by the main twenty five rivers discharging in the Portuguese coast is presented.

  6. Modelling and Implementation of Network Coding for Video

    Directory of Open Access Journals (Sweden)

    Can Eyupoglu

    2016-08-01

    Full Text Available In this paper, we investigate Network Coding for Video (NCV which we apply for video streaming over wireless networks. NCV provides a basis for network coding. We use NCV algorithm to increase throughput and video quality. When designing NCV algorithm, we take the deadline as well as the decodability of the video packet at the receiver. In network coding, different flows of video packets are packed into a single packet at intermediate nodes and forwarded to other nodes over wireless networks. There are many problems that occur during transmission on the wireless channel. Network coding plays an important role in dealing with these problems. We observe the benefits of network coding for throughput increase thanks to applying broadcast operations on wireless networks. The aim of this study is to implement NCV algorithm using C programming language which takes the output of the H.264 video codec generating the video packets. In our experiments, we investigated improvements in terms of video quality and throughput at different scenarios.

  7. Implementing the WebSocket Protocol Based on Formal Modelling and Automated Code Generation

    DEFF Research Database (Denmark)

    Simonsen, Kent Inge; Kristensen, Lars Michael

    2014-01-01

    protocols. Furthermore, we perform formal verification of the CPN model prior to code generation, and test the implementation for interoperability against the Autobahn WebSocket test-suite resulting in 97% and 99% success rate for the client and server implementation, respectively. The tests show...... with pragmatic annotations for automated code generation of protocol software. The contribution of this paper is an application of the approach as implemented in the PetriCode tool to obtain protocol software implementing the IETF WebSocket protocol. This demonstrates the scalability of our approach to real...

  8. Implementation of Gravity Model to Estimation of Transportation Market Shares

    Science.gov (United States)

    Krata, Przemysław

    2010-03-01

    The theoretical consideration presented in the paper is inspired by market gravity models, as an interesting attitude towards operations research on a market. The transportation market issues are emphasized. The mathematical model of relations, taking place between transportation companies and their customers on the market, which is applied in the course of the research is based on continuous functions characteristics. This attitude enables the use of the field theory notions. The resultant vector-type utility function facilitates obtaining of competitive advantage areas for all transportation companies located on the considered transportation market.

  9. Understanding the Effect of Baseline Modeling Implementation Choices on Analysis of Demand Response Performance

    Energy Technology Data Exchange (ETDEWEB)

    University of California, Berkeley; Addy, Nathan; Kiliccote, Sila; Mathieu, Johanna; Callaway, Duncan S.

    2012-06-13

    Accurate evaluation of the performance of buildings participating in Demand Response (DR) programs is critical to the adoption and improvement of these programs. Typically, we calculate load sheds during DR events by comparing observed electric demand against counterfactual predictions made using statistical baseline models. Many baseline models exist and these models can produce different shed calculations. Moreover, modelers implementing the same baseline model can make different modeling implementation choices, which may affect shed estimates. In this work, using real data, we analyze the effect of different modeling implementation choices on shed predictions. We focused on five issues: weather data source, resolution of data, methods for determining when buildings are occupied, methods for aligning building data with temperature data, and methods for power outage filtering. Results indicate sensitivity to the weather data source and data filtration methods as well as an immediate potential for automation of methods to choose building occupied modes.

  10. Modeling performance measurement applications and implementation issues in DEA

    CERN Document Server

    Cook, Wade D

    2005-01-01

    Addresses advanced/new DEA methodology and techniques that are developed for modeling unique and new performance evaluation issuesPesents new DEA methodology and techniques via discussions on how to solve managerial problemsProvides an easy-to-use DEA software - DEAFrontier (www.deafrontier.com) which is an excellent tool for both DEA researchers and practitioners.

  11. Implementing Relevance Feedback in the Bayesian Network Retrieval Model.

    Science.gov (United States)

    de Campos, Luis M.; Fernandez-Luna, Juan M.; Huete, Juan F.

    2003-01-01

    Discussion of relevance feedback in information retrieval focuses on a proposal for the Bayesian Network Retrieval Model. Bases the proposal on the propagation of partial evidences in the Bayesian network, representing new information obtained from the user's relevance judgments to compute the posterior relevance probabilities of the documents…

  12. I-STEM Ed Exemplar: Implementation of the PIRPOSAL Model

    Science.gov (United States)

    Wells, John G.

    2016-01-01

    The opening pages of the first PIRPOSAL (Problem Identification, Ideation, Research, Potential Solutions, Optimization, Solution Evaluation, Alterations, and Learned Outcomes) article make the case that the instructional models currently used in K-12 Science, Technology, Engineering, and Mathematics (STEM) Education fall short of conveying their…

  13. Inferring Requirement Goals from Model Implementing in UML

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    UML is used widely in many software developmentprocesses.However,it does not make explicit requirement goals.Here is a method tending to establish the semantic relationship between requirements goals and UML models.Before the method is introduced,some relevant concepts are described

  14. Child Health Improvement through Implementation of Food Safety Model

    Directory of Open Access Journals (Sweden)

    Arief Safari

    2016-06-01

    Pemenuhan akan pangan merupakan komponen dasar untuk mewujudkan sumber daya manusia yang berkualitas. Namun, masih terdapat permasalahan dalam mewujudkannya, di antaranya masalah keamanan pangan dengan persentase kasus keracunan makanan masih tinggi. Penelitian ini bertujuan untuk menganalisis situasi pelaksanaan keamanan Pangan Jajanan Anak Sekolah (PJAS yang ada saat ini dan memilih alternatif model keamanan pangan yang paling efektif dan efisien diterapkan di usaha mikro kecil (UMK guna meningkatkan keamanan pangan yang dihasilkannya sehingga terjadi peningkatan kesehatan anak. Penelitian dilakukan pada kuartal II tahun 2015 sampai dengan awal kuartal III tahun 2015 melalui survei lapangan dan survei pakar dengan mengambil studi kasus di lingkungan sekolah dasar. Survei lapangan melibatkan 102 responden untuk memungkinkan dilakukannya analisis situasional dan juga survei pakar untuk memilih model keamanan pangan yang paling efektif dan efisien untuk diterapkan pada UMK PJAS dengan Analytical Hierarchy Process. Hasil survei lapangan menunjukkan 91% responden anak sekolah pernah mengalami gangguan kesehatan setelah mengonsumsi PJAS. Selain itu, 100% responden UMK PJAS tidak menggunakan masker dan sarung tangan sebelum mengolah makanan/minuman, 62% masih menggunakan air sumur sebagai sumber air untuk produksi PJAS dan 86% menggunakan Bahan Tambahan Pangan. Hasil survei pakar menunjukkan model Lima Kunci Pangan Aman terpilih sebagai model keamanan pangan yang paling efektif dan efisien diterapkan pada UMK PJAS.

  15. High power electronics package: from modeling to implementation

    NARCIS (Netherlands)

    Yuan, C.A.; Kregting, R.; Ye, H.; Driel, W. van; Gielen, A.W.J.; Zhang, G.Q.

    2011-01-01

    Power electronics, such as high power RF components and high power LEDs, requires the combination of robust and reliable package structures, materials, and processes to guarantee their functional performance and lifetime. We started with the thermal and thermal-mechanical modeling of such component

  16. Implementing Kuhlthau: A New Model for Library and Reference Instruction.

    Science.gov (United States)

    Isbell, Dennis; Kammerlocher, Lisa

    1998-01-01

    Summarizes Carol Kuhlthau's research on the information search process. Discusses how Kuhlthau's model of students' information search process (ISP) has been integrated into a course at Arizona State University and is being used experimentally as a training tool in the library's reference services. Selected student responses to research process…

  17. The Implementing Model of Empowering Eight for Information Literacy

    Science.gov (United States)

    Boeriswati, Endry

    2012-01-01

    Information literacy is the awareness and skills to identify, locate, evaluate, organize, create, use and communicate information to solve or resolve problems. This article is the result of the research on the efforts to improve students' problem-solving skills in the "Research Methods" course through "Empowering Eight: Information Literacy Model"…

  18. Foreign Models of Financial Equalization, Prospects for Implementation in Ukraine

    Directory of Open Access Journals (Sweden)

    Piontko Nataliia B.

    2015-09-01

    Full Text Available The article is aimed to identify the models of financial equalization applied in foreign countries, and to substantiate the possibilities for use of foreign experience in terms of financial equalization or individual elements of such models on the territory of Ukraine, for taking into consideration the foreign tools of financial equalization in the context of the State regional policy reforms is a priority and urgent task of the present day. During the generalization and systematization of scientific works by numerous domestic and foreign scientists, models of financial equalization, depending on the form of state structure in the country, have been identified. Determinants of the necessity of financial equalization were analyzed, such as: the imbalance between the own financial security and the level of assigned tasks; the level of fiscal decentralization. Methods of income and expenditures equalization, applied in vertical or horizontal levels for balancing regional development, have been substantiated. Features of expansion of financial security of budgets by using innovative tools for equalization have been determined. A comparison of the models of financial equalization in foreign countries was made and the major tasks for improving the mechanism and organization of financial equalization of budgets in Ukraine were defined. Prospects for further research in this area are diversification of tools for financial equalization, defining the investment component in the structure of budgets' incomes and studying the activities of sub-central authorities in the financial market

  19. Possibilities of Land Administration Domain Model (LADM) implementation in Nigeria

    NARCIS (Netherlands)

    Babalola, S.O.; Rahman, A.A.; Choon, L.T.; Van Oosterom, P.J.M.

    2015-01-01

    LADM covers essential information associated components of land administration and management including those over water and elements above and below the surface of the earth. LADM standard provides an abstract conceptual model with three packages and one sub-package. LADM defined terminology for a

  20. MODELS AND SOLUTIONS FOR THE IMPLEMENTATION OF DISTRIBUTED SYSTEMS

    Directory of Open Access Journals (Sweden)

    Tarca Naiana

    2011-07-01

    Full Text Available Software applications may have different degrees of complexity depending on the problems they try to solve and can integrate very complex elements that bring together functionality that sometimes are competing or conflicting. We can take for example a mobile communications system. Functionalities of such a system are difficult to understand, and they add to the non-functional requirements such as the use in practice, performance, cost, durability and security. The transition from local computer networks to cover large networks that allow millions of machines around the world at speeds exceeding one gigabit per second allowed universal access to data and design of applications that require simultaneous use of computing power of several interconnected systems. The result of these technologies has enabled the evolution from centralized to distributed systems that connect a large number of computers. To enable the exploitation of the advantages of distributed systems one had developed software and communications tools that have enabled the implementation of distributed processing of complex solutions. The objective of this document is to present all the hardware, software and communication tools, closely related to the possibility of their application in integrated social and economic level as a result of globalization and the evolution of e-society. These objectives and national priorities are based on current needs and realities of Romanian society, while being consistent with the requirements of Romania's European orientation towards the knowledge society, strengthening the information society, the target goal representing the accomplishment of e-Romania, with its strategic e-government component. Achieving this objective repositions Romania and gives an advantage for sustainable growth, positive international image, rapid convergence in Europe, inclusion and strengthening areas of high competence, in line with Europe 2020, launched by the

  1. Roadmap for Lean implementation in Indian automotive component manufacturing industry: comparative study of UNIDO Model and ISM Model

    Science.gov (United States)

    Jadhav, J. R.; Mantha, S. S.; Rane, S. B.

    2014-07-01

    The demands for automobiles increased drastically in last two and half decades in India. Many global automobile manufacturers and Tier-1 suppliers have already set up research, development and manufacturing facilities in India. The Indian automotive component industry started implementing Lean practices to fulfill the demand of these customers. United Nations Industrial Development Organization (UNIDO) has taken proactive approach in association with Automotive Component Manufacturers Association of India (ACMA) and the Government of India to assist Indian SMEs in various clusters since 1999 to make them globally competitive. The primary objectives of this research are to study the UNIDO-ACMA Model as well as ISM Model of Lean implementation and validate the ISM Model by comparing with UNIDO-ACMA Model. It also aims at presenting a roadmap for Lean implementation in Indian automotive component industry. This paper is based on secondary data which include the research articles, web articles, doctoral thesis, survey reports and books on automotive industry in the field of Lean, JIT and ISM. ISM Model for Lean practice bundles was developed by authors in consultation with Lean practitioners. The UNIDO-ACMA Model has six stages whereas ISM Model has eight phases for Lean implementation. The ISM-based Lean implementation model is validated through high degree of similarity with UNIDO-ACMA Model. The major contribution of this paper is the proposed ISM Model for sustainable Lean implementation. The ISM-based Lean implementation framework presents greater insight of implementation process at more microlevel as compared to UNIDO-ACMA Model.

  2. Development of Transformations from Business Process Models to Implementations by Reuse

    NARCIS (Netherlands)

    Dirgahayu, Teduh; Quartel, Dick; Sinderen, van Marten

    2007-01-01

    This paper presents an approach for developing transformations from business process models to implementations that facilitates reuse. A transformation is developed as a composition of three smaller tasks: pattern recognition, pattern realization and activity transformation. The approach allows one

  3. Development of transformations from business process models to implementations by reuse

    NARCIS (Netherlands)

    Dirgahayu, Teduh; Quartel, Dick; Sinderen, van Marten; Ferreira Pires, L.; Hammoudi, S.

    2007-01-01

    This paper presents an approach for developing transformations from business process models to implementations that facilitates reuse. A transformation is developed as a composition of three smaller tasks: pattern recognition, pattern realization and activity transformation. The approach allows one

  4. Modelling and implementation of 1-3 piezocomposite side scan sonar array

    CSIR Research Space (South Africa)

    Shatalov, MY

    2005-06-01

    Full Text Available Conference “Underwater Acoustic Measurements: Technologies &Results” Heraklion, Crete, Greece, 28th June – 1st July 2005 MODELLING AND IMPLEMENTATION OF 1-3 PIEZOCOMPOSITE SIDE SCAN SONAR ARRAY Michael Shatalov*, Jeremy Wallis*, Kiri...

  5. A Parallel and Distributed Surrogate Model Implementation for Computational Steering

    KAUST Repository

    Butnaru, Daniel

    2012-06-01

    Understanding the influence of multiple parameters in a complex simulation setting is a difficult task. In the ideal case, the scientist can freely steer such a simulation and is immediately presented with the results for a certain configuration of the input parameters. Such an exploration process is however not possible if the simulation is computationally too expensive. For these cases we present in this paper a scalable computational steering approach utilizing a fast surrogate model as substitute for the time-consuming simulation. The surrogate model we propose is based on the sparse grid technique, and we identify the main computational tasks associated with its evaluation and its extension. We further show how distributed data management combined with the specific use of accelerators allows us to approximate and deliver simulation results to a high-resolution visualization system in real-time. This significantly enhances the steering workflow and facilitates the interactive exploration of large datasets. © 2012 IEEE.

  6. Numerical Implementation of the Hoek-Brown Material Model with Strain Hardening

    DEFF Research Database (Denmark)

    Sørensen, Emil Smed; Clausen, Johan; Damkilde, Lars

    2013-01-01

    A numerical implementation of the Hoek-Brown criterion is presented, which is capable of modeling important aspects of the different post-failure behaviors observed in jointed rock mass. This is done by varying the material parameters based on the accumulated plastic strains. The implementation....... The constitutive model is demonstrated on a simulation of a tunnel excavation and the results are compared with an analytical solution for a tunnel excavation in elastic-brittle rock material....

  7. Object relationship notation (ORN) for database applications enhancing the modeling and implementation of associations

    CERN Document Server

    Ehlmann, Bryon K

    2009-01-01

    Conceptually, a database consists of objects and relationships. Object Relationship Notation (ORN) is a simple notation that more precisely defines relationships by combining UML multiplicities with uniquely defined referential actions. ""Object Relationship Notation (ORN) for Database Applications: Enhancing the Modeling and Implementation of Associations"" shows how ORN can be used in UML class diagrams and database definition languages (DDLs) to better model and implement relationships and thus more productively develop database applications. For the database developer, it presents many exa

  8. Using memristor crossbar structure to implement a novel adaptive real time fuzzy modeling algorithm

    OpenAIRE

    Afrakoti, Iman Esmaili Paeen; Shouraki, Saeed Bagheri; Merrikhbayat, Farnood

    2013-01-01

    Although fuzzy techniques promise fast meanwhile accurate modeling and control abilities for complicated systems, different difficulties have been re-vealed in real situation implementations. Usually there is no escape of it-erative optimization based on crisp domain algorithms. Recently memristor structures appeared promising to implement neural network structures and fuzzy algorithms. In this paper a novel adaptive real-time fuzzy modeling algorithm is proposed which uses active learning me...

  9. Numerical Implementation of the Hoek-Brown Material Model with Strain Hardening

    DEFF Research Database (Denmark)

    Sørensen, Emil Smed; Clausen, Johan; Damkilde, Lars

    2013-01-01

    A numerical implementation of the Hoek-Brown criterion is presented, which is capable of modeling important aspects of the different post-failure behaviors observed in jointed rock mass. This is done by varying the material parameters based on the accumulated plastic strains. The implementation....... The constitutive model is demonstrated on a simulation of a tunnel excavation and the results are compared with an analytical solution for a tunnel excavation in elastic-brittle rock material....

  10. Re-constructible CMM software system modeling and its implementation

    Science.gov (United States)

    Bai, Y. W.; Wei, S. Y.; Yang, X. H.; Liu, S. P.

    2008-12-01

    This paper presents a novel way for the re-constructible CMM software system modeling by taking advantage of a tiered modeling strategy. It consists of four tiers: (1) the bottom layer is the CAD model manager which encapsulates geometric engine and 3D object displaying engine as a COM; (2) the middle is the kernel components which is designed to manage the objects of geometric entity, coordinate system, probe and the system environment parameters etc; (3) the third layer is function modules layer that is used to manage and handle the messages and events of the windows/dialog, menus and toolbars; (4) the top layer is GUI module that is designed to initialize the application with the resource of GUI with the manner of dynamic loading. A set of commercial CMM software, Direct DMIS, has applied the method in a R&D of China National Institute of Measuring and Test Technology (NIMTT). It proves that the developed system can effectively integrate the modules distributed in different layers developed with C++ or C# and the proposed method is feasible.

  11. Implementation of depth-dependent soil concentrations in multimedia mass balance models.

    NARCIS (Netherlands)

    Hollander, A.; Hessels, L.; Voogt, P De; Meent, D. van de

    2004-01-01

    In standard multimedia mass balance models, the soil compartment is modeled as a box with uniform concentrations, which often does not correspond with actual field situations. Therefore, the theoretically expected decrease of soil concentrations with depth was implemented in the multimedia model Sim

  12. Implementation of depth-dependent soil concentrations in multimedia mass balance models

    NARCIS (Netherlands)

    Hollander, A.; Hessels, L.; de Voogt, P.; van de Meent, D.

    2004-01-01

    In standard multimedia mass balance models, the soil compartment is modeled as a box with uniform concentrations, which often does not correspond with actual field situations. Therefore, the theoretically expected decrease of soil concentrations with depth was implemented in the multimedia model Sim

  13. Description and Rationale for the Planning, Monitoring, and Implementation (PMI) Model: Description.

    Science.gov (United States)

    Ford, Valeria A.

    The design of the Planning, Monitoring, and Implementation Model (PMI) and the aspects of the model that make it useful in public schools are the topics of this paper. After the objectives of a program or operation have been identified, the model specifies three additional pieces of information that are needed for an evaluation: inputs, processes,…

  14. Implementation of Structured Inquiry Based Model Learning toward Students' Understanding of Geometry

    Science.gov (United States)

    Salim, Kalbin; Tiawa, Dayang Hjh

    2015-01-01

    The purpose of this study is implementation of a structured inquiry learning model in instruction of geometry. The model used is a model with a quasi-experimental study amounted to two classes of samples selected from the population of the ten classes with cluster random sampling technique. Data collection tool consists of a test item…

  15. The Implementation of Character Education Model Based on Empowerment Theatre for Primary School Students

    Science.gov (United States)

    Anggraini, Purwati; Kusniarti, Tuti

    2016-01-01

    This study aimed at constructing character education model implemented in primary school. The research method was qualitative with five samples in total, comprising primary schools in Malang city/regency and one school as a pilot model. The pilot model was instructed by theatre coach teacher, parents, and school society. The result showed that…

  16. A Conceptual Model to Implement an Interactive and Collaborative Enterprise 2.0

    Directory of Open Access Journals (Sweden)

    Domenico CONSOLI

    2013-01-01

    Full Text Available To implement an interactive and collaborative Enterprise 2.0 it is important to have, inside the company, organizational and technological preconditions. In this model of advanced enterprise, internal workers must collaborate among themselves to communicate with all external subjects of the supply chain for achieving business goals. The implementation process is a critical and complex procedure that requires a strategic plan in the introduction and adoption of the innovation. In this paper the single actions to follow, for the implementation of the new model of business, with all determinant factors and variables, are described.

  17. Digital hardware implementation of a stochastic two-dimensional neuron model.

    Science.gov (United States)

    Grassia, F; Kohno, T; Levi, T

    2017-02-22

    This study explores the feasibility of stochastic neuron simulation in digital systems (FPGA), which realizes an implementation of a two-dimensional neuron model. The stochasticity is added by a source of current noise in the silicon neuron using an Ornstein-Uhlenbeck process. This approach uses digital computation to emulate individual neuron behavior using fixed point arithmetic operation. The neuron model's computations are performed in arithmetic pipelines. It was designed in VHDL language and simulated prior to mapping in the FPGA. The experimental results confirmed the validity of the developed stochastic FPGA implementation, which makes the implementation of the silicon neuron more biologically plausible for future hybrid experiments.

  18. Implementing the Simple Biosphere Model (SiB) in a general circulation model: Methodologies and results

    Science.gov (United States)

    Sato, N.; Sellers, P. J.; Randall, D. A.; Schneider, E. K.; Shukla, J.; Kinter, J. L., III; Hou, Y.-T.; Albertazzi, E.

    1989-01-01

    The Simple Biosphere MOdel (SiB) of Sellers et al., (1986) was designed to simulate the interactions between the Earth's land surface and the atmosphere by treating the vegetation explicitly and relistically, thereby incorporating biophysical controls on the exchanges of radiation, momentum, sensible and latent heat between the two systems. The steps taken to implement SiB in a modified version of the National Meteorological Center's spectral GCM are described. The coupled model (SiB-GCM) was used with a conventional hydrological model (Ctl-GCM) to produce summer and winter simulations. The same GCM was used with a conventional hydrological model (Ctl-GCM) to produce comparable 'control' summer and winter variations. It was found that SiB-GCM produced a more realistic partitioning of energy at the land surface than Ctl-GCM. Generally, SiB-GCM produced more sensible heat flux and less latent heat flux over vegetated land than did Ctl-GCM and this resulted in the development of a much deeper daytime planetary boundary and reduced precipitation rates over the continents in SiB-GCM. In the summer simulation, the 200 mb jet stream and the wind speed at 850 mb were slightly weakened in the SiB-GCM relative to the Ctl-GCM results and equivalent analyses from observations.

  19. A system dynamics evaluation model: implementation of health information exchange for public health reporting.

    Science.gov (United States)

    Merrill, Jacqueline A; Deegan, Michael; Wilson, Rosalind V; Kaushal, Rainu; Fredericks, Kimberly

    2013-06-01

    To evaluate the complex dynamics involved in implementing electronic health information exchange (HIE) for public health reporting at a state health department, and to identify policy implications to inform similar implementations. Qualitative data were collected over 8 months from seven experts at New York State Department of Health who implemented web services and protocols for querying, receipt, and validation of electronic data supplied by regional health information organizations. Extensive project documentation was also collected. During group meetings experts described the implementation process and created reference modes and causal diagrams that the evaluation team used to build a preliminary model. System dynamics modeling techniques were applied iteratively to build causal loop diagrams representing the implementation. The diagrams were validated iteratively by individual experts followed by group review online, and through confirmatory review of documents and artifacts. Three casual loop diagrams captured well-recognized system dynamics: Sliding Goals, Project Rework, and Maturity of Resources. The findings were associated with specific policies that address funding, leadership, ensuring expertise, planning for rework, communication, and timeline management. This evaluation illustrates the value of a qualitative approach to system dynamics modeling. As a tool for strategic thinking on complicated and intense processes, qualitative models can be produced with fewer resources than a full simulation, yet still provide insights that are timely and relevant. System dynamics techniques clarified endogenous and exogenous factors at play in a highly complex technology implementation, which may inform other states engaged in implementing HIE supported by federal Health Information Technology for Economic and Clinical Health (HITECH) legislation.

  20. Development and Implementation of a Program Management Maturity Model

    Energy Technology Data Exchange (ETDEWEB)

    Hartwig, Laura; Smith, Matt

    2008-12-15

    In 2006, Honeywell Federal Manufacturing & Technologies (FM&T) announced an updatedvision statement for the organization. The vision is “To be the most admired team within the NNSA [National Nuclear Security Administration] for our relentless drive to convert ideas into the highest quality products and services for National Security by applying the right technology, outstanding program management and best commercial practices.” The challenge to provide outstanding program management was taken up by the Program Management division and the Program Integration Office (PIO) of the company. This article describes how Honeywell developed and deployed a program management maturity model to drive toward excellence.

  1. Energy consumption model over parallel programs implemented on multicore architectures

    Directory of Open Access Journals (Sweden)

    Ricardo Isidro-Ramirez

    2015-06-01

    Full Text Available In High Performance Computing, energy consump-tion is becoming an important aspect to consider. Due to the high costs that represent energy production in all countries it holds an important role and it seek to find ways to save energy. It is reflected in some efforts to reduce the energy requirements of hardware components and applications. Some options have been appearing in order to scale down energy use and, con-sequently, scale up energy efficiency. One of these strategies is the multithread programming paradigm, whose purpose is to produce parallel programs able to use the full amount of computing resources available in a microprocessor. That energy saving strategy focuses on efficient use of multicore processors that are found in various computing devices, like mobile devices. Actually, as a growing trend, multicore processors are found as part of various specific purpose computers since 2003, from High Performance Computing servers to mobile devices. However, it is not clear how multiprogramming affects energy efficiency. This paper presents an analysis of different types of multicore-based architectures used in computing, and then a valid model is presented. Based on Amdahl’s Law, a model that considers different scenarios of energy use in multicore architectures it is proposed. Some interesting results were found from experiments with the developed algorithm, that it was execute of a parallel and sequential way. A lower limit of energy consumption was found in a type of multicore architecture and this behavior was observed experimentally.

  2. An Algorithm and Implementation Based on an Agricultural EOQ Model

    Directory of Open Access Journals (Sweden)

    Hu Zhineng

    2015-01-01

    Full Text Available With the improvement of living quality, the agricultural supermarket gradually take the place of the farmers market as the trend. But the agricultural supermarkets’ inappropriate inventory strategies are wasteful and inefficient. So this paper will put forward an inventory strategy for the agricultural supermarkets to lead the conductor decides when and how much to shelve the product. This strategy has significant meaning that it can reduce the loss and get more profit. The research methods are based on the inventory theory and the EOQ model, but the authors add multiple cycles’ theory to them because of the agricultural products’ decreasing characteristics. The research procedures are shown as follows. First, the authors do research in the agricultural supermarket to find their real conduction, and then put forward the new strategy in this paper. Second, the authors found out the model. At last, the authors search the specialty agriculture document to find the data such as the loss rate and the fresh parameters, and solve it out by MATLAB. The numerical result proves that the strategy is better than the real conduction in agricultural supermarket, and it also proves the feasibility.

  3. Mesh-free Hamiltonian implementation of two dimensional Darwin model

    Science.gov (United States)

    Siddi, Lorenzo; Lapenta, Giovanni; Gibbon, Paul

    2017-08-01

    A new approach to Darwin or magnetoinductive plasma simulation is presented, which combines a mesh-free field solver with a robust time-integration scheme avoiding numerical divergence errors in the solenoidal field components. The mesh-free formulation employs an efficient parallel Barnes-Hut tree algorithm to speed up the computation of fields summed directly from the particles, avoiding the necessity of divergence cleaning procedures typically required by particle-in-cell methods. The time-integration scheme employs a Hamiltonian formulation of the Lorentz force, circumventing the development of violent numerical instabilities associated with time differentiation of the vector potential. It is shown that a semi-implicit scheme converges rapidly and is robust to further numerical instabilities which can develop from a dominant contribution of the vector potential to the canonical momenta. The model is validated by various static and dynamic benchmark tests, including a simulation of the Weibel-like filamentation instability in beam-plasma interactions.

  4. IMPLEMENTATION OF INTERTIAL NAVIGATION SYSTEM MODEL DURING AIRCRAFT TESTING

    Directory of Open Access Journals (Sweden)

    2016-01-01

    Full Text Available The flight subset control is required during the aviation equipment test flights. In order to achieve this objective the complex consisting of strap down inertial navigation system (SINS and user equipment of satellite navigation systems (SNS can be used. Such combination needs to be used for error correction in positioning which is accumulated in SINS with time. This article shows the research results of the inertial navigation system (INS model. The results of the position- ing error calculation for various INS classes are given. Each of the examined INS has a different accumulated error for the same time lag. The methods of combining information of INS and SRNS are covered. The results obtained can be applied for upgrading the aircraft flight and navigation complexes. In particular, they can allow to continuously determine speed, coordinates, angular situation and repositioning rate of change of axes of the instrument frame.

  5. The R Package threg to Implement Threshold Regression Models

    Directory of Open Access Journals (Sweden)

    Tao Xiao

    2015-08-01

    This new package includes four functions: threg, and the methods hr, predict and plot for threg objects returned by threg. The threg function is the model-fitting function which is used to calculate regression coefficient estimates, asymptotic standard errors and p values. The hr method for threg objects is the hazard-ratio calculation function which provides the estimates of hazard ratios at selected time points for specified scenarios (based on given categories or value settings of covariates. The predict method for threg objects is used for prediction. And the plot method for threg objects provides plots for curves of estimated hazard functions, survival functions and probability density functions of the first-hitting-time; function curves corresponding to different scenarios can be overlaid in the same plot for comparison to give additional research insights.

  6. Modernizing Corporate MIS: from Information System Modelling to Implementation

    CERN Document Server

    Dheur, E; Martens, R; Petrilli, A; Smale, B

    1992-01-01

    This paper presents CERN's Advanced Informatics Support (AIS) project which aims at an innovative modernization of all aspects of informatics applied to the administrative processes of the Laboratory. The project began in August 1990 and is based on a proprietary operating system, relational data base system and scalable multi-processor server hardware. An analysis of the existing applications environment and its weaknesses is given in the introduction. The objectives of the project are then described. A justification of the strategic choices is given in the CERN context. The Information System Study, leading to a global data and function model for the Laboratory and the detailed area analysis of the top priority three areas are then described. An analysis is made of the benefits and disadvantages of the use of Oracle CASE in such a study and the compromises required when commercial applications packages were chosen.

  7. Systematic model for lean product development implementation in an automotive related company

    Directory of Open Access Journals (Sweden)

    Daniel Osezua Aikhuele

    2017-07-01

    Full Text Available Lean product development is a major innovative business strategy that employs sets of practices to achieve an efficient, innovative and a sustainable product development. Despite the many benefits and high hopes in the lean strategy, many companies are still struggling, and unable to either achieve or sustain substantial positive results with their lean implementation efforts. However, as the first step towards addressing this issue, this paper seeks to propose a systematic model that considers the administrative and implementation limitations of lean thinking practices in the product development process. The model which is based on the integration of fuzzy Shannon’s entropy and Modified Technique for Order Preference by Similarity to the Ideal Solution (M-TOPSIS model for the lean product development practices implementation with respective to different criteria including management and leadership, financial capabilities, skills and expertise and organization culture, provides a guide or roadmap for product development managers on the lean implementation route.

  8. A PROPOSAL OF A PROCESS MODEL FOR POSTAL ELECTRONIC SERVICE IMPLEMENTATION

    Directory of Open Access Journals (Sweden)

    Bystrík Nemček

    2015-09-01

    Full Text Available This article is dedicated to one of the main business processes–implementation of the postal electronic service. Theoretical point of view is focused on Business Process Management (BPM describing it as a field in systems engineering that focuses on activity of representing processes of an enterprise, so that the current process may be analyzed or improved. The main aim of the practical point of view was to design a model of postal electronic service implementation. A proposal of model is designed in Business Process Model Notation (BPMN, which is a graphical representation for specifying business processes in a business process model

  9. Implementation of a Fractional Model-Based Fault Detection Algorithm into a PLC Controller

    Science.gov (United States)

    Kopka, Ryszard

    2014-12-01

    This paper presents results related to the implementation of model-based fault detection and diagnosis procedures into a typical PLC controller. To construct the mathematical model and to implement the PID regulator, a non-integer order differential/integral calculation was used. Such an approach allows for more exact control of the process and more precise modelling. This is very crucial in model-based diagnostic methods. The theoretical results were verified on a real object in the form of a supercapacitor connected to a PLC controller by a dedicated electronic circuit controlled directly from the PLC outputs.

  10. Implementation of a capsular bag model to enable sufficient lens stabilization within a mechanical eye model

    Science.gov (United States)

    Bayer, Natascha; Rank, Elisabet; Traxler, Lukas; Beckert, Erik; Drauschke, Andreas

    2015-03-01

    Cataract still remains the leading cause of blindness affecting 20 million people worldwide. To restore the patients vision the natural lens is removed and replaced by an intraocular lens (IOL). In modern cataract surgery the posterior capsular bag is maintained to prevent inflammation and to enable stabilization of the implant. Refractive changes following cataract surgery are attributable to lens misalignments occurring due to postoperative shifts and tilts of the artificial lens. Mechanical eye models allow a preoperative investigation of the impact of such misalignments and are crucial to improve the quality of the patients' sense of sight. Furthermore, the success of sophisticated IOLs that correct high order aberrations is depending on a critical evaluation of the lens position. A new type of an IOL holder is designed and implemented into a preexisting mechanical eye model. A physiological representation of the capsular bag is realized with an integrated film element to guarantee lens stabilization and centering. The positioning sensitivity of the IOL is evaluated by performing shifts and tilts in reference to the optical axis. The modulation transfer function is used to measure the optical quality at each position. Lens stability tests within the holder itself are performed by determining the modulation transfer function before and after measurement sequence. Mechanical stability and reproducible measurement results are guaranteed with the novel capsular bag model that allows a precise interpretation of postoperative lens misalignments. The integrated film element offers additional stabilization during measurement routine without damaging the haptics or deteriorating the optical performance.

  11. The Implementation of Vendor Managed Inventory In the Supply Chain with Simple Probabilistic Inventory Model

    Directory of Open Access Journals (Sweden)

    Anna Ika Deefi

    2016-01-01

    Full Text Available Numerous studies show that the implementation of Vendor Managed Inventory (VMI benefits all members of the supply chain. This research develops model to prove the benefits obtained from implementing VMI to supplier-buyer partnership analytically. The model considers a two-level supply chain which consists of a single supplier and a single buyer. The analytical model is developed to supply chain inventory with probabilistic demand which follows normal distribution. The model also incorporates lead time as a decision variable and investigates the impacts of inventory management before and after the implementation of the VMI. The result shows that the analytical model has the ability to reduce the supply chain expected cost, improve the service level and increase the inventory replenishment. Numerical examples are given to prove them.

  12. Exploring the Process of Implementing Healthy Workplace Initiatives: Mapping to Kotter's Leading Change Model.

    Science.gov (United States)

    Chappell, Stacie; Pescud, Melanie; Waterworth, Pippa; Shilton, Trevor; Roche, Dee; Ledger, Melissa; Slevin, Terry; Rosenberg, Michael

    2016-10-01

    The aim of this study was to use Kotter's leading change model to explore the implementation of workplace health and wellbeing initiatives. Qualitative interviews were conducted with 31 workplace representatives with a healthy workplace initiative. None of the workplaces used a formal change management model when implementing their healthy workplace initiatives. Not all of the steps in Kotter model were considered necessary and the order of the steps was challenged. For example, interviewees perceived that communicating the vision, developing the vision, and creating a guiding coalition were integral parts of the process, although there was less emphasis on the importance of creating a sense of urgency and consolidating change. Although none of the workplaces reported using a formal organizational change model when implementing their healthy workplace initiatives, there did appear to be perceived merit in using the steps in Kotter's model.

  13. Implementation of meso-scale radioactive dispersion model for GPU

    Energy Technology Data Exchange (ETDEWEB)

    Sunarko [National Nuclear Energy Agency of Indonesia (BATAN), Jakarta (Indonesia). Nuclear Energy Assessment Center; Suud, Zaki [Bandung Institute of Technology (ITB), Bandung (Indonesia). Physics Dept.

    2017-05-15

    Lagrangian Particle Dispersion Method (LPDM) is applied to model atmospheric dispersion of radioactive material in a meso-scale of a few tens of kilometers for site study purpose. Empirical relationships are used to determine the dispersion coefficient for various atmospheric stabilities. Diagnostic 3-D wind-field is solved based on data from one meteorological station using mass-conservation principle. Particles representing radioactive pollutant are dispersed in the wind-field as a point source. Time-integrated air concentration is calculated using kernel density estimator (KDE) in the lowest layer of the atmosphere. Parallel code is developed for GTX-660Ti GPU with a total of 1 344 scalar processors using CUDA. A test of 1-hour release discovers that linear speedup is achieved starting at 28 800 particles-per-hour (pph) up to about 20 x at 14 4000 pph. Another test simulating 6-hour release with 36 000 pph resulted in a speedup of about 60 x. Statistical analysis reveals that resulting grid doses are nearly identical in both CPU and GPU versions of the code.

  14. A Model for Providing Guidance Services in Elementary Schools: A Generalist-Preventive Approach. Implemented Model. Maxi II Practicum.

    Science.gov (United States)

    Horne, Sydney B.

    The purpose of this practicum was to develop, implement, and evaluate a model for elementary school guidance at Northwoods Elementary School, if the need for such a model could be demonstrated. The need was demonstrated, the model was developed and tested. Subsequent investigation demonstrated that guidance services were increased as a result of…

  15. Constitutive models based on dislocation density:formulation and implementation into finite element codes

    OpenAIRE

    Domkin, Konstantin

    2005-01-01

    Correct description of the material behaviour is an extra challenge in simulation of the materials processing and manufacturing processes such as metal forming. Material models must account for varying strain, strain rate and temperature, and changing microstructure. This study is devoted to the physically based models of metal plasticity - dislocation density models, their numerical implementation and parameter identification. The basic concepts of dislocation density modelling are introduce...

  16. Finite element implementation of the Hoek-Brown material model with general strain softening behavior

    DEFF Research Database (Denmark)

    Sørensen, Emil Smed; Clausen, Johan Christian; Damkilde, Lars

    2015-01-01

    A numerical implementation of the Hoek–Brown criterion is presented, which is capable of modeling different post-failure behaviors observed in jointed rock mass. This is done by making the material parameters a function of the accumulated plastic strain. The implementation is for use in finite...... element calculations, and is based on the return mapping framework. The updated stress state together with the consistent constitutive matrix is found in principal stress space based on the principles of boundary planes. The implementation is verified through the simulation of a tunnel excavation...

  17. Implementation of the Modified Hoek-Brown Model into the Finite Element Method

    DEFF Research Database (Denmark)

    Sørensen, Emil Smed; Clausen, Johan Christian; Merifield, Richard S.;

    2015-01-01

    The Hoek-Brown model for near-homogeneous rock masses will, in some cases, overpredict the tensile strength of the material. In some cases this can lead to unsafe design of structures. Therefore, a tension cut-off is introduced and the model is implemented into an elasto-plastic framework for use...

  18. On the Implementation of AM/AM AM/PM Behavioral Models in System Level Simulation

    NARCIS (Netherlands)

    Shen, Y.; Tauritz, J.L.

    2003-01-01

    The use of nonlinear device behavioral models offers an economical way of simulating the performance of complex communication systems. A concrete method for implementing the AM/AM AM/PM behavioral model in system level simulation using ADS is developed. This method seamlessly tansfers the data from

  19. Description and Rationale for the Planning, Monitoring, and Implementation (PMI) Model: Rationale.

    Science.gov (United States)

    Cort, H. Russell

    The rationale for the Planning, Monitoring, and Implementation Model (PMI) is the subject of this paper. The Superintendent of the District of Columbia Public Schools requested a model for systematic evaluation of educational programs to determine their effectiveness. The school system's emphasis on objective-referenced instruction and testing,…

  20. Measurement of a model of implementation for health care : toward a testable theory

    NARCIS (Netherlands)

    Cook, Joan M.; O'Donnell, Casey; Dinnen, Stephanie; Coyne, James C.; Ruzek, Josef I.; Schnurr, Paula P.

    2012-01-01

    Background: Greenhalgh et al. used a considerable evidence-base to develop a comprehensive model of implementation of innovations in healthcare organizations [1]. However, these authors did not fully operationalize their model, making it difficult to test formally. The present paper represents a fir

  1. Implementing a New Model for Teachers' Professional Learning in Papua New Guinea

    Science.gov (United States)

    Honan, Eileen; Evans, Terry; Muspratt, Sandy; Paraide, Patricia; Reta, Medi; Baroutsis, Aspa

    2012-01-01

    This article reports on a study that investigates the possibilities of developing a professional learning model based on action research that could lead to sustained improvements in teaching and learning in schools in remote areas of Papua New Guinea. The issues related to the implementation of this model are discussed using a critical lens that…

  2. MATRIX-VBS: implementing an evolving organic aerosol volatility in an aerosol microphysics model

    OpenAIRE

    Gao, Chloe Y.; Tsigaridis, Kostas; Bauer, Susanne E.

    2016-01-01

    We have implemented an existing aerosol microphysics scheme into a box model framework and extended it to represent gas-particle partitioning and chemical ageing of semi-volatile organic aerosols. We then applied this new research tool to investigate the effects of semi-volatile organic species on the growth, composition and mixing state of aerosol particles in case studies representing several different environments. The volatility-basis set (VBS) framework is implemented into the aerosol mi...

  3. FPGA implementation of a biological neural network based on the Hodgkin-Huxley neuron model.

    Science.gov (United States)

    Yaghini Bonabi, Safa; Asgharian, Hassan; Safari, Saeed; Nili Ahmadabadi, Majid

    2014-01-01

    A set of techniques for efficient implementation of Hodgkin-Huxley-based (H-H) model of a neural network on FPGA (Field Programmable Gate Array) is presented. The central implementation challenge is H-H model complexity that puts limits on the network size and on the execution speed. However, basics of the original model cannot be compromised when effect of synaptic specifications on the network behavior is the subject of study. To solve the problem, we used computational techniques such as CORDIC (Coordinate Rotation Digital Computer) algorithm and step-by-step integration in the implementation of arithmetic circuits. In addition, we employed different techniques such as sharing resources to preserve the details of model as well as increasing the network size in addition to keeping the network execution speed close to real time while having high precision. Implementation of a two mini-columns network with 120/30 excitatory/inhibitory neurons is provided to investigate the characteristic of our method in practice. The implementation techniques provide an opportunity to construct large FPGA-based network models to investigate the effect of different neurophysiological mechanisms, like voltage-gated channels and synaptic activities, on the behavior of a neural network in an appropriate execution time. Additional to inherent properties of FPGA, like parallelism and re-configurability, our approach makes the FPGA-based system a proper candidate for study on neural control of cognitive robots and systems as well.

  4. Research of Control Method of Position Sensorless Permanent Magnet Gyro Motor Based on EKF%基于EKF的无位置传感器永磁同步陀螺电机控制方法的研究

    Institute of Scientific and Technical Information of China (English)

    黄晓凡

    2012-01-01

    无位置传感器永磁同步陀螺电机的起动及稳态运行性能取决于伺服控制系统的控制策略.以DSP芯片ADMC300为主控芯片,详细论述了将扩展卡尔曼滤波(EKF)应用于航天陀螺稳定平台中的无位置传感器两相永磁同步陀螺电机系统中的起动及稳态运行控制方法和相关软硬件设计.试验结果表明:相比较传统的利用反电势过零换相控制方法,利用EKF方法可以使电机起动更快,获得转子位置信号更多.%The starting up and steady-state operation performance of positon sensorless permanent magnet gyro motor is determined by the conrol strategy of servo control system. Base on DSP chip( ADMC300) as centre control chip,the article discussed in detail about EKF,which is used in the starting up and steady-slate operation method of positon sensorless two phase permanent magnet gyro motor used in gyro-stabilized platform in aerospace and about the related software and hardware design. The experiment result verified that EKF can make the motor starting up quiker and achieve more rotor position signals compared to what the traditional control method using Back-EMF to achieve phase convert ion can.

  5. Verilog-A implementation of a double-gate junctionless compact model for DC circuit simulations

    Science.gov (United States)

    Alvarado, J.; Flores, P.; Romero, S.; Ávila-Herrera, F.; González, V.; Soto-Cruz, B. S.; Cerdeira, A.

    2016-07-01

    A physically based model of the double-gate juntionless transistor which is capable of describing accumulation and depletion regions is implemented in Verilog-A in order to perform DC circuit simulations. Analytical description of the difference of potentials between the center and the surface of the silicon layer allows the determination of the mobile charges. Furthermore, mobility degradation, series resistance, as well as threshold voltage roll-off, drain saturation voltage, channel shortening and velocity saturation are also considered. In order to provide this model to all of the community, the implementation of this model is performed in Ngspice, which is a free circuit simulation with an ADMS interface to integrate Verilog-A models. Validation of the model implementation is done through 2D numerical simulations of transistors with 1 μ {{m}} and 40 {{nm}} silicon channel length and 1 × 1019 or 5× {10}18 {{{cm}}}-3 doping concentration of the silicon layer with 10 and 15 {{nm}} silicon thickness. Good agreement between the numerical simulated behavior and model implementation is obtained, where only eight model parameters are used.

  6. 基于特征地图的移动机器人EKF-SLAM和FastSLAM算法自主导航研究%The Autonomous Navigation Research of Mobile Robot EKF-SLAM and FastSLAM Algorithm Based on Feature Map

    Institute of Scientific and Technical Information of China (English)

    陶辉; 吴怀宇; 程磊; 杨升

    2010-01-01

    对移动机器人未知环境中自主导航和SLAM(即时定位与构图)问题进行讨论.设计了一种构建2D可视化路标特征地图的方案,该方案结合单目视觉传感器和里程计的鲁棒感知模型,建立包含世界坐标系下三维信息的路标数据库,并获得全局环境下特征地图;提出了一种基于Python平台分析移动机器人自主导航鲁棒性的方法,通过在Python平台下引入扩展模块NumPy、PyLab构建仿真平台,对不同噪声环境下EKF-SLAM(扩展卡尔曼滤波器)和FastSLAM算法的导航过程进行了研究.实验显示了构图方案和仿真平台的可行性.

  7. Computational implementation of the multi-mechanism deformation coupled fracture model for salt

    Energy Technology Data Exchange (ETDEWEB)

    Koteras, J.R.; Munson, D.E.

    1996-05-01

    The Multi-Mechanism Deformation (M-D) model for creep in rock salt has been used in three-dimensional computations for the Waste Isolation Pilot Plant (WIPP), a potential waste, repository. These computational studies are relied upon to make key predictions about long-term behavior of the repository. Recently, the M-D model was extended to include creep-induced damage. The extended model, the Multi-Mechanism Deformation Coupled Fracture (MDCF) model, is considerably more complicated than the M-D model and required a different technology from that of the M-D model for a computational implementation.

  8. Implementation of Electrical Simulation Model for IEC Standard Type-3A Generator

    DEFF Research Database (Denmark)

    Subramanian, Chandrasekaran; Casadei, Domenico; Tani, Angelo

    2013-01-01

    turbine with partial scale power converter WEG including a two mass mechanical model. The generic models for fixed and variable speed WEGs models are suitable for fundamental frequency positive sequence response simulations during short events in the power system such as voltage dips. The wind power......This paper describes the implementation of electrical simulation model for IEC 61400-27-1 standard Type-3A generator. A general overview of the different wind electric generators(WEG) types are given and the main focused on Type-3A WEG standard models, namely a model for a variable speed wind...

  9. Implementing The Automated Phases Of The Partially-Automated Digital Triage Process Model

    Directory of Open Access Journals (Sweden)

    Gary D Cantrell

    2012-12-01

    Full Text Available Digital triage is a pre-digital-forensic phase that sometimes takes place as a way of gathering quick intelligence. Although effort has been undertaken to model the digital forensics process, little has been done to date to model digital triage. This work discuses the further development of a model that does attempt to address digital triage the Partially-automated Crime Specific Digital Triage Process model. The model itself will be presented along with a description of how its automated functionality was implemented to facilitate model testing.

  10. Evaluation model for the implementation results of mine law based on neural network

    Science.gov (United States)

    Gu, Tao; Li, Xu

    2010-04-01

    To evaluate the implementation results of mine safety production law, the evaluation model based on neural network is presented. In this model, 63 indicators which can describe the mine law effectively are proposed. The evaluation system is developed by using the model and the 63 indicators. The evaluation results show that the proposed method has high accuracy. We can effectively estimate the score of one mine for its carrying out the safety law. The estimate results are of scientific credibility and impartiality.

  11. Design and Implementation of 3D Model Data Management System Based on SQL

    Science.gov (United States)

    Li, Shitao; Zhang, Shixin; Zhang, Zhanling; Li, Shiming; Jia, Kun; Hu, Zhongxu; Ping, Liang; Hu, Youming; Li, Yanlei

    CAD/CAM technology plays an increasingly important role in the machinery manufacturing industry. As an important means of production, the accumulated three-dimensional models in many years of design work are valuable. Thus the management of these three-dimensional models is of great significance. This paper gives detailed explanation for a method to design three-dimensional model databases based on SQL and to implement the functions such as insertion, modification, inquiry, preview and so on.

  12. An Efficient Role and Object Based Access Control Model Implemented in a PDM System

    Institute of Scientific and Technical Information of China (English)

    HUANG Xiaowen; TAN Jian; HUANG Xiangguo

    2006-01-01

    An effective and reliable access control is crucial to a PDM system. This article has discussed the commonly used access control models, analyzed their advantages and disadvantages, and proposed a new Role and Object based access control model that suits the particular needs of a PDM system. The new model has been implemented in a commercial PDM system, which has demonstrated enhanced flexibility and convenience.

  13. Models for twistable elastic polymers in Brownian dynamics, and their implementation for LAMMPS

    CERN Document Server

    Brackley, C A; Marenduzzo, D

    2014-01-01

    An elastic rod model for semi-flexible polymers is presented. Theory for a continuum rod is reviewed, and it is shown that a popular discretised model used in numerical simulations gives the correct continuum limit. Correlation functions relating to both bending and twisting of the rod are derived for both continuous and discrete cases, and results are compared with numerical simulations. Finally, two possible implementations of the discretised model in the multi-purpose molecular dynamics software package LAMMPS are described.

  14. BayesDccGarch - An Implementation of Multivariate GARCH DCC Models

    OpenAIRE

    Fioruci, Jose A.; Ehlers, Ricardo S.; Louzada, Francisco

    2014-01-01

    Multivariate GARCH models are important tools to describe the dynamics of multivariate times series of financial returns. Nevertheless, these models have been much less used in practice due to the lack of reliable software. This paper describes the {\\tt R} package {\\bf BayesDccGarch} which was developed to implement recently proposed inference procedures to estimate and compare multivariate GARCH models allowing for asymmetric and heavy tailed distributions.

  15. Improved survival with an ambulatory model of non-invasive ventilation implementation in motor neuron disease.

    Science.gov (United States)

    Sheers, Nicole; Berlowitz, David J; Rautela, Linda; Batchelder, Ian; Hopkinson, Kim; Howard, Mark E

    2014-06-01

    Non-invasive ventilation (NIV) increases survival and quality of life in motor neuron disease (MND). NIV implementation historically occurred during a multi-day inpatient admission at this institution; however, increased demand led to prolonged waiting times. The aim of this study was to evaluate the introduction of an ambulatory model of NIV implementation. A prospective cohort study was performed. Inclusion criteria were referral for NIV implementation six months pre- or post-commencement of the Day Admission model. This model involved a 4-h stay to commence ventilation with follow-up in-laboratory polysomnography titration and outpatient attendance. Outcome measures included waiting time, hospital length of stay, adverse events and polysomnography data. Results indicated that after changing to the Day Admission model the median waiting time fell from 30 to 13.5 days (p Survival was also prolonged (median (IQR) 278 (51-512) days pre- vs 580 (306-1355) days post-introduction of the Day Admission model; hazard ratio 0.41, p = 0.04). Daytime PaCO2 was no different. In conclusion, reduced waiting time to commence ventilation and improved survival were observed following introduction of an ambulatory model of NIV implementation in people with MND, with no change in the effectiveness of ventilation.

  16. OpenSHMEM-UCX : Evaluation of UCX for implementing OpenSHMEM Programming Model

    Energy Technology Data Exchange (ETDEWEB)

    Baker, Matthew B [ORNL; Gorentla Venkata, Manjunath [ORNL; Aderholdt, William Ferrol [ORNL; Shamis, Pavel [ARM Research

    2016-01-01

    The OpenSHMEM reference implementation was developed towards the goal of developing an open source and high-performing Open- SHMEM implementation. To achieve portability and performance across various networks, the OpenSHMEM reference implementation uses GAS- Net and UCCS for network operations. Recently, new network layers have emerged with the promise of providing high-performance, scalabil- ity, and portability for HPC applications. In this paper, we implement the OpenSHMEM reference implementation to use the UCX framework for network operations. Then, we evaluate its performance and scalabil- ity on Cray XK systems to understand UCX s suitability for developing the OpenSHMEM programming model. Further, we develop a bench- mark called SHOMS for evaluating the OpenSHMEM implementation. Our experimental results show that OpenSHMEM-UCX outperforms the vendor supplied OpenSHMEM implementation in most cases on the Cray XK system by up to 40% with respect to message rate and up to 70% for the execution of application kernels.

  17. Implementation of strength and burn models for plastic-bonded explosives and propellants

    Energy Technology Data Exchange (ETDEWEB)

    Reaugh, J E

    2009-05-07

    We have implemented the burn model in LS-DYNA. At present, the damage (porosity and specific surface area) is specified as initial conditions. However, history variables that are used by the strength model are reserved as placeholders for the next major revision, which will be a completely interactive model. We have implemented an improved strength model for explosives based on a model for concrete. The model exhibits peak strength and subsequent strain softening in uniaxial compression. The peak strength increases with increasing strain rate and/or reduced ambient temperature. Under triaxial compression compression, the strength continues to increase (or at least not decrease) with increasing strain. This behaviour is common to both concrete and polymer-bonded explosives (PBX) because the microstructure of these composites is similar. Both have aggregate material with a broad particle size distribution, although the length scale for concrete aggregate is two orders of magnitude larger than for PBX. The (cement or polymer) binder adheres to the aggregate, and is both pressure and rate sensitive. There is a larger bind binder content in concrete, compared to the explosive, and the aggregates have different hardness. As a result we expect the parameter values to differ, but the functional forms to be applicable to both. The models have been fit to data from tests on an AWE explosive that is HMX based. The decision to implement the models in LS-DYNA was based on three factors: LS-DYNA is used routinely by the AWE engineering analysis group and has a broad base of experienced users; models implemented in LS-DYNA can be transferred easily to LLNL's ALE 3D using a material model wrapper developed by Rich Becker; and LS-DYNA could accommodate the model requirements for a significant number of additional history variables without the significant time delay associated with code modification.

  18. THE OPEN INNOVATION MODEL: EXPLAINING THE FACTORS THAT HINDER ITS IMPLEMENTATION IN THE ALBANIAN BANKING SYSTEM

    Directory of Open Access Journals (Sweden)

    Besarta Vladi

    2013-06-01

    Full Text Available The implementation of an open innovation model is considered by many researchers, to be a great opportunity to help profit-making organizations become more competitive and successful. But some sectors, such as the banking sector, are not able to apply this model. In the Albanian banking sector, the concept of an open innovation model is almost unknown to executive directors. The question is: Why does this happen? The implementation of an open innovation model is strongly affected by cost, short term focus, legislative problems, lack of information, and frequently by a lack of interest in cooperation. As a possible solution for this problem, especially during the financial crisis which has impacted Albanian as well as the rest of the world, raising a strong awareness of the importance of this model could be one route to improve the level of competitiveness in the banking sector. 

  19. Finite element implementation of Robinson's unified viscoplastic model and its application to some uniaxial and multiaxial problems

    Science.gov (United States)

    Arya, V. K.; Kaufman, A.

    1989-01-01

    A description of the finite element implementation of Robinson's unified viscoplastic model into the General Purpose Finite Element Program (MARC) is presented. To demonstrate its application, the implementation is applied to some uniaxial and multiaxial problems. A comparison of the results for the multiaxial problem of a thick internally pressurized cylinder, obtained using the finite element implementation and an analytical solution, is also presented. The excellent agreement obtained confirms the correct finite element implementation of Robinson's model.

  20. Health care managers' views on and approaches to implementing models for improving care processes.

    Science.gov (United States)

    Andreasson, Jörgen; Eriksson, Andrea; Dellve, Lotta

    2016-03-01

    To develop a deeper understanding of health-care managers' views on and approaches to the implementation of models for improving care processes. In health care, there are difficulties in implementing models for improving care processes that have been decided on by upper management. Leadership approaches to this implementation can affect the outcome. In-depth interviews with first- and second-line managers in Swedish hospitals were conducted and analysed using grounded theory. 'Coaching for participation' emerged as a central theme for managers in handling top-down initiated process development. The vertical approach in this coaching addresses how managers attempt to sustain unit integrity through adapting and translating orders from top management. The horizontal approach in the coaching refers to managers' strategies for motivating and engaging their employees in implementation work. Implementation models for improving care processes require a coaching leadership built on close manager-employee interaction, mindfulness regarding the pace of change at the unit level, managers with the competence to share responsibility with their teams and engaged employees with the competence to share responsibility for improving the care processes, and organisational structures that support process-oriented work. Implications for nursing management are the importance of giving nurse managers knowledge of change management. © 2015 John Wiley & Sons Ltd.

  1. Implementation of an Integrated Thermal Building Model for Investigations of Heat Flows

    Directory of Open Access Journals (Sweden)

    Morozov Maxim N.

    2017-01-01

    Full Text Available A model of the building heating system, consisting of energy source, a distributed automatic control system, elements of individual heating unit and heating system is designed. Application Simulink of mathematical package Matlab is selected as a platform for the model. There are the specialized application Simscape libraries in aggregate with a wide range of Matlab mathematical tools allow to apply the “acausal” modeling concept. Implementation the “physical” representation of the object model gave improving the accuracy of the models.

  2. Implementation of an inter-agency transition model for youth with spina bifida.

    Science.gov (United States)

    Lindsay, S; Cruickshank, H; McPherson, A C; Maxwell, J

    2016-03-01

    To address gaps in transfer of care and transition support, a paediatric hospital and adult community health care centre partnered to implement an inter-agency transition model for youth with spina bifida. Our objective was to understand the enablers and challenges experienced in the implementation of the model. Using a descriptive, qualitative design, we conducted semi-structured interviews, in-person or over the phone, with 12 clinicians and nine key informants involved in implementing the spina bifida transition model. We recruited all 21 participants from an urban area of Ontario, Canada. Clinicians and key informants experienced several enablers and challenges in implementing the spina bifida transition model. Enablers included dedicated leadership, advocacy, funding, inter-agency partnerships, cross-appointed staff and gaps in co-ordinated care to connect youth to adult services. Challenges included gaps in the availability of adult specialty services, limited geographical catchment of adult services, limited engagement of front-line staff, gaps in communication and role clarity. Although the transition model has realized some initial successes, there are still many challenges to overcome in transferring youth with spina bifida to adult health care and transitioning to adulthood. © 2015 John Wiley & Sons Ltd.

  3. An Analogue VLSI Implementation of the Meddis Inner Hair Cell Model

    Directory of Open Access Journals (Sweden)

    McEwan Alistair

    2003-01-01

    Full Text Available The Meddis inner hair cell model is a widely accepted, but computationally intensive computer model of mammalian inner hair cell function. We have produced an analogue VLSI implementation of this model that operates in real time in the current domain by using translinear and log-domain circuits. The circuit has been fabricated on a chip and tested against the Meddis model for (a rate level functions for onset and steady-state response, (b recovery after masking, (c additivity, (d two-component adaptation, (e phase locking, (f recovery of spontaneous activity, and (g computational efficiency. The advantage of this circuit, over other electronic inner hair cell models, is its nearly exact implementation of the Meddis model which can be tuned to behave similarly to the biological inner hair cell. This has important implications on our ability to simulate the auditory system in real time. Furthermore, the technique of mapping a mathematical model of first-order differential equations to a circuit of log-domain filters allows us to implement real-time neuromorphic signal processors for a host of models using the same approach.

  4. The dynamical analysis of modified two-compartment neuron model and FPGA implementation

    Science.gov (United States)

    Lin, Qianjin; Wang, Jiang; Yang, Shuangming; Yi, Guosheng; Deng, Bin; Wei, Xile; Yu, Haitao

    2017-10-01

    The complexity of neural models is increasing with the investigation of larger biological neural network, more various ionic channels and more detailed morphologies, and the implementation of biological neural network is a task with huge computational complexity and power consumption. This paper presents an efficient digital design using piecewise linearization on field programmable gate array (FPGA), to succinctly implement the reduced two-compartment model which retains essential features of more complicated models. The design proposes an approximate neuron model which is composed of a set of piecewise linear equations, and it can reproduce different dynamical behaviors to depict the mechanisms of a single neuron model. The consistency of hardware implementation is verified in terms of dynamical behaviors and bifurcation analysis, and the simulation results including varied ion channel characteristics coincide with the biological neuron model with a high accuracy. Hardware synthesis on FPGA demonstrates that the proposed model has reliable performance and lower hardware resource compared with the original two-compartment model. These investigations are conducive to scalability of biological neural network in reconfigurable large-scale neuromorphic system.

  5. Using Bayesian statistics for modeling PTSD through Latent Growth Mixture Modeling: implementation and discussion

    Directory of Open Access Journals (Sweden)

    Sarah Depaoli

    2015-03-01

    Bayesian results to illustrate how to check the impact of the prior knowledge integrated into the model. Conclusions: We conclude with recommendations and guidelines for researchers looking to implement theory-driven LGMM, and we tailor this discussion to the context of PTSD research.

  6. Tire material parametric identification of mining dump trucks based on EKF-BP%基于E KF-B P网络的矿用自卸车轮胎材料参数辨识

    Institute of Scientific and Technical Information of China (English)

    张菲菲; 谷正气; 张沙; 马骁; 朱一帆

    2016-01-01

    Tire material parameters are very important to tire finite element model,but tire materials are many and their structure is complex,so tire material parameters are difficult to acquire.The method using BP neural network optimized with the extend kalman filter (EKF)to identify tire parameters was proposed.The dynamic simulation of tire impulse condition was simulated based on tire finite element model,The tire vertical acceleration obtained with simulation was regarded as an ideal input sample of a BP neural network,and the tire material parameters needed to identify were regarded as ideal output samples of the BP neural network,then the nonlinear mapping network model between them was built with network trainings.The tire vertical acceleration test data were denoised with wavelet and inputted into the trained network,then the tire material parameters were identified effectively.Through comparing simulation data with the tested ones under corresponding conditions,it was shown that the biggest error is 6.45%;the correctness of vertical characteristics of tire finite element model based on identification of material parameters is verified.%轮胎材料参数对轮胎有限元模型至关重要,但轮胎材料多,结构复杂,导致轮胎材料参数难以获取,对此提出利用扩展卡尔曼(EKF)优化的BP神经网络辨识轮胎材料参数的方法。基于轮胎有限元模型,模拟了轮胎脉冲工况动态仿真,将仿真得到的轮胎垂向加速度作为网络理想输入样本,将需要辨识的轮胎材料参数作为网络理想输出样本,通过网络训练,建立两者之间的非线性映射网络模型。将经过小波去噪的轮胎垂向加速度试验数据输入训练好的网络,有效辨识出了轮胎材料参数。通过材料参数辨识的轮胎模型在相应工况下的仿真数据与试验数据的对比,显示两者最大误差为6.45%,证明了基于材料参数辨识的轮胎有限元模型垂向特性的准确性。

  7. Model based SOC estimation for high-power Li-ion battery packs used on FCHVs

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A model based method which recruited the extended Kalman filter (EKF) to estimate the full state of charge (SOC) of Li-ion battery was proposed. The underlying dynamic behavior of the cell pack was described based on an equivalent circuit comprising of two capacitors and three resistors. Measurements in two tests were applied to compare the SOC estimated by model based EKF estimation with the SOC calculated by coulomb counting. Results have shown that the proposed method is able to perform a good estimation of the SOC of battery packs. Moreover, a corresponding battery management systems (BMS) including software and hardware based on this method was designed.

  8. Modeling the leadership attributes of top management in green innovation implementation

    Science.gov (United States)

    Ishak, Noormaizatul Akmar; Ramli, Mohammad Fadzli

    2015-05-01

    The implementation of green innovation in the companies is the interest of the governments all over the world. This has been the main focus of the Copenhagen Protocol and Kyoto Protocol that require all governments to preserve the nature through green initiatives. This paper proposes a mathematical model on the leadership attributes of the top management in ensuring green innovation implementation in their companies' strategies to reduce operational cost. With green innovation implementation in the Government-Linked Companies (GLCs), we identify the leadership attributes are tied up to the leadership style of the top managers in the companies. Through this model we have proved that green type leadership always contributes better in cost saving, therefore it is a more efficient leadership attribute for the GLCs especially.

  9. The implementation of an improved NPML absorbing boundary condition in elastic wave modeling

    Institute of Scientific and Technical Information of China (English)

    Qin Zhen; Lu Minghui; Zheng Xiaodong; Yao Yao; Zhang Cai; Song Jianyong

    2009-01-01

    In elastic wave forward modeling, absorbing boundary conditions (ABC) are used to mitigate undesired reflections from the model truncation boundaries. The perfectly matched layer (PML) has proved to be the best available ABC. However, the traditional splitting PML (SPML) ABC has some serious disadvantages: for example, global SPML ABCs require much more computing memory, although the implementation is easy. The implementation of local SPML ABCs also has some difficulties, since edges and comers must be considered. The traditional non-splitting perfectly matched layer (NPML) ABC has complex computation because of the convolution. In this paper, based on non-splitting perfectly matched layer (NPML) ABCs combined with the complex frequency-shifted stretching function (CFS), we introduce a novel numerical implementation method for PML absorbing boundary conditions with simple calculation equations, small memory requirement, and easy programming.

  10. Implementation of unused production factors in agriculture by means of dynamic optimization models with random constraints

    Directory of Open Access Journals (Sweden)

    Jadwiga Zaród

    2011-01-01

    Full Text Available The farms of Western Pomerania province possess a large surplus of manpower. The dynamic optimization models with random constraints served the investigation of the possibilities of implementation of the unused man-hours. Those models regarded four successive years 2003-2006. The solution proceeded in two steps. The first step let us construct the assumption of the surplus or the deficiency of production factors. In the next step additional variables regarding the lease of arable grounds were introduced while the unused man-hours were implemented with various probability. The optimal solutions indicated the area of particular crops, the quantity of livestock and the farm income dependent on the use of the existing employment. This study aims at the presentation of the possibility of implementation of unused man-hours in farms dealing solely with the crop production and also the production of crop and livestock.

  11. Implementation of Lumped Plasticity Models and Developments in an Object Oriented Nonlinear Finite Element Code

    Science.gov (United States)

    Segura, Christopher L.

    Numerical simulation tools capable of modeling nonlinear material and geometric behavior are important to structural engineers concerned with approximating the strength and deformation capacity of a structure. While structures are typically designed to behave linear elastic when subjected to building code design loads, exceedance of the linear elastic range is often an important consideration, especially with regards to structural response during hazard level events (i.e. earthquakes, hurricanes, floods), where collapse prevention is the primary goal. This thesis addresses developments made to Mercury, a nonlinear finite element program developed in MATLAB for numerical simulation and in C++ for real time hybrid simulation. Developments include the addition of three new constitutive models to extend Mercury's lumped plasticity modeling capabilities, a constitutive driver tool for testing and implementing Mercury constitutive models, and Mercury pre and post-processing tools. Mercury has been developed as a tool for transient analysis of distributed plasticity models, offering accurate nonlinear results on the material level, element level, and structural level. When only structural level response is desired (collapse prevention), obtaining material level results leads to unnecessarily lengthy computational time. To address this issue in Mercury, lumped plasticity capabilities are developed by implementing two lumped plasticity flexural response constitutive models and a column shear failure constitutive model. The models are chosen for implementation to address two critical issues evident in structural testing: column shear failure and strength and stiffness degradation under reverse cyclic loading. These tools make it possible to model post-peak behavior, capture strength and stiffness degradation, and predict global collapse. During the implementation process, a need was identified to create a simple program, separate from Mercury, to simplify the process of

  12. Numerical implementation of a crystal plasticity model with dislocation transport for high strain rate applications

    Science.gov (United States)

    Mayeur, Jason R.; Mourad, Hashem M.; Luscher, Darby J.; Hunter, Abigail; Kenamond, Mark A.

    2016-05-01

    This paper details a numerical implementation of a single crystal plasticity model with dislocation transport for high strain rate applications. Our primary motivation for developing the model is to study the influence of dislocation transport and conservation on the mesoscale response of metallic crystals under extreme thermo-mechanical loading conditions (e.g. shocks). To this end we have developed a single crystal plasticity theory (Luscher et al (2015)) that incorporates finite deformation kinematics, internal stress fields caused by the presence of geometrically necessary dislocation gradients, advection equations to model dislocation density transport and conservation, and constitutive equations appropriate for shock loading (equation of state, drag-limited dislocation velocity, etc). In the following, we outline a coupled finite element-finite volume framework for implementing the model physics, and demonstrate its capabilities in simulating the response of a [1 0 0] copper single crystal during a plate impact test. Additionally, we explore the effect of varying certain model parameters (e.g. mesh density, finite volume update scheme) on the simulation results. Our results demonstrate that the model performs as intended and establishes a baseline of understanding that can be leveraged as we extend the model to incorporate additional and/or refined physics and move toward a multi-dimensional implementation.

  13. Implementation and verification of interface constitutive model in FLAC3D

    Directory of Open Access Journals (Sweden)

    Hai-min WU

    2011-09-01

    Full Text Available Due to the complexity of soil-structure interaction, simple constitutive models typically used for interface elements in general computer programs cannot satisfy the requirements of discontinuous deformation analysis of structures that contain different interfaces. In order to simulate the strain-softening characteristics of interfaces, a nonlinear strain-softening interface constitutive model was incorporated into fast Lagrange analysis of continua in three dimensions (FLAC3D through a user-defined program in the FISH environment. A numerical simulation of a direct shear test for geosynthetic interfaces was conducted to verify that the interface model was implemented correctly. Results of the numerical tests show good agreement with the results obtained from theoretical calculations, indicating that the model incorporated into FLAC3D can simulate the nonlinear strain-softening behavior of interfaces involving geosynthetic materials. The results confirmed the validity and reliability of the improved interface model. The procedure and method of implementing an interface constitutive model into a commercial computer program also provide a reference for implementation of a new interface constitutive model in FLAC3D.

  14. Stereo vision for planetary rovers - Stochastic modeling to near real-time implementation

    Science.gov (United States)

    Matthies, Larry

    1991-01-01

    JPL has achieved the first autonomous cross-country robotic traverses to use stereo vision, with all computing onboard the vehicle. This paper describes the stereo vision system, including the underlying statistical model and the details of the implementation. It is argued that the overall approach provides a unifying paradigm for practical domain-independent stereo ranging.

  15. Modeling and control of isolated full bridge boost DC-DC converter implemented in FPGA

    DEFF Research Database (Denmark)

    Taeed, Fazel; Nymand, M.

    2013-01-01

    design are discussed. In the next step a digital PI controller is designed and implemented in a FPGA to control the output voltage. Using the injection transformer method the open loop transfer function in closed loop is measured and modeling results are verified by experimental results. © 2013 IEEE....

  16. An Evaluation of Video Modeling with Embedded Instructions to Teach Implementation of Stimulus Preference Assessments

    Science.gov (United States)

    Rosales, Rocío; Gongola, Leah; Homlitas, Christa

    2015-01-01

    A multiple baseline design across participants was used to evaluate the effects of video modeling with embedded instructions on training teachers to implement 3 preference assessments. Each assessment was conducted with a confederate learner or a child with autism during generalization probes. All teachers met the predetermined mastery criterion,…

  17. The Effects of Video Modeling with Voiceover Instruction on Accurate Implementation of Discrete-Trial Instruction

    Science.gov (United States)

    Vladescu, Jason C.; Carroll, Regina; Paden, Amber; Kodak, Tiffany M.

    2012-01-01

    The present study replicates and extends previous research on the use of video modeling (VM) with voiceover instruction to train staff to implement discrete-trial instruction (DTI). After staff trainees reached the mastery criterion when teaching an adult confederate with VM, they taught a child with a developmental disability using DTI. The…

  18. Evaluation of an Implementation Model : A National Investigation of VA Residential Programs

    NARCIS (Netherlands)

    Cook, Joan M.; Dinnen, Stephanie; Coyne, James C.; Thompson, Richard; Simiola, Vanessa; Ruzek, Josef; Schnurr, Paula P.

    2015-01-01

    This national investigation utilizes qualitative data to evaluate an implementation model regarding factors influencing provider use of two evidence-based treatments for posttraumatic stress disorder (PTSD). Semi-structured qualitative interviews with 198 mental health providers from 38 Department o

  19. Application of the PMI Model at the System Level: Evaluation of a Systemwide Program Implementation.

    Science.gov (United States)

    Cobb, Herman, Jr.

    A practical application of the Planning, Monitoring, and Implementation Model (PMI) is illustrated in the evaluation of the District of Columbia Public Schools' Student Progress Plan. The plan adheres to the principle that the student be encouraged to move along an instructional continuum at his or her individual rate. The Division of Research and…

  20. Implementing a Service Learning Model for Teaching Research Methods and Program Evaluation

    Science.gov (United States)

    Shannon, Patrick; Kim, Wooksoo; Robinson, Adjoa

    2012-01-01

    In an effort to teach students the basic knowledge of research methods and the realities of conducting research in the context of agencies in the community, faculty developed and implemented a service learning model for teaching research and program evaluation to foundation-year MSW students. A year-long foundation course was designed in which one…

  1. Implementability of Instructional Supervision as a Contemporary Educational Supervision Model in Turkish Education System

    OpenAIRE

    2012-01-01

    In this study, implementability of instructional supervision as one of contemporary educational supervision models in Turkish Education System was evaluated. Instructional supervision which aims to develop instructional processes and increase the quality of student learning based on observation of classroom activities requires collaboration among supervisors and teachers. In this literature review, significant problems have been detected due to structural organization, structural and control-...

  2. Implementation of the critical points model in a SFM-FDTD code working in oblique incidence

    Energy Technology Data Exchange (ETDEWEB)

    Hamidi, M; Belkhir, A; Lamrous, O [Laboratoire de Physique et Chimie Quantique, Universite Mouloud Mammeri, Tizi-Ouzou (Algeria); Baida, F I, E-mail: omarlamrous@mail.ummto.dz [Departement d' Optique P.M. Duffieux, Institut FEMTO-ST UMR 6174 CNRS Universite de Franche-Comte, 25030 Besancon Cedex (France)

    2011-06-22

    We describe the implementation of the critical points model in a finite-difference-time-domain code working in oblique incidence and dealing with dispersive media through the split field method. Some tests are presented to validate our code in addition to an application devoted to plasmon resonance of a gold nanoparticles grating.

  3. Evaluation of an Implementation Model : A National Investigation of VA Residential Programs

    NARCIS (Netherlands)

    Cook, Joan M.; Dinnen, Stephanie; Coyne, James C.; Thompson, Richard; Simiola, Vanessa; Ruzek, Josef; Schnurr, Paula P.

    2015-01-01

    This national investigation utilizes qualitative data to evaluate an implementation model regarding factors influencing provider use of two evidence-based treatments for posttraumatic stress disorder (PTSD). Semi-structured qualitative interviews with 198 mental health providers from 38 Department o

  4. Implementing a Flipped Instructional Model in College Algebra: Profiles of Student Activity

    Science.gov (United States)

    Lesseig, Kristin; Krouss, Paul

    2017-01-01

    Flipped instruction is increasing in popularity, however research that moves beyond descriptions of its implementation in mathematics classes is lacking. We sought to better understand how students taking an introductory college algebra course used the resources provided within a flipped instructional model and how students viewed such resources…

  5. The Influence of Professional Development on Teachers' Implementation of the Teaching Personal and Social Responsibility Model

    Science.gov (United States)

    Lee, Okseon; Choi, Euichang

    2015-01-01

    The purpose of this study was to examine the influence of a professional development (PD) program on teachers' implementation of the Teaching Personal and Social Responsibility (TPSR) model, and to identify the characteristics of PD that influence teaching practice. The participants were six elementary school teachers and 12 students, and the data…

  6. Implementing a Service Learning Model for Teaching Research Methods and Program Evaluation

    Science.gov (United States)

    Shannon, Patrick; Kim, Wooksoo; Robinson, Adjoa

    2012-01-01

    In an effort to teach students the basic knowledge of research methods and the realities of conducting research in the context of agencies in the community, faculty developed and implemented a service learning model for teaching research and program evaluation to foundation-year MSW students. A year-long foundation course was designed in which one…

  7. Implementation (II) of the numerical shallow water wave hindcast model HISWA

    NARCIS (Netherlands)

    Herbers, T.H.C.; Booij, N.; Holthuijsen, L.H.

    1984-01-01

    Development of a two-dimensional model to hindcast spectral wave parameters in an estuary with tidal flats on the basis of bottomtopography, current and wind data. Diffraction-like propagation has been implemented and tested. Tests indicate that this type of propagation cannot.be used for most appli

  8. Value Added Models and the Implementation of the National Standards of K-12 Physical Education

    Science.gov (United States)

    Seymour, Clancy M.; Garrison, Mark J.

    2017-01-01

    The implementation of value-added models of teacher evaluation continue to expand in public education, but the effects of using student test scores to evaluate K-12 physical educators necessitates further discussion. Using the five National Standards for K-12 Physical Education from the Society of Health and Physical Educators America (SHAPE),…

  9. An Evaluation of Video Modeling with Embedded Instructions to Teach Implementation of Stimulus Preference Assessments

    Science.gov (United States)

    Rosales, Rocío; Gongola, Leah; Homlitas, Christa

    2015-01-01

    A multiple baseline design across participants was used to evaluate the effects of video modeling with embedded instructions on training teachers to implement 3 preference assessments. Each assessment was conducted with a confederate learner or a child with autism during generalization probes. All teachers met the predetermined mastery criterion,…

  10. Using Appreciative Inquiry to Facilitate Implementation of the Recovery Model in Mental Health Agencies

    Science.gov (United States)

    Clossey, Laurene; Mehnert, Kevin; Silva, Sara

    2011-01-01

    This article describes an organizational development tool called appreciative inquiry (AI) and its use in mental health to aid agencies implementing recovery model services. AI is a discursive tool with the power to shift dominant organizational cultures. Its philosophical underpinnings emphasize values consistent with recovery: community,…

  11. The Influence of Professional Development on Teachers' Implementation of the Teaching Personal and Social Responsibility Model

    Science.gov (United States)

    Lee, Okseon; Choi, Euichang

    2015-01-01

    The purpose of this study was to examine the influence of a professional development (PD) program on teachers' implementation of the Teaching Personal and Social Responsibility (TPSR) model, and to identify the characteristics of PD that influence teaching practice. The participants were six elementary school teachers and 12 students, and the data…

  12. Effect of different implementations of the same ice history in GIA modeling

    DEFF Research Database (Denmark)

    Barletta, Valentina Roberta; Bordoni, Andrea

    2013-01-01

    This study shows the effect of changing the way ice histories are implemented in Glacial Isostatic Adjustment (GIA) codes to solve the sea level equation. The ice history models are being constantly improved and are provided in different formats. The overall algorithmic design of the sea......-level histories, particularly close to the deglaciation areas, like Antarctica....

  13. Implementation of the Human Talent Management through Competencies Model in a University in Metropolitan Lima

    Science.gov (United States)

    Rodríguez, Juan C.

    2015-01-01

    This article is a work proposal that aims to describe the methodology proposed by the Management of Personnel Management from a university in Lima, to implement a management model based on competencies which traceability involves various technical HR processes practiced in the organization and is aligned to institutional outcomes defined in the…

  14. Examining the Factors That Contribute to Successful Database Application Implementation Using the Technology Acceptance Model

    Science.gov (United States)

    Nworji, Alexander O.

    2013-01-01

    Most organizations spend millions of dollars due to the impact of improperly implemented database application systems as evidenced by poor data quality problems. The purpose of this quantitative study was to use, and extend, the technology acceptance model (TAM) to assess the impact of information quality and technical quality factors on database…

  15. Implementing Marzano's Model: The Reality of Educational Leadership and School Reform

    Science.gov (United States)

    Keaveny, Stacy M.

    2013-01-01

    Federal and state guidelines for school reform dominate the landscape of public education. Florida and its school districts, as a Race to the Top state, are in the process of fully implementing a value-added model of teacher evaluation. Effective school leaders are calling upon the theoretical framework of transformational, visionary and…

  16. The AAM-API: An Open Source Active Appearance Model Implementation

    DEFF Research Database (Denmark)

    Stegmann, Mikkel Bille

    2003-01-01

    This paper presents a public domain implementation of the Active Appearance Model framework and gives examples using it for segmentation and analysis of medical images. The software is open source, designed with efficiency in mind, and has been thoroughly tested and evaluated in several medical a...

  17. Implementation of model predictive control for resistive wall mode stabilization on EXTRAP T2R

    Science.gov (United States)

    Setiadi, A. C.; Brunsell, P. R.; Frassinetti, L.

    2015-10-01

    A model predictive control (MPC) method for stabilization of the resistive wall mode (RWM) in the EXTRAP T2R reversed-field pinch is presented. The system identification technique is used to obtain a linearized empirical model of EXTRAP T2R. MPC employs the model for prediction and computes optimal control inputs that satisfy performance criterion. The use of a linearized form of the model allows for compact formulation of MPC, implemented on a millisecond timescale, that can be used for real-time control. The design allows the user to arbitrarily suppress any selected Fourier mode. The experimental results from EXTRAP T2R show that the designed and implemented MPC successfully stabilizes the RWM.

  18. Implementation of empirical-mathematical modelling in upper secondary physics: Teachers’ interpretations and considerations

    Directory of Open Access Journals (Sweden)

    Carl Angell

    2008-11-01

    Full Text Available This paper reports on the implementation of an upper secondary physics curriculum with an empirical-mathematical modelling approach. In project PHYS 21, we used the notion of multiple representations of physical phenomena as a framework for developing modelling activities for students. Interviews with project teachers indicate that implementation of empirical-mathematical modelling varied widely among classes. The new curriculum ideas were adapted to teachers’ ways of doing andreflecting on teaching and learning rather than radically changing these. Modelling was taken up as a method for reaching the traditional content goals of physics teaching, whereas goals related to process skills and the nature of science were given a lower priority by the teachers. Our results indicate that more attention needs to be focused on teachers’ and students’ meta-understanding of physics and physics learning.

  19. Implementing integrated models of care: the importance of the macro-level context.

    Science.gov (United States)

    Ashton, Toni

    2015-01-01

    Reports of how different countries are responding to the need to develop more integrated health and social care services for older adults can provide useful lessons for other health systems. However an understanding of how the wider structural, political, economic and cultural context affects implementation of these models of care is essential when considering the potential for models to be scaled up or transferred to other jurisdictions.

  20. A Conceptual Model for Production Leveling (Heijunka) Implementation in Batch Production Systems

    OpenAIRE

    De Araujo, Luciano Fonseca; De Queiroz, Abelardo Alves

    2010-01-01

    International audience; This paper explains an implementation model for a new method for Production Leveling designed for batch production system. The main structure of this model is grounded on three constructs: traditional framework for Operations Planning, Lean Manufacturing concepts for Production Leveling and case study guidelines. By combining the first and second construct, a framework for Production Leveling has been developed for batch production systems. Then, case study guidelines ...

  1. Comprehensive and Macrospin-Based Magnetic Tunnel Junction Spin Torque Oscillator Model- Part II: Verilog-A Model Implementation

    Science.gov (United States)

    Chen, Tingsu; Eklund, Anders; Iacocca, Ezio; Rodriguez, Saul; Malm, B. Gunnar; Akerman, Johan; Rusu, Ana

    2015-03-01

    The rapid development of the magnetic tunnel junction (MTJ) spin torque oscillator (STO) technology demands an analytical model to enable building MTJ STO-based circuits and systems so as to evaluate and utilize MTJ STOs in various applications. In Part I of this paper, an analytical model based on the macrospin approximation, has been introduced and verified by comparing it with the measurements of three different MTJ STOs. In Part II, the full Verilog-A implementation of the proposed model is presented. To achieve a reliable model, an approach to reproduce the phase noise generated by the MTJ STO has been proposed and successfully employed. The implemented model yields a time domain signal, which retains the characteristics of operating frequency, linewidth, oscillation amplitude and DC operating point, with respect to the magnetic field and applied DC current. The Verilog-A implementation is verified against the analytical model, providing equivalent device characteristics for the full range of biasing conditions. Furthermore, a system that includes an MTJ STO and CMOS RF circuits is simulated to validate the proposed model for system- and circuit-level designs. The simulation results demonstrate that the proposed model opens the possibility to explore STO technology in a wide range of applications.

  2. Implementation of IEC Generic Model Type 1 Wind Turbine Generators using RTDS

    DEFF Research Database (Denmark)

    Cha, Seung-Tae; Wu, Qiuwei; Zhao, Haoran

    are useful tools to evaluate the impact of the wind power on the power system stability. Thus, a strong stimulus exists for the development of a generic dynamic model in order to further investigate the dynamic response of WTG under grid disturbances. This paper presents the implementation of the IEC generic...... Type 1A and 1B WTG models in the real time digital simulator (RTDS) environment. Case studies have been carried out to verify the performance of the IEC generic Type 1 WTG model under both steady state and dynamic conditions. The case study results show that the IEC generic Type 1 WTG model can...

  3. A Dynamic Object Behavior Model and Implementation Based on Computational Reflection

    Institute of Scientific and Technical Information of China (English)

    HE Cheng-wan; HE Fei; HE Ke-qing

    2005-01-01

    A dynamic object behavior model based on computational reflection is proposed. This model consists of function level and meta level, the meta objects in meta level manage the base objects and behaviors in function level, including dynamic binding and unbinding of base object and behavior.We implement this model with RoleJava Language, which is our self linguistic extension of the Java Language. Meta Objects are generated automatically at compile-time, this makes the reflecton mechanism transparent to programmers. Finally an example applying this model to a banking system is presented.

  4. Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation

    Directory of Open Access Journals (Sweden)

    Gianola Daniel

    2007-09-01

    Full Text Available Abstract Multivariate linear models are increasingly important in quantitative genetics. In high dimensional specifications, factor analysis (FA may provide an avenue for structuring (covariance matrices, thus reducing the number of parameters needed for describing (codispersion. We describe how FA can be used to model genetic effects in the context of a multivariate linear mixed model. An orthogonal common factor structure is used to model genetic effects under Gaussian assumption, so that the marginal likelihood is multivariate normal with a structured genetic (covariance matrix. Under standard prior assumptions, all fully conditional distributions have closed form, and samples from the joint posterior distribution can be obtained via Gibbs sampling. The model and the algorithm developed for its Bayesian implementation were used to describe five repeated records of milk yield in dairy cattle, and a one common FA model was compared with a standard multiple trait model. The Bayesian Information Criterion favored the FA model.

  5. Implementation of New Process Models for Tailored Polymer Composite Structures into Processing Software Packages

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen, Ba Nghiep; Jin, Xiaoshi; Wang, Jin; Phelps, Jay; Tucker III, Charles L.; Kunc, Vlastimil; Bapanapalli, Satish K.; Smith, Mark T.

    2010-02-23

    This report describes the work conducted under the Cooperative Research and Development Agreement (CRADA) (Nr. 260) between the Pacific Northwest National Laboratory (PNNL) and Autodesk, Inc. to develop and implement process models for injection-molded long-fiber thermoplastics (LFTs) in processing software packages. The structure of this report is organized as follows. After the Introduction Section (Section 1), Section 2 summarizes the current fiber orientation models developed for injection-molded short-fiber thermoplastics (SFTs). Section 3 provides an assessment of these models to determine their capabilities and limitations, and the developments needed for injection-molded LFTs. Section 4 then focuses on the development of a new fiber orientation model for LFTs. This model is termed the anisotropic rotary diffusion - reduced strain closure (ARD-RSC) model as it explores the concept of anisotropic rotary diffusion to capture the fiber-fiber interaction in long-fiber suspensions and uses the reduced strain closure method of Wang et al. to slow down the orientation kinetics in concentrated suspensions. In contrast to fiber orientation modeling, before this project, no standard model was developed to predict the fiber length distribution in molded fiber composites. Section 5 is therefore devoted to the development of a fiber length attrition model in the mold. Sections 6 and 7 address the implementations of the models in AMI, and the conclusions drawn from this work is presented in Section 8.

  6. Implementing a multispecies size-spectrum model in a data-poor ecosystem

    Institute of Scientific and Technical Information of China (English)

    ZHANG Chongliang; CHEN Yong; THOMPSON Katherine; REN Yiping

    2016-01-01

    Multispecies ecological models have been used for predicting the effects of fishing activity and evaluating the performance of management strategies. Size-spectrum models are one type of physiologically-structured ecological model that provide a feasible approach to describing fish communities in terms of individual dietary variation and ontogenetic niche shift. Despite the potential of ecological models in improving our understanding of ecosystems, their application is usually limited for data-poor fisheries. As a first step in implementing ecosystem-based fisheries management (EBFM), this study built a size-spectrum model for the fish community in the Haizhou Bay, China. We describe data collection procedures and model parameterization to facilitate the implementation of such size-spectrum models for future studies of data-poor ecosystems. The effects of fishing on the ecosystem were exemplified with a range of fishing effort and were monitored with a set of ecological indicators. Total community biomass, biodiversity index, W-statistic, LFI (Large fish index), MeanW (mean body weight) and Slope (slope of community size spectra) showed a strong non-linear pattern in response to fishing pressure, and largest fishing effort did not generate the most drastic responses in certain scenarios. We emphasize the value and feasibility of developing size-spectrum models to capture ecological dynamics and suggest limitations as well as potential for model improvement. This study aims to promote a wide use of this type of model in support of EBFM.

  7. Analysis of Ecodesign Implementation and Solutions for Packaging Waste System by Using System Dynamics Modeling

    Science.gov (United States)

    Berzina, Alise; Dace, Elina; Bazbauers, Gatis

    2010-01-01

    This paper discusses the findings of a research project which explored the packaging waste management system in Latvia. The paper focuses on identifying how the policy mechanisms can promote ecodesign implementation and material efficiency improvement and therefore reduce the rate of packaging waste accumulation in landfill. The method used for analyzing the packaging waste management policies is system dynamics modeling. The main conclusion is that the existing legislative instruments can be used to create an effective policy for ecodesign implementation but substantially higher tax rates on packaging materials and waste disposal than the existing have to be applied.

  8. An implementation of continuous genetic algorithm in parameter estimation of predator-prey model

    Science.gov (United States)

    Windarto

    2016-03-01

    Genetic algorithm is an optimization method based on the principles of genetics and natural selection in life organisms. The main components of this algorithm are chromosomes population (individuals population), parent selection, crossover to produce new offspring, and random mutation. In this paper, continuous genetic algorithm was implemented to estimate parameters in a predator-prey model of Lotka-Volterra type. For simplicity, all genetic algorithm parameters (selection rate and mutation rate) are set to be constant along implementation of the algorithm. It was found that by selecting suitable mutation rate, the algorithms can estimate these parameters well.

  9. Public policy for children in Brazil – the process of implementation of a new model

    Directory of Open Access Journals (Sweden)

    Rodrigo Stumpf González

    2015-06-01

    Full Text Available Recently happened the 25th anniversary of the approval of the Child and Adolescent Statute. Which goals are achieved? What changed? This work analyses the Brazilian case in implementation of a new paradigm of children rights and his impact in the definition of aconcrete agenda of public policies, doing an evaluation of the new model and the changes, with focus of the development of a agenda of policies in four subjects: creation of councils, attention for the young lawbreakers, exploitation of child labour and sexual violence against children. At the end are discussed motivation for partial success in implementation of the agenda and responsibilities of the institutional actors involved.

  10. Describing different brain computer interface systems through a unique model: a UML implementation.

    Science.gov (United States)

    Quitadamo, Lucia Rita; Marciani, Maria Grazia; Cardarilli, Gian Carlo; Bianchi, Luigi

    2008-01-01

    All the protocols currently implemented in brain computer interface (BCI) experiments are characterized by different structural and temporal entities. Moreover, due to the lack of a unique descriptive model for BCI systems, there is not a standard way to define the structure and the timing of a BCI experimental session among different research groups and there is also great discordance on the meaning of the most common terms dealing with BCI, such as trial, run and session. The aim of this paper is to provide a unified modeling language (UML) implementation of BCI systems through a unique dynamic model which is able to describe the main protocols defined in the literature (P300, mu-rhythms, SCP, SSVEP, fMRI) and demonstrates to be reasonable and adjustable according to different requirements. This model includes a set of definitions of the typical entities encountered in a BCI, diagrams which explain the structural correlations among them and a detailed description of the timing of a trial. This last represents an innovation with respect to the models already proposed in the literature. The UML documentation and the possibility of adapting this model to the different BCI systems built to date, make it a basis for the implementation of new systems and a mean for the unification and dissemination of resources. The model with all the diagrams and definitions reported in the paper are the core of the body language framework, a free set of routines and tools for the implementation, optimization and delivery of cross-platform BCI systems.

  11. Hybrid Multi-Agent Control in Microgrids: Framework, Models and Implementations Based on IEC 61850

    Directory of Open Access Journals (Sweden)

    Xiaobo Dou

    2014-12-01

    Full Text Available Operation control is a vital and complex issue for microgrids. The objective of this paper is to explore the practical means of applying decentralized control by using a multi agent system in actual microgrids and devices. This paper presents a hierarchical control framework (HCF consisting of local reaction control (LRC level, local decision control (LDC level, horizontal cooperation control (HCC level and vertical cooperation control (VCC level to meet different control requirements of a microgrid. Then, a hybrid multi-agent control model (HAM is proposed to implement HCF, and the properties, functionalities and operating rules of HAM are described. Furthermore, the paper elaborates on the implementation of HAM based on the IEC 61850 Standard, and proposes some new implementation methods, such as extended information models of IEC 61850 with agent communication language and bidirectional interaction mechanism of generic object oriented substation event (GOOSE communication. A hardware design and software system are proposed and the results of simulation and laboratory tests verify the effectiveness of the proposed strategies, models and implementations.

  12. Implementation of angular response function modeling in SPECT simulations with GATE

    Energy Technology Data Exchange (ETDEWEB)

    Descourt, P; Visvikis, D [INSERM, U650, LaTIM, IFR SclnBioS, Universite de Brest, CHU Brest, Brest, F-29200 (France); Carlier, T; Bardies, M [CRCNA INSERM U892, Nantes (France); Du, Y; Song, X; Frey, E C; Tsui, B M W [Department of Radiology, J Hopkins University, Baltimore, MD (United States); Buvat, I, E-mail: dimitris@univ-brest.f [IMNC-UMR 8165 CNRS Universites Paris 7 et Paris 11, Orsay (France)

    2010-05-07

    Among Monte Carlo simulation codes in medical imaging, the GATE simulation platform is widely used today given its flexibility and accuracy, despite long run times, which in SPECT simulations are mostly spent in tracking photons through the collimators. In this work, a tabulated model of the collimator/detector response was implemented within the GATE framework to significantly reduce the simulation times in SPECT. This implementation uses the angular response function (ARF) model. The performance of the implemented ARF approach has been compared to standard SPECT GATE simulations in terms of the ARF tables' accuracy, overall SPECT system performance and run times. Considering the simulation of the Siemens Symbia T SPECT system using high-energy collimators, differences of less than 1% were measured between the ARF-based and the standard GATE-based simulations, while considering the same noise level in the projections, acceleration factors of up to 180 were obtained when simulating a planar 364 keV source seen with the same SPECT system. The ARF-based and the standard GATE simulation results also agreed very well when considering a four-head SPECT simulation of a realistic Jaszczak phantom filled with iodine-131, with a resulting acceleration factor of 100. In conclusion, the implementation of an ARF-based model of collimator/detector response for SPECT simulations within GATE significantly reduces the simulation run times without compromising accuracy. (note)

  13. NOTE: Implementation of angular response function modeling in SPECT simulations with GATE

    Science.gov (United States)

    Descourt, P.; Carlier, T.; Du, Y.; Song, X.; Buvat, I.; Frey, E. C.; Bardies, M.; Tsui, B. M. W.; Visvikis, D.

    2010-05-01

    Among Monte Carlo simulation codes in medical imaging, the GATE simulation platform is widely used today given its flexibility and accuracy, despite long run times, which in SPECT simulations are mostly spent in tracking photons through the collimators. In this work, a tabulated model of the collimator/detector response was implemented within the GATE framework to significantly reduce the simulation times in SPECT. This implementation uses the angular response function (ARF) model. The performance of the implemented ARF approach has been compared to standard SPECT GATE simulations in terms of the ARF tables' accuracy, overall SPECT system performance and run times. Considering the simulation of the Siemens Symbia T SPECT system using high-energy collimators, differences of less than 1% were measured between the ARF-based and the standard GATE-based simulations, while considering the same noise level in the projections, acceleration factors of up to 180 were obtained when simulating a planar 364 keV source seen with the same SPECT system. The ARF-based and the standard GATE simulation results also agreed very well when considering a four-head SPECT simulation of a realistic Jaszczak phantom filled with iodine-131, with a resulting acceleration factor of 100. In conclusion, the implementation of an ARF-based model of collimator/detector response for SPECT simulations within GATE significantly reduces the simulation run times without compromising accuracy.

  14. Assessment of organizational readiness for health promotion policy implementation: test of a theoretical model.

    Science.gov (United States)

    Rütten, A; Röger, U; Abu-Omar, K; Frahsa, A

    2009-09-01

    Models explaining the engagement of organizations in different policy sectors in health promotion policy implementation often utilize retrospective data. The current study attempted to model determinants of organizational readiness (goals, resources, obligation, opportunities) in supporting health policy implementation prospectively. Twenty qualitative interviews with representatives of organizations from different policy sectors, levels of government and organizational legal entities were conducted at the beginning of a project for the promotion of physical activity among women in difficult life situations. Organizational support in developing, implementing and disseminating the project was documented over 36 months. Results indicated that in most organizations, determinants were not favorable for health promotion policy action for physical activity among women in difficult life situations. Six organizations did not report any favorable determinant, and two organizations reported four. The other 12 organizations reported positive results for some of the determinants. Project work received support from 6 out of the 20 organizations. A case study of three organizations indicated that engagement or disengagement of organizations in health promotion policy actions might be partly explained by the theoretical model. The prospective assessment of organizational readiness in implementing health promotion policy is highly relevant for health promotion. Considering the proposed theoretical framework may aid in advancing our understanding of factors that are related to organizational engagement in health promotion actions.

  15. Assessment Engineering Task Model Maps, Task Models and Templates as a New Way to Develop and Implement Test Specifications

    Science.gov (United States)

    Luecht, Richard M.

    2013-01-01

    Assessment engineering is a new way to design and implement scalable, sustainable and ideally lower-cost solutions to the complexities of designing and developing tests. It represents a merger of sorts between cognitive task modeling and engineering design principles--a merger that requires some new thinking about the nature of score scales, item…

  16. Implementation of the Immersed Boundary Method in the Weather Research and Forecasting model

    Energy Technology Data Exchange (ETDEWEB)

    Lundquist, Katherine Ann [Univ. of California, Berkeley, CA (United States)

    2006-01-01

    Accurate simulations of atmospheric boundary layer flow are vital for predicting dispersion of contaminant releases, particularly in densely populated urban regions where first responders must react within minutes and the consequences of forecast errors are potentially disastrous. Current mesoscale models do not account for urban effects, and conversely urban scale models do not account for mesoscale weather features or atmospheric physics. The ultimate goal of this research is to develop and implement an immersed boundary method (IBM) along with a surface roughness parameterization into the mesoscale Weather Research and Forecasting (WRF) model. IBM will be used in WRF to represent the complex boundary conditions imposed by urban landscapes, while still including forcing from regional weather patterns and atmospheric physics. This document details preliminary results of this research, including the details of three distinct implementations of the immersed boundary method. Results for the three methods are presented for the case of a rotation influenced neutral atmospheric boundary layer over flat terrain.

  17. An analog circuit implementation of a Huber-Braun cold receptor neuron model.

    Science.gov (United States)

    Hermida, Raul; Patrone, Martin; Pijuan, Martin; Monzon, Pablo; Oreggioni, Julián

    2012-01-01

    We present the design and implementation of an electronic device that, using off the shelf discrete analog components, implements the mathematical model of a cold receptor neuron called Huber-Braun. This model describes the electrical behavior of certain kinds of receptors when interacting with their environment, and it consists of a set of differential equations that has only been solved by numeric simulations. By these means a chaotic behavior has been found. An analog computer can be relevant for further analysis and validation of the model. The results obtained by means of numeric simulations and through our analog circuit simulator are consistent. In particular, temperature and external current bifurcation diagrams were successfully built. Finally, the electronic device allows the observation of all relevant variables and most of the expected behavior (tonic firing, chaotic, burst discharge, subthreshold oscillation and steady state).

  18. Development and Implementation of a Telecommuting Evaluation Framework, and Modeling the Executive Telecommuting Adoption Process

    Science.gov (United States)

    Vora, V. P.; Mahmassani, H. S.

    2002-02-01

    This work proposes and implements a comprehensive evaluation framework to document the telecommuter, organizational, and societal impacts of telecommuting through telecommuting programs. Evaluation processes and materials within the outlined framework are also proposed and implemented. As the first component of the evaluation process, the executive survey is administered within a public sector agency. The survey data is examined through exploratory analysis and is compared to a previous survey of private sector executives. The ordinal probit, dynamic probit, and dynamic generalized ordinal probit (DGOP) models of telecommuting adoption are calibrated to identify factors which significantly influence executive adoption preferences and to test the robustness of such factors. The public sector DGOP model of executive willingness to support telecommuting under different program scenarios is compared with an equivalent private sector DGOP model. Through the telecommuting program, a case study of telecommuting travel impacts is performed to further substantiate research.

  19. Measurement of a model of implementation for health care: toward a testable theory

    Directory of Open Access Journals (Sweden)

    Cook Joan M

    2012-07-01

    Full Text Available Abstract Background Greenhalgh et al. used a considerable evidence-base to develop a comprehensive model of implementation of innovations in healthcare organizations [1]. However, these authors did not fully operationalize their model, making it difficult to test formally. The present paper represents a first step in operationalizing Greenhalgh et al.’s model by providing background, rationale, working definitions, and measurement of key constructs. Methods A systematic review of the literature was conducted for key words representing 53 separate sub-constructs from six of the model’s broad constructs. Using an iterative process, we reviewed existing measures and utilized or adapted items. Where no one measure was deemed appropriate, we developed other items to measure the constructs through consensus. Results The review and iterative process of team consensus identified three types of data that can been used to operationalize the constructs in the model: survey items, interview questions, and administrative data. Specific examples of each of these are reported. Conclusion Despite limitations, the mixed-methods approach to measurement using the survey, interview measure, and administrative data can facilitate research on implementation by providing investigators with a measurement tool that captures most of the constructs identified by the Greenhalgh model. These measures are currently being used to collect data concerning the implementation of two evidence-based psychotherapies disseminated nationally within Department of Veterans Affairs. Testing of psychometric properties and subsequent refinement should enhance the utility of the measures.

  20. Implementing a continuum of care model for older people - results from a Swedish case study

    Directory of Open Access Journals (Sweden)

    Anna Duner

    2011-11-01

    Full Text Available Introduction: There is a need for integrated care and smooth collaboration between care-providing organisations and professions to create a continuum of care for frail older people. However, collaboration between organisations and professions is often problematic. The aim of this study was to examine the process of implementing a new continuum of care model in a complex organisational context, and illuminate some of the challenges involved. The introduced model strived to connect three organisations responsible for delivering health and social care to older people: the regional hospital, primary health care and municipal eldercare.Methods: The actions of the actors involved in the process of implementing the model were understood to be shaped by the actors' understanding, commitment and ability. This article is based on 44 qualitative interviews performed on four occasions with 26 key actors at three organisational levels within these three organisations.Results and conclusions: The results point to the importance of paying regard to the different cultures of the organisations when implementing a new model. The role of upper management emerged as very important. Furthermore, to be accepted, the model has to be experienced as effectively dealing with real problems in the everyday practice of the actors in the organisations, from the bottom to the top.

  1. Implementing a continuum of care model for older people - results from a Swedish case study

    Directory of Open Access Journals (Sweden)

    Anna Duner

    2011-11-01

    Full Text Available Introduction: There is a need for integrated care and smooth collaboration between care-providing organisations and professions to create a continuum of care for frail older people. However, collaboration between organisations and professions is often problematic. The aim of this study was to examine the process of implementing a new continuum of care model in a complex organisational context, and illuminate some of the challenges involved. The introduced model strived to connect three organisations responsible for delivering health and social care to older people: the regional hospital, primary health care and municipal eldercare. Methods: The actions of the actors involved in the process of implementing the model were understood to be shaped by the actors' understanding, commitment and ability. This article is based on 44 qualitative interviews performed on four occasions with 26 key actors at three organisational levels within these three organisations. Results and conclusions: The results point to the importance of paying regard to the different cultures of the organisations when implementing a new model. The role of upper management emerged as very important. Furthermore, to be accepted, the model has to be experienced as effectively dealing with real problems in the everyday practice of the actors in the organisations, from the bottom to the top.

  2. Implementation of Software Configuration Management Process by Models: Practical Experiments and Learned Lessons

    Directory of Open Access Journals (Sweden)

    Bartusevics Arturs

    2014-12-01

    Full Text Available Nowadays software configuration management process is not only dilemma which system should be used for version control or how to merge changes from one source code branch to other. There are multiple tasks such as version control, build management, deploy management, status accounting, bug tracking and many others that should be solved to support full configuration management process according to most popular quality standards. The main scope of the mentioned process is to include only valid and tested software items to final version of product and prepare a new version as soon as possible. To implement different tasks of software configuration management process, a set of different tools, scripts and utilities should be used. The current paper provides a new model-based approach to implementation of configuration management. Using different models, a new approach helps to organize existing solutions and develop new ones by a parameterized way, thus increasing reuse of solutions. The study provides a general description of new model-based conception and definitions of all models needed to implement a new approach. The second part of the paper contains an overview of criteria, practical experiments and lessons learned from using new models in software configuration management. Finally, further works are defined based on results of practical experiments and lessons learned.

  3. Impact of bioethanol fuel implementation in transport based on modelled acetaldehyde concentration in the urban environment.

    Science.gov (United States)

    Sundvor, Ingrid; López-Aparicio, Susana

    2014-10-15

    This study shows the results obtained from emission and air dispersion modelling of acetaldehyde in the city of Oslo and associated with the circulation of bioethanol vehicles. Two scenarios of bioethanol implementation, both realistic and hypothetical, have been considered under winter conditions; 1) realistic baseline scenario, which corresponds to the current situation in Oslo where one bus line is running with bioethanol (E95; 95% ethanol-5% petrol) among petrol and diesel vehicles; and 2) a hypothetical scenario characterized by a full implementation of high-blend bioethanol (i.e. E85) as fuel for transportation, and thus an entire bioethanol fleet. The results indicate that a full implementation of bioethanol will have a certain impact on urban air quality due to direct emissions of acetaldehyde. Acetaldehyde emissions are estimated to increase by 233% and concentration levels increase up to 650% with regard to the baseline.

  4. New model of enterprises resource planning implementation planning process in manufacturing enterprises

    Directory of Open Access Journals (Sweden)

    Mirjana Misita

    2016-05-01

    Full Text Available This article presents new model of enterprises resource planning implementation planning process in manufacturing enterprises based on assessment of risk sources. This assessment was performed by applying analytic hierarchy process. Analytic hierarchy process method allows variation of relative importance of specific risk sources dependent on the section from which the risk source originates (organizational environment, technical issues, people issues, adoption process management, and external support. Survey was conducted on 85 manufacturing enterprises involved with an enterprises resource planning solution. Ranking of risk sources assessments returns most frequent risks of enterprises resource planning implementation success in manufacturing enterprises, and representative factors were isolated through factor analysis by risk source origin. Finally, results indicate that there are hidden causes of failed implementation, for example, risk source “top management training and education,” from risk origin “adoption process management.”

  5. Improving pain care through implementation of the Stepped Care Model at a multisite community health center

    Science.gov (United States)

    Anderson, Daren R; Zlateva, Ianita; Coman, Emil N; Khatri, Khushbu; Tian, Terrence; Kerns, Robert D

    2016-01-01

    Purpose Treating pain in primary care is challenging. Primary care providers (PCPs) receive limited training in pain care and express low confidence in their knowledge and ability to manage pain effectively. Models to improve pain outcomes have been developed, but not formally implemented in safety net practices where pain is particularly common. This study evaluated the impact of implementing the Stepped Care Model for Pain Management (SCM-PM) at a large, multisite Federally Qualified Health Center. Methods The Promoting Action on Research Implementation in Health Services framework guided the implementation of the SCM-PM. The multicomponent intervention included: education on pain care, new protocols for pain assessment and management, implementation of an opioid management dashboard, telehealth consultations, and enhanced onsite specialty resources. Participants included 25 PCPs and their patients with chronic pain (3,357 preintervention and 4,385 postintervention) cared for at Community Health Center, Inc. Data were collected from the electronic health record and supplemented by chart reviews. Surveys were administered to PCPs to assess knowledge, attitudes, and confidence. Results Providers’ pain knowledge scores increased to an average of 11% from baseline; self-rated confidence in ability to manage pain also increased. Use of opioid treatment agreements and urine drug screens increased significantly by 27.3% and 22.6%, respectively. Significant improvements were also noted in documentation of pain, pain treatment, and pain follow-up. Referrals to behavioral health providers for patients with pain increased by 5.96% (P=0.009). There was no significant change in opioid prescribing. Conclusion Implementation of the SCM-PM resulted in clinically significant improvements in several quality of pain care outcomes. These findings, if sustained, may translate into improved patient outcomes. PMID:27881926

  6. Understanding influential factors on implementing green supply chain management practices: An interpretive structural modelling analysis.

    Science.gov (United States)

    Agi, Maher A N; Nishant, Rohit

    2017-03-01

    In this study, we establish a set of 19 influential factors on the implementation of Green Supply Chain Management (GSCM) practices and analyse the interaction between these factors and their effect on the implementation of GSCM practices using the Interpretive Structural Modelling (ISM) method and the "Matrice d'Impacts Croisés Multiplication Appliquée à un Classement" (MICMAC) analysis on data compiled from interviews with supply chain (SC) executives based in the Gulf countries (Middle East region). The study reveals a strong influence and driving power of the nature of the relationships between SC partners on the implementation of GSCM practices. We especially found that dependence, trust, and durability of the relationship with SC partners have a very high influence. In addition, the size of the company, the top management commitment, the implementation of quality management and the employees training and education exert a critical influence on the implementation of GSCM practices. Contextual elements such as the industry sector and region and their effect on the prominence of specific factors are also highlighted through our study. Finally, implications for research and practice are discussed.

  7. National implementation of a mental health service model: A survey of Crisis Resolution Teams in England.

    Science.gov (United States)

    Lloyd-Evans, Brynmor; Paterson, Bethan; Onyett, Steve; Brown, Ellie; Istead, Hannah; Gray, Richard; Henderson, Claire; Johnson, Sonia

    2017-01-11

    In response to pressures on mental health inpatient beds and a perceived 'crisis in acute care', Crisis Resolution Teams (CRTs), acute home treatment services, were implemented nationally in England following the NHS Plan in the year 2000: an unprecedentedly prescriptive policy mandate for three new types of functional community mental health team. We examined the effects of this mandate on implementation of the CRT service model. Two hundred and eighteen CRTs were mapped in England, including services in all 65 mental health administrative regions. Eighty-eight percent (n = 192) of CRT managers in England participated in an online survey. CRT service organization and delivery was highly variable. Nurses were the only professional group employed in all CRT staff teams. Almost no teams adhered fully to government implementation guidance. CRT managers identified several aspects of CRT service delivery as desirable but not routinely provided. A national policy mandate and government guidance and standards have proved insufficient to ensure CRT implementation as planned. Development and testing of resources to support implementation and monitoring of a complex mental health intervention is required.

  8. Improved Modeling in a Matlab-Based Navigation System

    Science.gov (United States)

    Deutschmann, Julie; Bar-Itzhack, Itzhack; Harman, Rick; Larimore, Wallace E.

    1999-01-01

    An innovative approach to autonomous navigation is available for low earth orbit satellites. The system is developed in Matlab and utilizes an Extended Kalman Filter (EKF) to estimate the attitude and trajectory based on spacecraft magnetometer and gyro data. Preliminary tests of the system with real spacecraft data from the Rossi X-Ray Timing Explorer Satellite (RXTE) indicate the existence of unmodeled errors in the magnetometer data. Incorporating into the EKF a statistical model that describes the colored component of the effective measurement of the magnetic field vector could improve the accuracy of the trajectory and attitude estimates and also improve the convergence time. This model is identified as a first order Markov process. With the addition of the model, the EKF attempts to identify the non-white components of the noise allowing for more accurate estimation of the original state vector, i.e. the orbital elements and the attitude. Working in Matlab allows for easy incorporation of new models into the EKF and the resulting navigation system is generic and can easily be applied to future missions resulting in an alternative in onboard or ground-based navigation.

  9. As-Built documentation of programs to implement the Robertson and Doraiswamy/Thompson models

    Science.gov (United States)

    Valenziano, D. J. (Principal Investigator)

    1981-01-01

    The software which implements two spring wheat phenology models is described. The main program routines for the Doraiswamy/Thompson crop phenology model and the basic Robertson crop phenology model are DTMAIN and BRMAIN. These routines read meteorological data files and coefficient files, accept the planting date information and other information from the user, and initiate processing. Daily processing for the basic Robertson program consists only of calculation of the basic Robertson increment of crop development. Additional processing in the Doraiswamy/Thompson program includes the calculation of a moisture stress index and correction of the basic increment of development. Output for both consists of listings of the daily results.

  10. Coaches’ Adoption and Implementation of Sport Canada’s Long-Term Athlete Development Model

    Directory of Open Access Journals (Sweden)

    Charlotte Beaudoin

    2015-07-01

    Full Text Available This work explores the adoption and implementation of Sport Canada’s long-term athlete development (LTAD model by coaches and tries to understand the barriers to and enablers of these processes. LTAD adoption was studied in 14 coaches (5 female, 9 male in seven sports while implementation was assessed among 10 different coaches (2 female, 8 male from nine sports. Semistructured interviews ascertained coaches’ perceptions of and experiences with the LTAD model in their coaching practice. Coaches adhered to the global vision and general principles of LTAD. However, several barriers to LTAD adoption and implementation were identified. A mismatch between the model’s long-term and the short-term visions of results in sport was perceived as deterrent to LTAD adoption and implementation. Coaches involved in early development sports mentioned a lack of compatibility of LTAD with the demands of their sport. Coaches also perceived complexity in LTAD athlete’s developmental stage determination and the identification of “windows of opportunity” or critical periods. These barriers should be addressed to complete diffusion of LTAD among Canadian coaches.

  11. A financing model to solve financial barriers for implementing green building projects.

    Science.gov (United States)

    Lee, Sanghyo; Lee, Baekrae; Kim, Juhyung; Kim, Jaejun

    2013-01-01

    Along with the growing interest in greenhouse gas reduction, the effect of greenhouse gas energy reduction from implementing green buildings is gaining attention. The government of the Republic of Korea has set green growth as its paradigm for national development, and there is a growing interest in energy saving for green buildings. However, green buildings may have financial barriers that have high initial construction costs and uncertainties about future project value. Under the circumstances, governmental support to attract private funding is necessary to implement green building projects. The objective of this study is to suggest a financing model for facilitating green building projects with a governmental guarantee based on Certified Emission Reduction (CER). In this model, the government provides a guarantee for the increased costs of a green building project in return for CER. And this study presents the validation of the model as well as feasibility for implementing green building project. In addition, the suggested model assumed governmental guarantees for the increased cost, but private guarantees seem to be feasible as well because of the promising value of the guarantee from CER. To do this, certification of Clean Development Mechanisms (CDMs) for green buildings must be obtained.

  12. Implementation and Validation of the BHR Turbulence Model in the FLAG Hydrocode

    Energy Technology Data Exchange (ETDEWEB)

    Denissen, Nicholas A. [Los Alamos National Laboratory; Fung, Jimmy [Los Alamos National Laboratory; Reisner, Jon M. [Los Alamos National Laboratory; Andrews, Malcolm J. [Los Alamos National Laboratory

    2012-08-29

    The BHR-2 turbulence model, developed at Los Alamos National Laboratory for variable density and compressible flows, is implemented in an Arbitrary Lagrangian-Eulerian hydrocode, FLAG. The BHR-2 formulation is discussed, with emphasis on its connection to multi-component flow formulations that underlie FLAG's treatment of multi-species flow. One-dimensional and two-dimensional validation tests are performed and compared to experiment and Eulerian simulations. Turbulence is an often studied and ubiquitous phenomenon in nature, and modeling its effects is essential in many practical applications. Specifically the behavior of turbulence in the presence of strong density gradients and compressibility is of fundamental importance in applications ranging from Inertial Confinement Fusion (ICF) [1], supernovae [2], and atmospheric flows. The BHR closure approach [3] seeks to model the physical processes at work in variable density turbulence including Kelvin-Helmholtz (KH) [4], Rayleigh-Taylor (RT) [5], and Richtmyer-Meshkov (RM) [6], driven turbulence. The effectiveness of the BHR-2 implementation has been demonstrated for variable density mixing in the KH, RT, and RM cases in an Eulerian framework [7]. The primary motivation of the present work is to implement the BHR-2 turbulence model in the Arbitrary Lagrangian-Eulerian (ALE) hydrodynamics code FLAG. The goal is not only to demonstrate results in agreement with previous Eulerian calculations, but also document behavior that arises from the underlying differences in code philosophy.

  13. Implementing the Serial Number Tracking model in telecommunications: a case study of Croatia

    Directory of Open Access Journals (Sweden)

    Neven Polovina

    2012-01-01

    Full Text Available Background: The case study describes the implementation of the SNT (Serial Number Tracking model in an integrated information system, as a means of business support in a Croatian mobile telecommunications company. Objectives: The goal was to show how to make the best practice of the SNT implementation in the telecommunication industry, with referencing to problems which have arisen during the implementation. Methods/Approach: the case study approach was used based on the documentation about the SNT model and the business intelligence system in the Croatian mobile telecommunications company. Results: Economic aspects of the effectiveness of the SNT model are described and confirmed based on actual tangible and predominantly on intangible benefits. Conclusions: Advantages of the SNT model are multiple: operating costs for storage and transit of goods were reduced, accuracy of deliveries and physical inventory was improved; a new source of information for the business intelligence system was obtained; operating processes in the distribution of goods were advanced; transit insurance costs decreased and there were fewer cases of fraudulent behaviour.

  14. A Financing Model to Solve Financial Barriers for Implementing Green Building Projects

    Directory of Open Access Journals (Sweden)

    Sanghyo Lee

    2013-01-01

    Full Text Available Along with the growing interest in greenhouse gas reduction, the effect of greenhouse gas energy reduction from implementing green buildings is gaining attention. The government of the Republic of Korea has set green growth as its paradigm for national development, and there is a growing interest in energy saving for green buildings. However, green buildings may have financial barriers that have high initial construction costs and uncertainties about future project value. Under the circumstances, governmental support to attract private funding is necessary to implement green building projects. The objective of this study is to suggest a financing model for facilitating green building projects with a governmental guarantee based on Certified Emission Reduction (CER. In this model, the government provides a guarantee for the increased costs of a green building project in return for CER. And this study presents the validation of the model as well as feasibility for implementing green building project. In addition, the suggested model assumed governmental guarantees for the increased cost, but private guarantees seem to be feasible as well because of the promising value of the guarantee from CER. To do this, certification of Clean Development Mechanisms (CDMs for green buildings must be obtained.

  15. Simplifying Hill-based muscle models through generalized extensible fuzzy heuristic implementation

    Science.gov (United States)

    O'Brien, Amy J.

    2006-04-01

    Traditional dynamic muscle models based on work initially published by A. V. Hill in 1938 often rely on high-order systems of differential equations. While such models are very accurate and effective, they do not typically lend themselves to modification by clinicians who are unfamiliar with biomedical engineering and advanced mathematics. However, it is possible to develop a fuzzy heuristic implementation of a Hill-based model-the Fuzzy Logic Implemented HIll-based (FLIHI) muscle model-that offers several advantages over conventional state equation approaches. Because a fuzzy system is oriented by design to describe a model in linguistics rather than ordinary differential equation-based mathematics, the resulting fuzzy model can be more readily modified and extended by medical practitioners. It also stands to reason that a well-designed fuzzy inference system can be implemented with a degree of generalizability not often encountered in traditional state space models. Taking electromyogram (EMG) as one input to muscle, FLIHI is tantamount to a fuzzy EMG-to-muscle force estimator that captures dynamic muscle properties while providing robustness to partial or noisy data. One goal behind this approach is to encourage clinicians to rely on the model rather than assuming that muscle force as an output maps directly to smoothed EMG as an input. FLIHI's force estimate is more accurate than assuming force equal to smoothed EMG because FLIHI provides a transfer function that accounts for muscle's inherent nonlinearity. Furthermore, employing fuzzy logic should provide FLIHI with improved robustness over traditional mathematical approaches.

  16. Aspects of Gas Sensor’s Modeling and Implementation in a Dynamic Environment

    Directory of Open Access Journals (Sweden)

    Hakim Baha

    2009-10-01

    Full Text Available In this paper we design an artificial neural-network (ANN model for gas sensors operating in dynamic environments; the goal of this study is to create a model incorporates intelligence that can automatically compensate for the nonlinear response characteristics and its nonlinear dependency on the environmental parameters. The gas sensor is an industrial resistive kind. Using neuronal networks and Matlab environment during the design phase and optimization, we have in the first hand created an analytical model ANN In the second hand a linearization and compensation using a corrector is applied to this model. The model and its corrector were implemented as components in the PSPICE simulator library. We have shown that the ANN model accurately expresses the nonlinear character of the response and the dependence in environmental parameters in the measure point forth more it depends on gas nature, the corrector linearize and compensate the sensors response.

  17. Parameter Estimation of Population Pharmacokinetic Models with Stochastic Differential Equations: Implementation of an Estimation Algorithm

    Directory of Open Access Journals (Sweden)

    Fang-Rong Yan

    2014-01-01

    Full Text Available Population pharmacokinetic (PPK models play a pivotal role in quantitative pharmacology study, which are classically analyzed by nonlinear mixed-effects models based on ordinary differential equations. This paper describes the implementation of SDEs in population pharmacokinetic models, where parameters are estimated by a novel approximation of likelihood function. This approximation is constructed by combining the MCMC method used in nonlinear mixed-effects modeling with the extended Kalman filter used in SDE models. The analysis and simulation results show that the performance of the approximation of likelihood function for mixed-effects SDEs model and analysis of population pharmacokinetic data is reliable. The results suggest that the proposed method is feasible for the analysis of population pharmacokinetic data.

  18. Effect of different implementations of the same ice history in GIA modeling

    Science.gov (United States)

    Barletta, V. R.; Bordoni, A.

    2013-11-01

    This study shows the effect of changing the way ice histories are implemented in Glacial Isostatic Adjustment (GIA) codes to solve the sea level equation. The ice history models are being constantly improved and are provided in different formats. The overall algorithmic design of the sea-level equation solver often forces to implement the ice model in a representation that differs from the one originally provided. We show that using different representations of the same ice model gives important differences and artificial contributions to the sea level estimates, both at global and at regional scale. This study is not a speculative exercise. The ICE-5G model adopted in this work is widely used in present day sea-level analysis, but discrepancies between the results obtained by different groups for the same ice models still exist, and it was the effort to set a common reference for the sea-level community that inspired this work. Understanding this issue is important to be able to reduce the artefacts introduced by a non-suitable ice model representation. This is especially important when developing new GIA models, since neglecting this problem can easily lead to wrong alignment of the ice and sea-level histories, particularly close to the deglaciation areas, like Antarctica.

  19. IMPLEMENTATION AND VALIDATION OF A FULLY IMPLICIT ACCUMULATOR MODEL IN RELAP-7

    Energy Technology Data Exchange (ETDEWEB)

    Zhao, Haihua [Idaho National Laboratory; Zou, Ling [Idaho National Laboratory; Zhang, Hongbin [Idaho National Laboratory; Martineau, Richard Charles [Idaho National Laboratory

    2016-01-01

    This paper presents the implementation and validation of an accumulator model in RELAP-7 under the framework of preconditioned Jacobian free Newton Krylov (JFNK) method, based on the similar model used in RELAP5. RELAP-7 is a new nuclear reactor system safety analysis code being developed at the Idaho National Laboratory (INL). RELAP-7 is a fully implicit system code. The JFNK and preconditioning methods used in RELAP-7 is briefly discussed. The slightly modified accumulator model is summarized for completeness. The implemented model was validated with LOFT L3-1 test and benchmarked with RELAP5 results. RELAP-7 and RELAP5 had almost identical results for the accumulator gas pressure and water level, although there were some minor difference in other parameters such as accumulator gas temperature and tank wall temperature. One advantage of the JFNK method is its easiness to maintain and modify models due to fully separation of numerical methods from physical models. It would be straightforward to extend the current RELAP-7 accumulator model to simulate the advanced accumulator design.

  20. Design and Implementation of “Many Parallel Task” Hybrid Subsurface Model

    Energy Technology Data Exchange (ETDEWEB)

    Agarwal, Khushbu; Chase, Jared M.; Schuchardt, Karen L.; Scheibe, Timothy D.; Palmer, Bruce J.; Elsethagen, Todd O.

    2011-11-01

    Continuum scale models have been used to study subsurface flow, transport, and reactions for many years. Recently, pore scale models, which operate at scales of individual soil grains, have been developed to more accurately model pore scale phenomena, such as precipitation, that may not be well represented at the continuum scale. However, particle-based models become prohibitively expensive for modeling realistic domains. Instead, we are developing a hybrid model that simulates the full domain at continuum scale and applies the pore model only to areas of high reactivity. The hybrid model uses a dimension reduction approach to formulate the mathematical exchange of information across scales. Since the location, size, and number of pore regions in the model varies, an adaptive Pore Generator is being implemented to define pore regions at each iteration. A fourth code will provide data transformation from the pore scale back to the continuum scale. These components are coupled into a single hybrid model using the SWIFT workflow system. Our hybrid model workflow simulates a kinetic controlled mixing reaction in which multiple pore-scale simulations occur for every continuum scale timestep. Each pore-scale simulation is itself parallel, thus exhibiting multi-level parallelism. Our workflow manages these multiple parallel tasks simultaneously, with the number of tasks changing across iterations. It also supports dynamic allocation of job resources and visualization processing at each iteration. We discuss the design, implementation and challenges associated with building a scalable, Many Parallel Task, hybrid model to run efficiently on thousands to tens of thousands of processors.

  1. Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory

    Directory of Open Access Journals (Sweden)

    Winters-Hilt Stephen

    2008-04-01

    Full Text Available Abstract Background The Baum-Welch learning procedure for Hidden Markov Models (HMMs provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clustering. A linear memory procedure recently proposed by Miklós, I. and Meyer, I.M. describes a memory sparse version of the Baum-Welch algorithm with modifications to the original probabilistic table topologies to make memory use independent of sequence length (and linearly dependent on state number. The original description of the technique has some errors that we amend. We then compare the corrected implementation on a variety of data sets with conventional and checkpointing implementations. Results We provide a correct recurrence relation for the emission parameter estimate and extend it to parameter estimates of the Normal distribution. To accelerate estimation of the prior state probabilities, and decrease memory use, we reverse the originally proposed forward sweep. We describe different scaling strategies necessary in all real implementations of the algorithm to prevent underflow. In this paper we also describe our approach to a linear memory implementation of the Viterbi decoding algorithm (with linearity in the sequence length, while memory use is approximately independent of state number. We demonstrate the use of the linear memory implementation on an extended Duration Hidden Markov Model (DHMM and on an HMM with a spike detection topology. Comparing the various implementations of the Baum-Welch procedure we find that the checkpointing algorithm produces the best overall tradeoff between memory use and speed. In cases where sequence length is very large (for Baum-Welch, or state number is very large (for Viterbi, the linear memory methods outlined may offer some utility. Conclusion Our performance-optimized Java implementations of Baum-Welch algorithm are available at http://logos.cs.uno.edu/~achurban. The described method and implementations will aid

  2. The Urgency of Doing: Assessing the System of Sustainable Implementation Model via the Schools Implementing towards Sustainability (SITS) Scale

    Science.gov (United States)

    Moceri, Dominic C.; Elias, Maurice J.; Fishman, Daniel B.; Pandina, Robert; Reyes-Portillo, Jazmin A.

    2012-01-01

    School-based prevention and promotion interventions (SBPPI) improve desirable outcomes (e.g., commitment to school and attendance) and reduce undesirable outcomes (e.g., suspensions and violence). Unfortunately, our understanding of how to effectively implement and sustain SBPPI outside of well-controlled conditions is lacking. To bridge this…

  3. Pilot implementation

    DEFF Research Database (Denmark)

    Hertzum, Morten; Bansler, Jørgen P.; Havn, Erling C.;

    2012-01-01

    implementation and provide three empirical illustrations of our model. We conclude that pilot implementation has much merit as an ISD technique when system performance is contingent on context. But we also warn developers that, despite their seductive conceptual simplicity, pilot implementations can be difficult...

  4. THE IMPLEMENTATION OF THE 5E MODEL STAGES TO BUILD STUDENTS’ VOCABULARY

    Directory of Open Access Journals (Sweden)

    Muhammad Rochman

    2015-12-01

    Full Text Available There are stages of human to learn something. In early ages, they will learn simplest things to the complicated ones. A learning process of human is started with and introductory and it tries to connect with their prior knowledge to the new one. Children begin to curious about what they want to know and start to make some questions about what they want to know. In the process of finding the answers of their own questions, they will interact with others and try to share the knowledge in this process. The result of this study illustrates that the implementation of the 5E model in teaching vocabulary that can enhance the students’ vocabulary achievement and successfully encourages them to actively and enthusiastically take part in the teaching-learning process of vocabulary through group task. Keywords: implementation, vocabulary, vocabulary course, and 5E model

  5. Process control for sheet-metal stamping process modeling, controller design and shop-floor implementation

    CERN Document Server

    Lim, Yongseob; Ulsoy, A Galip

    2014-01-01

    Process Control for Sheet-Metal Stamping presents a comprehensive and structured approach to the design and implementation of controllers for the sheet metal stamping process. The use of process control for sheet-metal stamping greatly reduces defects in deep-drawn parts and can also yield large material savings from reduced scrap. Sheet-metal forming is a complex process and most often characterized by partial differential equations that are numerically solved using finite-element techniques. In this book, twenty years of academic research are reviewed and the resulting technology transitioned to the industrial environment. The sheet-metal stamping process is modeled in a manner suitable for multiple-input multiple-output control system design, with commercially available sensors and actuators. These models are then used to design adaptive controllers and real-time controller implementation is discussed. Finally, experimental results from actual shopfloor deployment are presented along with ideas for further...

  6. Strategic Model for Implementing Knowledge Management in Libraries and Information Services

    Directory of Open Access Journals (Sweden)

    Octavia-Luciana Porumbeanu

    2009-01-01

    Full Text Available In most fields of activity one can notice the trend towards knowledge-based organizations and towards flexible organizations that encourage innovation and change. In this context, knowledge management has become a fundamental process for all types of organizations in society. Libraries and information services are integral part of the knowledge system, these organizations being one of the forms that contribute to knowledge development. This article presents a strategic model for implementing knowledge management in libraries and information services, created on the basis of the results from theoretical researches and practical applications of this process in organizations from different countries and different fields of activity and keeping in mind the specific characteristics of libraries and information services. The model is based on five fundamental elements from which one should begin implementation of a knowledge management function in the organizations engaged in information transfer.

  7. Designing, Implementation and Modeling of an Acrobot Mechanism and its Interface with MATLAB

    Directory of Open Access Journals (Sweden)

    Hasan Seidi

    2013-04-01

    Full Text Available Nowadays, the control of machenical systems with fewer inputs than outputs (Underactuated systems has become a challenging problem for control engineers. The 2DOF Acrobot system is one of the appealing example of this category. The goal of this paper, is designing, modeling and implementation of an Acrobot system to use in linear control, digital control, robotics and artificial intelligence labs. So, at first, a suitable mechanism (simple and low price was designed by SolidWorks. Then, the designed mechanism was made carefully. In the next step, dynamical model of the system was obtained based on Euler-Lagrange method. After implementation of some practical subsystem in the Simulink environment, the Acrobot system was linked with the MATLAB using a Data Acquisituon card.

  8. Ecodesign maturity model: a management framework to support ecodesign implementation into manufacturing companies

    DEFF Research Database (Denmark)

    Pigosso, Daniela Cristina Antelmi; Rozenfeld, Henrique; McAloone, Tim C.

    2013-01-01

    Over the last few decades, ecodesign has emerged as a promising approach to integrate environmental concerns into the product development and related processes. Ecodesign aims to minimize environmental impacts throughout the product’s life cycle, without compromising other essential criteria...... and improvement projects to be applied, by adopting a continuous improvement approach for process improvement. The model is thus intended to support ecodesign managers in their deployment of strategic and tactical roadmaps for ecodesign implementation. The paper discusses the main concept of the model...... such as performance and cost. Despite the potential benefits of ecodesign and the existence of several tools and techniques for product design, the actual application of ecodesign has not reached companies worldwide, mainly due to difficulties in ecodesign implementation and management. This paper introduces...

  9. Simple cortical and thalamic neuron models for digital arithmetic circuit implementation

    Directory of Open Access Journals (Sweden)

    Takuya eNanami

    2016-05-01

    Full Text Available Trade-off between reproducibility of neuronal activities and computational efficiency is one ofcrucial subjects in computational neuroscience and neuromorphic engineering. A wide variety ofneuronal models have been studied from different viewpoints. The digital spiking silicon neuron(DSSN model is a qualitative model that focuses on efficient implementation by digital arithmeticcircuits. We expanded the DSSN model and found appropriate parameter sets with which itreproduces the dynamical behaviors of the ionic-conductance models of four classes of corticaland thalamic neurons. We first developed a 4-variable model by reducing the number of variablesin the ionic-conductance models and elucidated its mathematical structures using bifurcationanalysis. Then, expanded DSSN models were constructed that reproduce these mathematicalstructures and capture the characteristic behavior of each neuron class. We confirmed thatstatistics of the neuronal spike sequences are similar in the DSSN and the ionic-conductancemodels. Computational cost of the DSSN model is larger than that of the recent sophisticatedIntegrate-and-Fire-based models, but smaller than the ionic-conductance models. This modelis intended to provide another meeting point for above trade-off that satisfies the demand forlarge-scale neuronal network simulation with closer-to-biology models.

  10. Towards personalized integrated dementia care: a qualitative study into the implementation of different models of case management.

    Science.gov (United States)

    Van Mierlo, Lisa D; Meiland, Franka J M; Van Hout, Hein P J; Dröes, Rose-Marie

    2014-07-08

    The aim of this process evaluation was to provide insight into facilitators and barriers to the delivery of community-based personalized dementia care of two different case management models, i.e. the linkage model and the combined intensive case management/joint agency model. These two emerging dementia care models differ considerably in the way they are organized and implemented. Insight into facilitators and barriers in the implementation of different models is needed to create future guidelines for successful implementation of case management in other regions. A qualitative case study design was used; semi-structured interviews were conducted with 22 stakeholders on the execution and continuation phases of the implementation process. The stakeholders represented a broad range of perspectives (i.e. project leaders, case managers, health insurers, municipalities). The independence of the case management organization in the intensive model facilitated the implementation, whereas the presence of multiple competing case management providers in the linkage model impeded the implementation. Most impeding factors were found in the linkage model and were related to the organizational structure of the dementia care network and how partners collaborate with each other in this network. The results of this process evaluation show that the intensive case management model is easier to implement as case managers in this model tend to be more able to provide quality of care, are less impeded by competitiveness of other care organizations and are more closely connected to the expert team than case managers in the linkage model.

  11. Systematic Assessment of Neutron and Gamma Backgrounds Relevant to Operational Modeling and Detection Technology Implementation

    Energy Technology Data Exchange (ETDEWEB)

    Archer, Daniel E. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Hornback, Donald Eric [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Johnson, Jeffrey O. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Nicholson, Andrew D. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Patton, Bruce W. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Peplow, Douglas E. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Miller, Thomas Martin [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Ayaz-Maierhafer, Birsen [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2015-01-01

    This report summarizes the findings of a two year effort to systematically assess neutron and gamma backgrounds relevant to operational modeling and detection technology implementation. The first year effort focused on reviewing the origins of background sources and their impact on measured rates in operational scenarios of interest. The second year has focused on the assessment of detector and algorithm performance as they pertain to operational requirements against the various background sources and background levels.

  12. 4th International Symposium on Modelling and Implementation of Complex Systems

    CERN Document Server

    Amine, Abdelmalek; Chaoui, Allaoua; Kholladi, Mohamed; Saidouni, Djamel

    2016-01-01

    This volume is a comprehensive collection of extended contributions from the fourth international symposium on Modeling and Implementing Complex Systems (MICS’2106) organized into four main topics: Networking and Cloud Computing, Software Engineering and Formal Methods, Intelligent and Information Systems, and Algorithms and Complexity. This book presents recent advances related to theory and applications of networking and distributed computing, including: cloud computing, software engineering, formal methods, information extraction, optimization algorithms, intelligent systems, and multi-agent systems.

  13. Design and Implementation of Visualized Workflow Modeling System Based on B/S Structure

    Institute of Scientific and Technical Information of China (English)

    WANG Jian; LI wei-li

    2007-01-01

    According to the necessity of flexible workflow management system, the solution to set up the visualized workflow modelling system based on B/S structure is put forward, which conforms to the relevant specifications of WfMC and the workflow process definition meta-modei. The design for system structure is presented in detail, and the key technologies for system implementation are also introduced. Additionally, an example is illustrated to demonstrate the validity of system.

  14. Uresničevanje notranjega brandinga: razvoj konceptualnega modela = Internal Branding Implementation: Developing a Conceptual Model

    OpenAIRE

    Maja Konecnik Ruzzier; Robert Kase; Katja Terglav

    2012-01-01

    Internal branding is the process, which enables balanced view of thebrand at all company levels. Its significance is aligning values and behaviorsof employees with brand values and brand promises. In the article,we focus mainly on its implementation, which requires coordinationof different functions in the company, for instance, internal marketingand human resource management. Based on findings of qualitativeresearch, we present a conceptual model of internal brandingimplementation. Results s...

  15. Implementation and validation of a 1D fluid model for collapsible channels.

    Science.gov (United States)

    Anderson, Peter; Fels, Sidney; Green, Sheldon

    2013-11-01

    A 1D fluid model is implemented for the purpose of fluid-structure interaction (FSI) simulations in complex and completely collapsible geometries, particularly targeting the case of obstructive sleep apnea (OSA). The fluid mechanics are solved separately from any solid mechanics, making possible the use of a highly complex and/or black-box solver for the solid mechanics. The fluid model is temporally discretized with a second-order scheme and spatially discretized with an asymmetrical fourth-order scheme that is robust in highly uneven geometries. A completely collapsing and reopening geometry is handled smoothly using a modified area function. The numerical implementation is tested with two driven-geometry cases: (1) an inviscid analytical solution and (2) a completely closing geometry with viscous flow. Three-dimensional fluid simulations in static geometries are performed to examine the assumptions of the 1D model, and with a well-defined pressure-recovery constant the 1D model agrees well with 3D models. The model is very fast computationally, is robust, and is recommended for OSA simulations where the bulk flow pressure is primarily of interest.

  16. Implementation of polarization processes in a charge transport model applied on poly(ethylene naphthalate) films

    Science.gov (United States)

    Hoang, M.-Q.; Le Roy, S.; Boudou, L.; Teyssedre, G.

    2016-06-01

    One of the difficulties in unravelling transport processes in electrically insulating materials is the fact that the response, notably charging current transients, can have mixed contributions from orientation polarization and from space charge processes. This work aims at identifying and characterizing the polarization processes in a polar polymer in the time and frequency-domains and to implement the contribution of the polarization into a charge transport model. To do so, Alternate Polarization Current (APC) and Dielectric Spectroscopy measurements have been performed on poly(ethylene naphthalene 2,6-dicarboxylate) (PEN), an aromatic polar polymer, providing information on polarization mechanisms in the time- and frequency-domain, respectively. In the frequency-domain, PEN exhibits 3 relaxation processes termed β, β* (sub-glass transitions), and α relaxations (glass transition) in increasing order of temperature. Conduction was also detected at high temperatures. Dielectric responses were treated using a simplified version of the Havriliak-Negami model (Cole-Cole (CC) model), using 3 parameters per relaxation process, these parameters being temperature dependent. The time dependent polarization obtained from the CC model is then added to a charge transport model. Simulated currents issued from the transport model implemented with the polarization are compared with the measured APCs, showing a good consistency between experiments and simulations in a situation where the response comes essentially from dipolar processes.

  17. Technical report on implementation of reactor internal 3D modeling and visual database system

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Yeun Seung; Eom, Young Sam; Lee, Suk Hee; Ryu, Seung Hyun [Korea Atomic Energy Research Institute, Taejon (Korea, Republic of)

    1996-06-01

    In this report was described a prototype of reactor internal 3D modeling and VDB system for NSSS design quality improvement. For improving NSSS design quality several cases of the nuclear developed nation`s integrated computer aided engineering system, such as Mitsubishi`s NUWINGS (Japan), AECL`s CANDID (Canada) and Duke Power`s PASCE (USA) were studied. On the basis of these studies the strategy for NSSS design improvement system was extracted and detail work scope was implemented as follows : 3D modelling of the reactor internals were implemented by using the parametric solid modeler, a prototype system of design document computerization and database was suggested, and walk-through simulation integrated with 3D modeling and VDB was accomplished. Major effects of NSSS design quality improvement system by using 3D modeling and VDB are the plant design optimization by simulation, improving the reliability through the single design database system and engineering cost reduction by improving productivity and efficiency. For applying the VDB to full scope of NSSS system design, 3D modelings of reactor coolant system and nuclear fuel assembly and fuel rod were attached as appendix. 2 tabs., 31 figs., 7 refs. (Author) .new.

  18. Implementing inquiry-based kits within a professional development school model

    Science.gov (United States)

    Jones, Mark Thomas

    2005-07-01

    Implementation of guided inquiry teaching for the first time carries inherent problems for science teachers. Reform efforts on inquiry-based science teaching are often unsustainable and are not sensitive to teachers' needs and abilities as professionals. Professional development schools are meant to provide a research-based partnership between a public school and a university. These collaborations can provide support for the professional development of teachers. This dissertation reports a study focused on the implementation of inquiry-based science kits within the support of one of these collaborations. The researcher describes the difficulties and successful adaptations experienced by science teachers and how a coteaching model provided support. These types of data are needed in order to develop a bottom-up, sustainable process that will allow teachers to implement inquiry-based science. A qualitative methodology with "researcher as participant" was used in this study of two science teachers during 2002--2003. These two teachers were supported by a coteaching model, which included preservice teachers for each teacher as well as a supervising professor. Data were collected from the researcher's direct observations of coteachers' practice. Data were also collected from interviews and reflective pieces from the coteachers. Triangulation of the data on each teacher's case supported the validity of the findings. Case reports were prepared from these data for each classroom teacher. These case reports were used and cross-case analysis was conducted to search for major themes and findings in the study. Major findings described the hurdles teachers encounter, examples of adaptations observed in the teachers' cases and the supportive interactions with their coteachers while implementing the inquiry-based kits. In addition, the data were used to make recommendations for future training and use of the kits and the coteaching model. Results from this study showed that the

  19. A comparison of two coaching approaches to enhance implementation of a recovery-oriented service model.

    Science.gov (United States)

    Deane, Frank P; Andresen, Retta; Crowe, Trevor P; Oades, Lindsay G; Ciarrochi, Joseph; Williams, Virginia

    2014-09-01

    Moving to recovery-oriented service provision in mental health may entail retraining existing staff, as well as training new staff. This represents a substantial burden on organisations, particularly since transfer of training into practice is often poor. Follow-up supervision and/or coaching have been found to improve the implementation and sustainment of new approaches. We compared the effect of two coaching conditions, skills-based and transformational coaching, on the implementation of a recovery-oriented model following training. Training followed by coaching led to significant sustained improvements in the quality of care planning in accordance with the new model over the 12-month study period. No interaction effect was observed between the two conditions. However, post hoc analyses suggest that transformational coaching warrants further exploration. The results support the provision of supervision in the form of coaching in the implementation of a recovery-oriented service model, and suggest the need to better elucidate the mechanisms within different coaching approaches that might contribute to improved care.

  20. MODEL - INTEGRAL METHODOLOGY FOR SUCCESSFUL DESIGNING AND IMPLEMENTING OF TQM SYSTEM IN MACEDONIAN COMPANIES

    Directory of Open Access Journals (Sweden)

    Elizabeta Mitreva

    2011-12-01

    Full Text Available The subject of this paper is linked with the valorization of the meaning and the perspectives of Total Quality Management (TQM system design and implementation within the domestic companies and creating a model-methodology for improved performance, efficiency and effectiveness. The research is designed as an attempt to depict the existing condition in the Macedonian companies regarding quality system design and implementation, analysed through 4 polls in the "house of quality" whose top is the ultimate management, and as its bases measurement, evaluation, analyzing and comparison of the quality are used. This "house" is being held by 4 subsystems e.g. internal standardization, methods and techniques for flawless work performance, education and motivation and analyses of the quality costs. The data received from the research and the proposal of the integral methodology for designing and implementing of TQM system are designed in turn to help and present useful directions to all Macedonian companies tending to become "world class" organizations. The basis in the creation of this model is the redesign of the business processes which afterword begins as a new phase of the business performance - continued improvement, rolling of Deming's Quality Circle (Plan-Do-Check-Act. The model-methodology proposed in this paper is integral and universal which means that it is applicable to all companies regardless of the business area.

  1. Implementation of IEC Generic Model of Type 1 Wind Turbine Generator in DIgSILENT PowerFactory

    DEFF Research Database (Denmark)

    Zhao, Haoran; Wu, Qiuwei; Margaris, Ioannis;

    2013-01-01

    The implementation method for the International Electrotechnical Commission (IEC) generic models of Type 1 wind turbine generator (WTG) in DIgSILENT PowerFactory is presented. The following items are described, i.e. model structure, model blocks and how to implement these blocks in the Power......Factory environment. Case studies under both normal and fault conditions are done with the implemented IEC generic models of Type 1 WTG, and dynamic responses are captured and analyzed. The case study results show that the IEC generic models of Type 1 WTG can correctly represent the performances of Type 1 WTG under...

  2. Implementation of IEC Generic Models of Type 1 Wind Turbine Generator in DIgSILENT PowerFactory

    Institute of Scientific and Technical Information of China (English)

    Haoran ZHAO; Qiuwei WU; Ioannis MARGARIS; Poul S(O)RENSEN

    2013-01-01

    The implementation method for the International Electrotechnical Commission (IEC) generic models of Type 1 wind turbine generator (WTG) in DIgSILENT PowerFactory is presented.The following items are described,i.e.model structure,model blocks and how to implement these blocks in the PowerFactory environment.Case studies under both normal and fault conditions are done with the implemented IEC generic models of Type 1 WTG,and dynamic responses are captured and analyzed.The case study results show that the IEC generic models of Type 1 WTG can correctly represent the performances of Type 1 WTG under both normal and fault conditions.

  3. Calibration and Finite Element Implementation of an Energy-Based Material Model for Shape Memory Alloys

    Science.gov (United States)

    Junker, Philipp; Hackl, Klaus

    2016-06-01

    Numerical simulations are a powerful tool to analyze the complex thermo-mechanically coupled material behavior of shape memory alloys during product engineering. The benefit of the simulations strongly depends on the quality of the underlying material model. In this contribution, we discuss a variational approach which is based solely on energetic considerations and demonstrate that unique calibration of such a model is sufficient to predict the material behavior at varying ambient temperature. In the beginning, we recall the necessary equations of the material model and explain the fundamental idea. Afterwards, we focus on the numerical implementation and provide all information that is needed for programing. Then, we show two different ways to calibrate the model and discuss the results. Furthermore, we show how this model is used during real-life industrial product engineering.

  4. LS-DYNA Implementation of Polymer Matrix Composite Model Under High Strain Rate Impact

    Science.gov (United States)

    Zheng, Xia-Hua; Goldberg, Robert K.; Binienda, Wieslaw K.; Roberts, Gary D.

    2003-01-01

    A recently developed constitutive model is implemented into LS-DYNA as a user defined material model (UMAT) to characterize the nonlinear strain rate dependent behavior of polymers. By utilizing this model within a micromechanics technique based on a laminate analogy, an algorithm to analyze the strain rate dependent, nonlinear deformation of a fiber reinforced polymer matrix composite is then developed as a UMAT to simulate the response of these composites under high strain rate impact. The models are designed for shell elements in order to ensure computational efficiency. Experimental and numerical stress-strain curves are compared for two representative polymers and a representative polymer matrix composite, with the analytical model predicting the experimental response reasonably well.

  5. Calibration and Finite Element Implementation of an Energy-Based Material Model for Shape Memory Alloys

    Science.gov (United States)

    Junker, Philipp; Hackl, Klaus

    2016-09-01

    Numerical simulations are a powerful tool to analyze the complex thermo-mechanically coupled material behavior of shape memory alloys during product engineering. The benefit of the simulations strongly depends on the quality of the underlying material model. In this contribution, we discuss a variational approach which is based solely on energetic considerations and demonstrate that unique calibration of such a model is sufficient to predict the material behavior at varying ambient temperature. In the beginning, we recall the necessary equations of the material model and explain the fundamental idea. Afterwards, we focus on the numerical implementation and provide all information that is needed for programing. Then, we show two different ways to calibrate the model and discuss the results. Furthermore, we show how this model is used during real-life industrial product engineering.

  6. Evaluating the Implementation of the "Pyramid Model for Promoting Social-Emotional Competence" in Early Childhood Classrooms

    Science.gov (United States)

    Hemmeter, Mary Louise; Snyder, Patricia A.; Fox, Lise; Algina, James

    2016-01-01

    We conducted a potential efficacy trial examining the effects of classroom-wide implementation of the "Pyramid Model for Promoting Young Children's Social-Emotional Competence" on teachers' implementation of "Pyramid Model" practices and children's social-emotional skills and challenging behavior. Participants were 40 preschool…

  7. Implementation of draft IEC Generic Model of Type 1 Wind Turbine Generator in PowerFactory and Simulink

    DEFF Research Database (Denmark)

    Zhao, Haoran; Wu, Qiuwei; Sørensen, Poul Ejnar

    2013-01-01

    This paper presents the implementation work of IEC generic model of Type 1 wind turbine generator (WTG) in two commercial simulation tools: DIgSILENT PowerFactory (PF) and Matlab Simulink. The model topology, details of the composite blocks and implementation procedure in PF and Simulink...

  8. Creep-fatigue modelling in structural steels using empirical and constitutive creep methods implemented in a strip-yield model

    Science.gov (United States)

    Andrews, Benjamin J.

    The phenomena of creep and fatigue have each been thoroughly studied. More recently, attempts have been made to predict the damage evolution in engineering materials due to combined creep and fatigue loading, but these formulations have been strictly empirical and have not been used successfully outside of a narrow set of conditions. This work proposes a new creep-fatigue crack growth model based on constitutive creep equations (adjusted to experimental data) and Paris law fatigue crack growth. Predictions from this model are compared to experimental data in two steels: modified 9Cr-1Mo steel and AISI 316L stainless steel. Modified 9Cr-1Mo steel is a high-strength steel used in the construction of pressure vessels and piping for nuclear and conventional power plants, especially for high temperature applications. Creep-fatigue and pure creep experimental data from the literature are compared to model predictions, and they show good agreement. Material constants for the constitutive creep model are obtained for AISI 316L stainless steel, an alloy steel widely used for temperature and corrosion resistance for such components as exhaust manifolds, furnace parts, heat exchangers and jet engine parts. Model predictions are compared to pure creep experimental data, with satisfactory results. Assumptions and constraints inherent in the implementation of the present model are examined. They include: spatial discretization, similitude, plane stress constraint and linear elasticity. It is shown that the implementation of the present model had a non-trivial impact on the model solutions in 316L stainless steel, especially the spatial discretization. Based on these studies, the following conclusions are drawn: 1. The constitutive creep model consistently performs better than the Nikbin, Smith and Webster (NSW) model for predicting creep and creep-fatigue crack extension. 2. Given a database of uniaxial creep test data, a constitutive material model such as the one developed for

  9. Design and implementation of segment oriented spatio-temporal model in urban panoramic maps

    Science.gov (United States)

    Li, Haiting; Fei, Lifan; Peng, Qingshan; Li, Yanhong

    2009-10-01

    Object-oriented spatio-temporal model is directed by human cognition that each object has what/where/when attributes. The precise and flexible structure of such models supports multi-semantics of space and time. This paper reviews current research of spatio-temporal models using object-oriented approach and proposed a new spatio-temporal model based on segmentation in order to resolve the updating problem of some special GIS system by taking advantages of object-oriented spatio-temporal model and adopting category theory. Category theory can be used as a unifying framework for specifying complex systems and it provides rules on how objects may be joined. It characterizes the segments of object through mappings between them. The segment-oriented spatio-temporal model designed for urban panoramic maps is described and implemented. We take points and polylines as objects in this model in the management of panoramic map data. For the randomness of routes which transportation vehicle adopts each time, road objects in this model are split into some segments by crossing points. The segments still remains polyline type, but the splitting makes it easier to update the panoramic data when new photos are captured. This model is capable of eliminating redundant data and accelerating data access when panoramas are unchanged. For evaluation purpose, the data types and operations are designed and implemented in PostgreSQL and the results of experiments come out to prove that this model is efficient and expedient in the application of urban panoramic maps.

  10. A Software Implementation of an Interactive Graphics System for Three Dimensional Modeling and Layout.

    Science.gov (United States)

    1986-03-01

    C programming language and the IRIS Graphics Library on the Silicon Graphics Inc. IRIS Turbo 2400 interactive graphics system. The first part of the research is concerned with drawing, viewing a 3-D building model, and examining interactive techniques required for building walkthrough mechanims. The second part is concerned with the development of techniques necessary to allow the placement of 3-D piping into a 3-D building model using 2-D graphics display and a mouse device. The algorithms and implementation of these techniques are

  11. Modeling and software implementation of flight system for simulator of a new fighter

    Institute of Scientific and Technical Information of China (English)

    SUI Cheng-cheng; YANG Yong-tian; JIA Rong-zhen

    2004-01-01

    Real-time modeling and simulation of flight system are the key parts of simulator. After describing the architecture of simulator for a newer fighter, author presents the composition of flight system and its mathematic models. In this paper, aircraft is regarded as an elastic flight body. And a new integrated algorithm which can remedy the shortcoming of Euler method and four-element method is used to calculate the Eulerian angles of aircraft. Finally, the software implementation of the flight system is given in the paper.

  12. Automatic methods for the refinement of system models from the specification to the implementation

    CERN Document Server

    Seiter, Julia; Drechsler, Rolf

    2017-01-01

    This book provides a comprehensive overview of automatic model refinement, which helps readers close the gap between initial textual specification and its desired implementation. The authors enable readers to follow two “directions” for refinement: Vertical refinement, for adding detail and precision to single description for a given model and Horizontal refinement, which considers several views on one level of abstraction, refining the system specification by dedicated descriptions for structure or behavior. The discussion includes several methods which support designers of electronic systems in this refinement process, including verification methods to check automatically whether a refinement has been conducted as intended.

  13. A Trajectory-Oriented Carriageway-Based Road Network Data Model, Part 3: Implementation

    Institute of Scientific and Technical Information of China (English)

    LI Xiang; LIN Hui

    2006-01-01

    This is the final of a three-part series of papers which mainly discusses the implementation issues of the CRNM. The first two papers in the series have introduced the modeling background and methodology, respectively. An overall architecture of the CRNM has been proposed in the last paper. On the basis of the above discusses, a linear reference method (LRM) for providing spatial references for location points of a trajectory is developed. A case study is introduced to illustrate the application of the CRNM for modeling a road network in the real world is given. A comprehensive conclusion is given for the series of papers.

  14. Implementing an inclusive staffing model for today's reference services a practical guide for librarians

    CERN Document Server

    Nims, Julia K; Stevens, Robert

    2013-01-01

    Reference service remains a core function of modern libraries. However, how and where we provide assistance has evolved with changing technologies and the shifting habits and preferences of our users. One way libraries can provide the on-demand, in-person assistance while managing and developing new services and resources that will benefit current and future users is to reconsider how their reference points and services are staffed and adopt a staff-based reference model. In Implementing an Inclusive Staffing Model for Today's Reference Services, Nims, Storm, and Stevens describe step-by-step

  15. Multipayer patient-centered medical home implementation guided by the chronic care model.

    Science.gov (United States)

    Gabbay, Robert A; Bailit, Michael H; Mauger, David T; Wagner, Edward H; Siminerio, Linda

    2011-06-01

    A unique statewide multipayer ini Pennsylvania was undertaken to implement the Patient-Centered Medical Home (PCMH) guided by the Chronic Care Model (CCM) with diabetes as an initial target disease. This project represents the first broad-scale CCM implementation with payment reform across a diverse range of practice organizations and one of the largest PCMH multipayer initiatives. Practices implemented the CCM and PCMH through regional Breakthrough Series learning collaboratives, supported by Improving Performance in Practice (IPIP) practice coaches, with required monthly quality reporting enhanced by multipayer infrastructure payments. Some 105 practices, representing 382 primary care providers, were engaged in the four regional collaboratives. The practices from the Southeast region of Pennsylvania focused on diabetes patients (n = 10,016). During the first intervention year (May 2008-May 2009), all practices achieved at least Level 1 National Committee for Quality Assurance (NCQA) Physician Practice Connections Patient-Centered Medical Home (PPC-PCMH) recognition. There was significant improvement in the percentage of patients who had evidence-based complications screening and who were on therapies to reduce morbidity and mortality (statins, angiotensin-converting enzyme inhibitors). In addition, there were small but statistically significant improvements in key clinical parameters for blood pressure and cholesterol levels, with the greatest absolute improvement in the highest-risk patients. Transforming primary care delivery through implementation of the PCMH and CCM supported by multipayer infrastructure payments holds significant promise to improve diabetes care.

  16. Credit Risk Modelling and Implementation of Credit Risk Models in China

    OpenAIRE

    Yu, Mengxiao

    2007-01-01

    Credit risk, or the risk of counterparty default, is an important factor in the valuation and risk management of financial assets. It has become increasingly important to financial institutions. A variety of credit risk models have been developed to measure credit risk. They are J.P. Morgan's CreditMetrics; KMV's PortfolioManager based on Merton (1974) option pricing model; macroeconomic model CreditPortfolio View developed by McKinsey; CSFB's Credit Risk+ Model based on actuarial science fra...

  17. Prospects and opportunities the implementation of effective management models at the enterprises of the Russian industry

    Directory of Open Access Journals (Sweden)

    E. S. Balashova

    2016-01-01

    Full Text Available In 2015 the recession of the Russian economy continues. Economic forecasts of 2016 made by influential rating agencies and the International Monetary Fund are analyzed. It is emphasized that the course of structural economic changes, selected by the Russian government actualizes the issue of increasing the competitiveness of Russian industry on a global level that, in turn, contributes to the implementation of effective management models at the enterprises and organization of internal processes. Positively recommended concept of lean production abroad became popular in Russia in early 2000’s. First successful example of its implementation – CJSC “Ford Motor Company” is considered. A large number of enterprises which represent state corporations “Rosteh” and “Rosatom”, industrial group “Basic element”, OJSC “Russian Railways” and which are individual major representatives of the Russian industrial sector are investigated. Different ways of development of lean production by Russian enterprises are analyzed and the most common way – independent interpretation and implementation is identified. Review of the tools of this management model used at the Russian enterprises is paid great attention. The prevalence of such tool as 5S (approximately 87,5%, because of its visible simplicity of understanding and ease of implementation is noted. The most important indicator – the economic effect of the introduction of the lean production concept at the enterprises of Russian industry in 2014 is analyzed. It is concluded that the economic result of the use of management model at Russian industrial enterprises is extremely low and varies at most about 1% of revenue. The obtained results demonstrate the prospects of further development of lean production and prove the possibility of achieving a high competitiveness of the domestic industrial sector of economy.

  18. Photochemical grid model implementation of VOC, NOx, and O3 source apportionment

    Directory of Open Access Journals (Sweden)

    R. H. F. Kwok

    2014-09-01

    Full Text Available For the purposes of developing optimal emissions control strategies, efficient approaches are needed to identify the major sources or groups of sources that contribute to elevated ozone (O3 concentrations. Source based apportionment techniques implemented in photochemical grid models track sources through the physical and chemical processes important to the formation and transport of air pollutants. Photochemical model source apportionment has been used to estimate impacts of specific sources, groups of sources (sectors, sources in specific geographic areas, and stratospheric and lateral boundary inflow on O3. The implementation and application of a source apportionment technique for O3 and its precursors, nitrogen oxides (NOx and volatile organic compounds (VOC, for the Community Multiscale Air Quality (CMAQ model are described here. The Integrated Source Apportionment Method (ISAM O3 approach is a hybrid of source apportionment and source sensitivity in that O3 production is attributed to precursor sources based on O3 formation regime (e.g., for a NOx-sensitive regime, O3 is apportioned to participating NOx emissions. This implementation is illustrated by tracking multiple emissions source sectors and lateral boundary inflow. NOx, VOC, and O3 attribution to tracked sectors in the application are consistent with spatial and temporal patterns of precursor emissions. The O3 ISAM implementation is further evaluated through comparisons of apportioned ambient concentrations and deposition amounts with those derived from brute force zero-out scenarios, with correlation coefficients ranging between 0.58 and 0.99 depending on specific combination of target species and tracked precursor emissions. Low correlation coefficients occur for chemical regimes that have strong non-linearity in O3 sensitivity, which demonstrates different functionalities between source apportionment and zero-out approaches, depending on whether sources of interest are either to

  19. Real-time Process Simulator of Wind Turbine Control Systems. Modelling and Implementation

    Energy Technology Data Exchange (ETDEWEB)

    Van der Hooft, E.L.; Van Engelen, T.G.; Pierik, J.T.G.; Schaak, P. [ECN Wind Energy, Petten (Netherlands)

    2007-06-15

    The development of a real-time simulator for a complete wind turbine system has been carried out for the evaluation of the overall control system. The real-time simulator software has been developed in Matlab/Simulink and supports automated real-time compilation (Real Time Workshop) to a real-time code for use at a hardware platform (dSpace, xPC-target). The following program modules were developed and implemented: efficient integrated linear structural models for the rotor, drive-train and support structure in a working point range; an interpolation method between these models has been derived; non-linear aerodynamic (BEM) and hydrodynamic (Morison) conversion models; a blade effective windspeed model, which account for the rotational sampling of spatial turbulence, for tower shadow and wind shear, and for oblique inflow; a wave generation model (Airy) in order to cope with offshore situations; an electric system model in a rotating reference frame (Park) consisting of a doubly fed induction generator, converter, transformer and cabling; quasi-steady and easy to parametrise models for turbine specific peripheral devices like pumps, motors, valves, brakes, heat exchangers; models of peripheral devices which comprise discontinuous behaviour such as switching and Coulomb friction; generic models for the thermic behaviour of the heat generating systems like gearbox, brake and generator. These subsystem models were integrated in an overall Simulink scheme for time-domain simulation and compilation to real-time code.

  20. Hierarchical modeling and its numerical implementation for layered thin elastic structures

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Jin-Rae [Hongik University, Sejong (Korea, Republic of)

    2017-05-15

    Thin elastic structures such as beam- and plate-like structures and laminates are characterized by the small thickness, which lead to classical plate and laminate theories in which the displacement fields through the thickness are assumed linear or higher-order polynomials. These classical theories are either insufficient to represent the complex stress variation through the thickness or may encounter the accuracy-computational cost dilemma. In order to overcome the inherent problem of classical theories, the concept of hierarchical modeling has been emerged. In the hierarchical modeling, the hierarchical models with different model levels are selected and combined within a structure domain, in order to make the modeling error be distributed as uniformly as possible throughout the problem domain. The purpose of current study is to explore the potential of hierarchical modeling for the effective numerical analysis of layered structures such as laminated composite. For this goal, the hierarchical models are constructed and the hierarchical modeling is implemented by selectively adjusting the level of hierarchical models. As well, the major characteristics of hierarchical models are investigated through the numerical experiments.

  1. Implementation of Localized Ensemble Assimilation for a Three-Dimensional Radiation Belt Model (Invited)

    Science.gov (United States)

    Godinez, H. C.; Chen, Y.; Kellerman, A. C.; Subbotin, D.; Shprits, Y.

    2013-12-01

    Earth's outer radiation belt is very dynamic and energetic electrons therein undergo constant changes due to acceleration, loss, and trans- port processes. In this work we improve the accuracy of simulated electron phase space density (PSD) of the Versatile Electron Radiation Belt (VERB) code, a three-dimensional radiation belt model, by implementing the localized ensemble transform Kalman filter (LETKF) assimilation method. Assimilation methods based on Kalman filtering have been successfully applied to one-dimensional radial diffusion radiation belt models, where it has been shown to greatly improve the model estimation of electron phase space density (PSD). This work expands upon previous research by implementing the LETKF method to assimilate observed electron density into VERB, a three-dimensional radiation belt model. In particular, the LETKF will perform the assimilation locally, where the size of the local region is defined by the diffusion of electrons in the model. This will enable the optimal assimilation of data throughout the model consistently with the flow of electrons. Two sets of assimilation experiments are presented. The first is an identical-twin experiment, where artificial data is generated from the same model, with the purpose of verifying the assimilation method. In the second set of experiments, real PSD observational data from missions such as CRRES and/or the Van Allen Probes are assimilated into VERB. The results show that data assimilation significantly improves the accuracy of the VERB model by efficiently including the available observations at the appropriate pitch angles, energy levels, and L-shell regions throughout the model.

  2. Modeling health impact of global health programs implemented by Population Services International.

    Science.gov (United States)

    Yang, Hongmei; Duvall, Susan; Ratcliffe, Amy; Jeffries, David; Stevens, Warren

    2013-01-01

    Global health implementing organizations benefit most from health impact estimation models that isolate the individual effects of distributed products and services - a feature not typically found in intervention impact models, but which allow comparisons across interventions and intervention settings. Population Services International (PSI), a social marketing organization, has developed a set of impact models covering seven health program areas, which translate product/service distribution data into impact estimates. Each model's primary output is the number of disability-adjusted life-years (DALYs) averted by an intervention within a specific country and population context. This paper aims to describe the structure and inputs for two types of DALYs averted models, considering the benefits and limitations of this methodology. PSI employs two modeling approaches for estimating health impact: a macro approach for most interventions and a micro approach for HIV, tuberculosis (TB), and behavior change communication (BCC) interventions. Within each intervention country context, the macro approach determines the coverage that one product/service unit provides a population in person-years, whereas the micro approach estimates an individual's risk of infection with and without the product/service unit. The models use these estimations to generate per unit DALYs averted coefficients for each intervention. When multiplied by program output data, these coefficients predict the total number of DALYs averted by an intervention in a country. Model outputs are presented by country for two examples: Water Chlorination DALYs Averted Model, a macro model, and the HIV Condom DALYs Averted Model for heterosexual transmission, a micro model. Health impact estimates measured in DALYs averted for PSI interventions on a global level are also presented. The DALYs averted models offer implementing organizations practical measurement solutions for understanding an intervention

  3. The Implementation of an Interdisciplinary Co-planning Team Model Among Mathematics and Science Teachers

    Science.gov (United States)

    Brown, Michelle Cetner

    In recent years, Science, Technology, Engineering, and Mathematics (STEM) education has become a significant focus of numerous theoretical and commentary articles as researchers have advocated for active and conceptually integrated learning in classrooms. Drawing connections between previously isolated subjects, especially mathematics and science, has been shown to increase student engagement, performance, and critical thinking skills. However, obstacles exist to the widespread implementation of integrated curricula in schools, such as teacher knowledge and school structure and culture. The Interdisciplinary Co-planning Team (ICT) model, in which teachers of different subjects come together regularly to discuss connections between content and to plan larger interdisciplinary activities and smaller examples and discussion points, offers a method for teachers to create sustainable interdisciplinary experiences for students within the bounds of the current school structure. The ICT model is designed to be an iterative, flexible model, providing teachers with both a regular time to come together as "experts" and "teach" each other important concepts from their separate disciplines, and then to bring their shared knowledge and language back to their own classrooms to implement with their students in ways that fit their individual classes. In this multiple-case study, which aims to describe the nature of the co-planning process, the nature of plans, and changes in teacher beliefs as a result of co-planning, three pairs of secondary mathematics and science teachers participated in a 10-week intervention with the ICT model. Each pair constituted one case. Data included observations, interviews, and artifact collection. All interviews, whole-group sessions, and co-planning sessions were transcribed and coded using both theory-based and data-based codes. Finally, a cross-case comparison was used to present similarities and differences across cases. Findings suggest that the

  4. Algorithms for a parallel implementation of Hidden Markov Models with a small state space

    DEFF Research Database (Denmark)

    Nielsen, Jesper; Sand, Andreas

    2011-01-01

    Two of the most important algorithms for Hidden Markov Models are the forward and the Viterbi algorithms. We show how formulating these using linear algebra naturally lends itself to parallelization. Although the obtained algorithms are slow for Hidden Markov Models with large state spaces......, they require very little communication between processors, and are fast in practice on models with a small state space. We have tested our implementation against two other imple- mentations on artificial data and observe a speed-up of roughly a factor of 5 for the forward algorithm and more than 6...... for the Viterbi algorithm. We also tested our algorithm in the Coalescent Hidden Markov Model framework, where it gave a significant speed-up....

  5. Development and implementation of (Q)SAR modeling within the CHARMMing web-user interface.

    Science.gov (United States)

    Weidlich, Iwona E; Pevzner, Yuri; Miller, Benjamin T; Filippov, Igor V; Woodcock, H Lee; Brooks, Bernard R

    2015-01-05

    Recent availability of large publicly accessible databases of chemical compounds and their biological activities (PubChem, ChEMBL) has inspired us to develop a web-based tool for structure activity relationship and quantitative structure activity relationship modeling to add to the services provided by CHARMMing (www.charmming.org). This new module implements some of the most recent advances in modern machine learning algorithms-Random Forest, Support Vector Machine, Stochastic Gradient Descent, Gradient Tree Boosting, so forth. A user can import training data from Pubchem Bioassay data collections directly from our interface or upload his or her own SD files which contain structures and activity information to create new models (either categorical or numerical). A user can then track the model generation process and run models on new data to predict activity. © 2014 Wiley Periodicals, Inc.

  6. Integrated ecological-economic fisheries models - evaluation, review and challenges for implementation

    DEFF Research Database (Denmark)

    Nielsen, J. Rasmus; Thunberg, Eric; Holland, Daniel S.

    2017-01-01

    Marine ecosystems evolve under many interconnected and area-specific pressures. In order to fulfill society's intensifying and diversifying needs whilst ensuring ecologically sustainable development, more effective marine spatial planning and broader-scope management of marine resources...... is necessary. Integrated ecological–socioeconomic fisheries models (IESFM) of marine systems are nee¬ded to evaluate impacts and sustainability of potential management actions and understand, and anti¬ci¬pate ecological, economic, and social dynamics at a range of scales from local to national and regional....... To make these models most effective, it is important to determine how model characteristics and methods of communicating results influence the model implementation, the nature of the advice that can be provided and the impact on decisions taken by managers. This paper presents a global review...

  7. Modelling and Practical Implementation of 2-Coil Wireless Power Transfer Systems

    Directory of Open Access Journals (Sweden)

    Hong Zhou

    2014-01-01

    Full Text Available Wireless power transfer (WPT based on inductive coupling could be potentially applied in many practical applications. It has attracted a lot of research interests in the last few years. In this paper, the modelling, design, and implementation of a 2-coil WPT system are represented. The prototype system can be implemented using conventional power electronic devices such as MOSFETs with very low costs as it works in relative low frequency range (less than 1 MHz. In order to find out about the optimal working area for the WPT system, the circuit model based on the practical parameters from the prototype is built. The relationships between the exciting frequency, coupling, and output power are analyzed based on the circuit and magnetic principles. Apart from the theoretic study, the detailed implementation of the WPT prototype including the coil design, digital frequency generation, and high frequency power electronics is also introduced in this paper. Experiments are conducted to verify the effectiveness of the circuit analysis. By carefully tuning the circuit parameters, the prototype is able to deliver 20 W power through 2.2 meter distance with 20–30% efficiency.

  8. Implementation of a cost-accounting model in a biobank: practical implications.

    Science.gov (United States)

    Gonzalez-Sanchez, Maria Beatriz; Lopez-Valeiras, Ernesto; García-Montero, Andres C

    2014-01-01

    Given the state of global economy, cost measurement and control have become increasingly relevant over the past years. The scarcity of resources and the need to use these resources more efficiently is making cost information essential in management, even in non-profit public institutions. Biobanks are no exception. However, no empirical experiences on the implementation of cost accounting in biobanks have been published to date. The aim of this paper is to present a step-by-step implementation of a cost-accounting tool for the main production and distribution activities of a real/active biobank, including a comprehensive explanation on how to perform the calculations carried out in this model. Two mathematical models for the analysis of (1) production costs and (2) request costs (order management and sample distribution) have stemmed from the analysis of the results of this implementation, and different theoretical scenarios have been prepared. Global analysis and discussion provides valuable information for internal biobank management and even for strategic decisions at the research and development governmental policies level.

  9. ICON-ART-ISO: Water isotopologues implemented in the chemistry- transport model ICON-ART

    Science.gov (United States)

    Eckstein, Johannes; Ruhnke, Roland; Reinert, Daniel; Pfahl, Stephan

    2017-04-01

    Stable isotopes of water can help to understand processes that have influenced the distribution of water in the atmosphere. Isotope enabled models, capable of simulating the distribution of HDO and H218O, can be a very useful tool for understanding these processes and the distribution of isotope ratios which are observed. We present ICON-ART-ISO, the implementation of water isotopes into the chemistry-transport model ICON-ART. The core of this global model is the ICOsahedral Non-hydrostatic (ICON) modelling framework (Zaengl et al, 2015 (Q. J. R. Meteorol. Soc.)), a joint development of the German Weather Service (DWD) and the Max Planck Institute for Meteorology. The model system ICON-ART (Aerosols and Reactive Trace gases, Rieger et al, 2015 (GMD)) is a two-way coupled extension to ICON, which allows to study the influence of aerosols, trace gases and their chemistry on the atmosphere. We set up ICON-ART-ISO within this framework, profitting from the model infrastructure. We follow the implementation of COSMOiso (Pfahl et al., 2012 (ACP)), the isotope-enabled version of the COSMO model, the predecessor of ICON. In order to include the isotopes in the model, the water cycle is doubled diagnostically for each isotope. By the choice of physical parameters, these modelled isotopes are set to HDO and H218O, but the simulation of a purely diagnostic H2O is also possible. Fractionation, i.e. the change of the isotope ratio changes during phase changes, is considered in evaporation, grid-scale precipitation and convection. For the source of evaporation, a constant isotope ratio is currently used. To consider grid scale precipitation, the processes in the two-moment microphysical scheme by Seifert and Beheng, 2005 (Meteorol. Atmos. Phys.) are diagnostically applied to the isotopes. For convection, the Tiedtke-Bechtold scheme (Bechtold et al., 2013 (JAS)) is used. We present the current status of the model system. All processes have been implemented and we show first

  10. Implementation of window shading models into dynamic whole-building simulation

    Science.gov (United States)

    Lomanowski, Bartosz Aleksander

    An important consideration in energy efficient building design is the management of solar gain, as it is the largest and most variable gain in a building. The design of buildings with highly glazed facades, as well as decreased energy transfer rates through better insulated and tighter envelopes are causing interior spaces to become highly sensitive to solar gain. Shading devices such as operable slat-type louver blinds are very effective in controlling solar gain, yet their impact on peak cooing loads and annual energy consumption is poorly understood. With the ever-increasing role of building energy simulation tools in the design of energy efficient buildings, there is a clear need to model windows with shading devices to assess their impact on building performance. Recent efforts at the University of Waterloo's Advanced Glazing Systems Laboratory (AGSL) in window shading research have produced a set of flexible shading models. These models were developed with emphasis on generality and computational efficiency, ideally suited for integration into building simulation. The objective of the current research is to develop a complex fenestration facility within a general purpose integrated building simulation software tool, ESP-r, using the AGSL shading models. The strategy for implementation of the AGSL shading models is the addition of a new multi-layer construction within ESP-r, the Complex Fenestration Construction (CFC). The CFC is based on the standard ESP-r multi-layer nodal structure and finite control volume numerical model, with additional measures for coping with the complexities that arise in the solar, convective and radiant exchanges between glazing/shading layers, the interior zone and exterior surroundings. The CFC algorithms process the solar, convective and radiant properties of the glazing/shading system at each time-step, making it possible to add control (e.g., changing the slat angle of a slat-type blind) at the time-step level. Thermal

  11. Using Video Modeling with Voiceover Instruction Plus Feedback to Train Staff to Implement Direct Teaching Procedures.

    Science.gov (United States)

    Giannakakos, Antonia R; Vladescu, Jason C; Kisamore, April N; Reeve, Sharon A

    2016-06-01

    Direct teaching procedures are often an important part of early intensive behavioral intervention for consumers with autism spectrum disorder. In the present study, a video model with voiceover (VMVO) instruction plus feedback was evaluated to train three staff trainees to implement a most-to-least direct (MTL) teaching procedure. Probes for generalization were conducted with untrained direct teaching procedures (i.e., least-to-most, prompt delay) and with an actual consumer. The results indicated that VMVO plus feedback was effective in training the staff trainees to implement the MTL procedure. Although additional feedback was required for the staff trainees to show mastery of the untrained direct teaching procedures (i.e., least-to-most and prompt delay) and with an actual consumer, moderate to high levels of generalization were observed.

  12. elrm: Software Implementing Exact-Like Inference for Logistic Regression Models

    Directory of Open Access Journals (Sweden)

    David Zamar

    2007-09-01

    Full Text Available Exact inference is based on the conditional distribution of the sufficient statistics for the parameters of interest given the observed values for the remaining sufficient statistics. Exact inference for logistic regression can be problematic when data sets are large and the support of the conditional distribution cannot be represented in memory. Additionally, these methods are not widely implemented except in commercial software packages such as LogXact and SAS. Therefore, we have developed elrm, software for R implementing (approximate exact inference for binomial regression models from large data sets. We provide a description of the underlying statistical methods and illustrate the use of elrm with examples. We also evaluate elrm by comparing results with those obtained using other methods.

  13. South African, Rural ICT Implementation: a critical retrospective application of Latour's due process model

    Directory of Open Access Journals (Sweden)

    Jo Rhodes

    2004-05-01

    Full Text Available The potential developmental role of ICTs can pressurise governments to engage in ‘catch up’ and ‘leapfrog’. Consequently, analysis of the accompanying socio-political dimensions and risks can be, disastrously, neglected. This paper examines a specific technology implementation – a South African government sponsored telecentre using Latour’s Due Process model, an analytical tool grounded in Actor-Network Theory, where technology implementation is viewed as a symmetrical treatment of technology and society within a single collective. It is used here, retrospectively, to make sense of why the telecentre both failed to institutionalise within a successful actor-network, and, contributed to the destabilization and partial destruction of a successfully established women’s development organisation.

  14. Linearized model Fokker-Planck collision operators for gyrokinetic simulations. II. Numerical implementation and tests

    CERN Document Server

    Barnes, M; Dorland, W; Ernst, D R; Hammett, G W; Ricci, P; Rogers, B N; Schekochihin, A A; Tatsuno, T

    2008-01-01

    A set of key properties for an ideal dissipation scheme in gyrokinetic simulations is proposed, and implementation of a model collision operator satisfying these properties is described. This operator is based on the exact linearized test-particle collision operator, with approximations to the field-particle terms that preserve conservation laws and an H-Theorem. It includes energy diffusion, pitch-angle scattering, and finite Larmor radius effects corresponding to classical (real-space) diffusion. The numerical implementation in the continuum gyrokinetic code GS2 is fully implicit and guarantees exact satisfaction of conservation properties. Numerical results are presented showing that the correct physics is captured over the entire range of collisionalities, from the collisionless to the strongly collisional regimes, without recourse to artificial dissipation.

  15. Providing a Model for Successful Implementation of Customer Relationship Management (Case Study: Zahedan Industrial City

    Directory of Open Access Journals (Sweden)

    Amin-Reza Kamalian

    2013-05-01

    Full Text Available This study presents a model for Successful Implementation of Customer Relationship Management (CRM for small and medium-sized enterprises (SMEs in Zahedan industrial city. Having extensive theoretical study, the factors influencing the success of customer relationship management were identified. Using a standard questionnaire with reliability of 96.2 percent (Cronbach's alpha coefficient, existing and desired situations of these factors were compared by experts' point of view. Research population consists of industrialists and professionals in Zahedan industrial city. Because of small population size, data obtained by the entire population; i.e. 54 companies. This applied study is in descriptive-analytical type. Data analysis was performed using SPSS software. Results indicated that all factors affecting the success of implementing customer relationship management, except technology, are used in these companies.

  16. Implementation of Newton-Rapshon iterations for parallel staggered-grid geodynamic models

    Science.gov (United States)

    Popov, A. A.; Kaus, B. J. P.

    2012-04-01

    Staggered-grid finite differences discretization has a good potential for solving highly heterogeneous geodynamic models on parallel computers (e.g. Tackey, 2008; Gerya &Yuen, 2007). They are inherently stable, computationally inexpensive and relatively easy to implement. However, currently used staggered-grid geodynamic codes employ almost exclusively the sub-optimal Picard linearization scheme to deal with nonlinearities. It was shown that Newton-Rapshon linearization can lead to substantial improvements of the solution quality in geodynamic problems, simultaneously with reduction of computer time (e.g. Popov & Sobolev, 2008). This work is aimed at implementation of the Newton-Rapshon linearization in the parallel geodynamic code LaMEM together with staggered-grid discretization and viso-(elasto)-plastic rock rheologies. We present the expressions for the approximate Jacobian matrix, and give detailed comparisons with the currently employed Picard linearization scheme, in terms of solution quality and number of iterations.

  17. Modeling and Implementation of Reliable Ternary Arithmetic and Logic Unit Design Using Vhdl

    Directory of Open Access Journals (Sweden)

    Meruva Kumar Raja

    2014-06-01

    Full Text Available Multivalve logic is a reliable method for defining, analyzing, testing and implementing the basic combinational circuitry with VHDL simulator. It offers better utilization of transmission channels because of its high speed for higher information carried out and it gives more efficient performance. One of the main realizing of the MVL (ternary logic is that reduces the number of required computation steps, simplicity and energy efficiency in digital logic design. This paper using reliable method is brought out for implementing the basic combinational, sequential and TALU (Ternary Arithmetic and Logic Unit circuitry with minimum number of ternary switching circuits (Multiplexers. In this the potential of VHDL modelling and simulation that can be applied to ternary switching circuits to verify its functionality and timing specifications. An intention is to show how proposed simulator can be used to simulate MVL circuits and to evaluate system performance.

  18. Improving pain care through implementation of the Stepped Care Model at a multisite community health center

    Directory of Open Access Journals (Sweden)

    Anderson DR

    2016-11-01

    Full Text Available Daren R Anderson,1 Ianita Zlateva,1 Emil N Coman,2 Khushbu Khatri,1 Terrence Tian,1 Robert D Kerns3 1Weitzman Institute, Community Health Center, Inc., Middletown, 2UCONN Health Disparities Institute, University of Connecticut, Farmington, 3VA Connecticut Healthcare System, West Haven, CT, USA Purpose: Treating pain in primary care is challenging. Primary care providers (PCPs receive limited training in pain care and express low confidence in their knowledge and ability to manage pain effectively. Models to improve pain outcomes have been developed, but not formally implemented in safety net practices where pain is particularly common. This study evaluated the impact of implementing the Stepped Care Model for Pain Management (SCM-PM at a large, multisite Federally Qualified Health Center. Methods: The Promoting Action on Research Implementation in Health Services framework guided the implementation of the SCM-PM. The multicomponent intervention included: education on pain care, new protocols for pain assessment and management, implementation of an opioid management dashboard, telehealth consultations, and enhanced onsite specialty resources. Participants included 25 PCPs and their patients with chronic pain (3,357 preintervention and 4,385 postintervention cared for at Community Health Center, Inc. Data were collected from the electronic health record and supplemented by chart reviews. Surveys were administered to PCPs to assess knowledge, attitudes, and confidence. Results: Providers’ pain knowledge scores increased to an average of 11% from baseline; self-rated confidence in ability to manage pain also increased. Use of opioid treatment agreements and urine drug screens increased significantly by 27.3% and 22.6%, respectively. Significant improvements were also noted in documentation of pain, pain treatment, and pain follow-up. Referrals to behavioral health providers for patients with pain increased by 5.96% (P=0.009. There was no

  19. Earth Observations, Models and Geo-Design in Support of SDG Implementation and Monitoring

    Science.gov (United States)

    Plag, H. P.; Jules-Plag, S.

    2016-12-01

    Implementation and Monitoring of the United Nations' Sustainable Development Goals (SDGs) requires support from Earth observation and scientific communities. Applying a goal-based approach to determine the data needs to the Targets and Indicators associated with the SDGs demonstrates that integration of environmental with socio-economic and statistical data is required. Large data gaps exist for the built environment. A Geo-Design platform can provide the infrastructure and conceptual model for the data integration. The development of policies and actions to foster the implementation of SDGs in many cases requires research and the development of tools to answer "what if" questions. Here, agent-based models and model webs combined with a Geo-Design platform are promising avenues. This advanced combined infrastructure can also play a crucial role in the necessary capacity building. We will use the example of SDG 5 (Gender equality) to illustrate these approaches. SDG 11 (Sustainable Cities and Communities) is used to underline the cross-goal linkages and the joint benefits of Earth observations, data integration, and modeling tools for multiple SDGs.

  20. A comprehensive model to evaluate implementation of the world health organization framework convention of tobacco control.

    Science.gov (United States)

    Sarrafzadegan, Nizal; Kelishad, Roya; Rabiei, Katayoun; Abedi, Heidarali; Mohaseli, Khadijeh Fereydoun; Masooleh, Hasan Azaripour; Alavi, Mousa; Heidari, Gholamreza; Ghaffari, Mostafa; O'Loughlin, Jennifer

    2012-03-01

    Iran is one of the countries that has ratified the World Health Organization Framework Convention of Tobacco Control (WHO-FCTC), and has implemented a series of tobacco control interventions including the Comprehensive Tobacco Control Law. Enforcement of this legislation and assessment of its outcome requires a dedicated evaluation system. This study aimed to develop a generic model to evaluate the implementation of the Comprehensive Tobacco Control Law in Iran that was provided based on WHO-FCTC articles. Using a grounded theory approach, qualitative data were collected from 265 subjects in individual interviews and focus group discussions with policymakers who designed the legislation, key stakeholders, and members of the target community. In addition, field observations data in supermarkets/shops, restaurants, teahouses and coffee shops were collected. Data were analyzed in two stages through conceptual theoretical coding. Overall, 617 open codes were extracted from the data into tables; 72 level-3 codes were retained from the level-2 code series. Using a Model Met paradigm, the relationships between the components of each paradigm were depicted graphically. The evaluation model entailed three levels, namely: short-term results, process evaluation and long-term results. Central concept of the process of evaluation is that enforcing the law influences a variety of internal and environmental factors including legislative changes. These factors will be examined during the process evaluation and context evaluation. The current model can be applicable for providing FCTC evaluation tools across other jurisdictions.

  1. Implementation and evaluation of an array of chemical solvers in a global chemical transport model

    Directory of Open Access Journals (Sweden)

    M. Lee

    2009-03-01

    Full Text Available This paper discusses the implementation and performance of an array of gas-phase chemistry solvers for the state-of-the-science GEOS-Chem global chemical transport model. The implementation is based on the Kinetic PreProcessor (KPP. Two perl parsers automatically generate the needed interfaces between GEOS-Chem and KPP, and allow access to the chemical simulation code without any additional programming effort. This work illustrates the potential of KPP to positively impact global chemical transport modeling by providing additional functionality as follows. (1 The user can select a highly efficient numerical integration method from an array of solvers available in the KPP library. (2 KPP offers extreme flexibility for studies that involve changing the chemical mechanism (e.g., a set of additional reactions is automatically translated into efficient code and incorporated into a modified global model. (3 This work provides immediate access to tangent linear, continuous adjoint, and discrete adjoint chemical models, with applications to sensitivity analysis and data assimilation.

  2. Implementation and Re nement of a Comprehensive Model for Dense Granular Flows

    Energy Technology Data Exchange (ETDEWEB)

    Sundaresan, Sankaran [The Trustees Of Princeton University, Princeton, NJ (United States)

    2015-09-30

    Dense granular ows are ubiquitous in both natural and industrial processes. They manifest three di erent ow regimes, each exhibiting its own dependence on solids volume fraction, shear rate, and particle-level properties. This research project sought to develop continuum rheological models for dense granular ows that bridges multiple regimes of ow, implement them in open-source platforms for gas-particle ows and perform test simulations. The rst phase of the research covered in this project involved implementation of a steady- shear rheological model that bridges quasi-static, intermediate and inertial regimes of ow into MFIX (Multiphase Flow with Interphase eXchanges - a general purpose computer code developed at the National Energy Technology Laboratory). MFIX simulations of dense granular ows in hourglass-shaped hopper were then performed as test examples. The second phase focused on formulation of a modi ed kinetic theory for frictional particles that can be used over a wider range of particle volume fractions and also apply for dynamic, multi- dimensional ow conditions. To guide this work, simulations of simple shear ows of identical mono-disperse spheres were also performed using the discrete element method. The third phase of this project sought to develop and implement a more rigorous treatment of boundary e ects. Towards this end, simulations of simple shear ows of identical mono-disperse spheres con ned between parallel plates were performed and analyzed to formulate compact wall boundary conditions that can be used for dense frictional ows at at frictional boundaries. The fourth phase explored the role of modest levels of cohesive interactions between particles on the dense phase rheology. The nal phase of this project focused on implementation and testing of the modi ed kinetic theory in MFIX and running bin-discharge simulations as test examples.

  3. Model for defining the level of implementation of the management functions in small enterprises

    Directory of Open Access Journals (Sweden)

    Dragan Mišetić

    2001-01-01

    Full Text Available Small enterprises, based on private ownership and entrepreneurial capability, represent, for the majority of the scientific and professional public, the prime movers of economic growth, both in developed market economies and in the economies of countries in transition. At the same time, various studies show that the main reason for the bankruptcy of many small enterprises (more than 90% can be found in weak management, i.e. unacquaintance with management functions (planning, organization, human resources management, leading and control and with the need of implementing those functions in practice. Although it is not easy to define the ingredients of the recipe for success or to define precisely the importance of different elements, and regardless of the fact that many authors think that the management theory for large enterprises is inapplicable for the small ones, we all agree that the owner/manager and his implementation of the management theory has a decisive influence on small enterprises in modern economic circumstances. Therefore, the author of this work is hereby representing the model, which defines the level of implementation of management functions in small enterprises, as well as three systems/levels (danger, risk, progress in which small enterprises may find themselves. After the level of implementation of the management function is identified, it is possible to undertake some corrective actions, which will remove the found failures. While choosing the variables of the model, the author took into consideration specific features of a small enterprise, as well as specific features of its owner/manager.

  4. Implementing model-based system engineering for the whole lifecycle of a spacecraft

    Science.gov (United States)

    Fischer, P. M.; Lüdtke, D.; Lange, C.; Roshani, F.-C.; Dannemann, F.; Gerndt, A.

    2017-09-01

    Design information of a spacecraft is collected over all phases in the lifecycle of a project. A lot of this information is exchanged between different engineering tasks and business processes. In some lifecycle phases, model-based system engineering (MBSE) has introduced system models and databases that help to organize such information and to keep it consistent for everyone. Nevertheless, none of the existing databases approached the whole lifecycle yet. Virtual Satellite is the MBSE database developed at DLR. It has been used for quite some time in Phase A studies and is currently extended for implementing it in the whole lifecycle of spacecraft projects. Since it is unforeseeable which future use cases such a database needs to support in all these different projects, the underlying data model has to provide tailoring and extension mechanisms to its conceptual data model (CDM). This paper explains the mechanisms as they are implemented in Virtual Satellite, which enables extending the CDM along the project without corrupting already stored information. As an upcoming major use case, Virtual Satellite will be implemented as MBSE tool in the S2TEP project. This project provides a new satellite bus for internal research and several different payload missions in the future. This paper explains how Virtual Satellite will be used to manage configuration control problems associated with such a multi-mission platform. It discusses how the S2TEP project starts using the software for collecting the first design information from concurrent engineering studies, then making use of the extension mechanisms of the CDM to introduce further information artefacts such as functional electrical architecture, thus linking more and more processes into an integrated MBSE approach.

  5. Implementing model-based system engineering for the whole lifecycle of a spacecraft

    Science.gov (United States)

    Fischer, P. M.; Lüdtke, D.; Lange, C.; Roshani, F.-C.; Dannemann, F.; Gerndt, A.

    2017-07-01

    Design information of a spacecraft is collected over all phases in the lifecycle of a project. A lot of this information is exchanged between different engineering tasks and business processes. In some lifecycle phases, model-based system engineering (MBSE) has introduced system models and databases that help to organize such information and to keep it consistent for everyone. Nevertheless, none of the existing databases approached the whole lifecycle yet. Virtual Satellite is the MBSE database developed at DLR. It has been used for quite some time in Phase A studies and is currently extended for implementing it in the whole lifecycle of spacecraft projects. Since it is unforeseeable which future use cases such a database needs to support in all these different projects, the underlying data model has to provide tailoring and extension mechanisms to its conceptual data model (CDM). This paper explains the mechanisms as they are implemented in Virtual Satellite, which enables extending the CDM along the project without corrupting already stored information. As an upcoming major use case, Virtual Satellite will be implemented as MBSE tool in the S2TEP project. This project provides a new satellite bus for internal research and several different payload missions in the future. This paper explains how Virtual Satellite will be used to manage configuration control problems associated with such a multi-mission platform. It discusses how the S2TEP project starts using the software for collecting the first design information from concurrent engineering studies, then making use of the extension mechanisms of the CDM to introduce further information artefacts such as functional electrical architecture, thus linking more and more processes into an integrated MBSE approach.

  6. Development and Implementation of CFD-Informed Models for the Advanced Subchannel Code CTF

    Energy Technology Data Exchange (ETDEWEB)

    Blyth, Taylor S. [Pennsylvania State Univ., University Park, PA (United States); Avramova, Maria [North Carolina State Univ., Raleigh, NC (United States)

    2017-04-01

    The research described in this PhD thesis contributes to the development of efficient methods for utilization of high-fidelity models and codes to inform low-fidelity models and codes in the area of nuclear reactor core thermal-hydraulics. The objective is to increase the accuracy of predictions of quantities of interests using high-fidelity CFD models while preserving the efficiency of low-fidelity subchannel core calculations. An original methodology named Physics- based Approach for High-to-Low Model Information has been further developed and tested. The overall physical phenomena and corresponding localized effects, which are introduced by the presence of spacer grids in light water reactor (LWR) cores, are dissected in corresponding four building basic processes, and corresponding models are informed using high-fidelity CFD codes. These models are a spacer grid-directed cross-flow model, a grid-enhanced turbulent mixing model, a heat transfer enhancement model, and a spacer grid pressure loss model. The localized CFD-models are developed and tested using the CFD code STAR-CCM+, and the corresponding global model development and testing in sub-channel formulation is performed in the thermal- hydraulic subchannel code CTF. The improved CTF simulations utilize data-files derived from CFD STAR-CCM+ simulation results covering the spacer grid design desired for inclusion in the CTF calculation. The current implementation of these models is examined and possibilities for improvement and further development are suggested. The validation experimental database is extended by including the OECD/NRC PSBT benchmark data. The outcome is an enhanced accuracy of CTF predictions while preserving the computational efficiency of a low-fidelity subchannel code.

  7. The backbone of a City Information Model (CIM): Implementing a spatial data model for urban design

    NARCIS (Netherlands)

    Gil, J.A.; Almeida, J.; Duarte, J.P.

    2011-01-01

    We have been witnessing an increased interest in a more holistic approach to urban design practice and education. In this paper we present a spatial data model for urban design that proposes the combination of urban environment feature classes with design process feature classes. This data model is

  8. Modeling Urban Dynamics Using Random Forest: Implementing Roc and Toc for Model Evaluation

    Science.gov (United States)

    Ahmadlou, M.; Delavar, M. R.; Shafizadeh-Moghadam, H.; Tayyebi, A.

    2016-06-01

    The importance of spatial accuracy of land use/cover change maps necessitates the use of high performance models. To reach this goal, calibrating machine learning (ML) approaches to model land use/cover conversions have received increasing interest among the scholars. This originates from the strength of these techniques as they powerfully account for the complex relationships underlying urban dynamics. Compared to other ML techniques, random forest has rarely been used for modeling urban growth. This paper, drawing on information from the multi-temporal Landsat satellite images of 1985, 2000 and 2015, calibrates a random forest regression (RFR) model to quantify the variable importance and simulation of urban change spatial patterns. The results and performance of RFR model were evaluated using two complementary tools, relative operating characteristics (ROC) and total operating characteristics (TOC), by overlaying the map of observed change and the modeled suitability map for land use change (error map). The suitability map produced by RFR model showed 82.48% area under curve for the ROC model which indicates a very good performance and highlights its appropriateness for simulating urban growth.

  9. The backbone of a City Information Model (CIM): Implementing a spatial data model for urban design

    NARCIS (Netherlands)

    Gil, J.A.; Almeida, J.; Duarte, J.P.

    2011-01-01

    We have been witnessing an increased interest in a more holistic approach to urban design practice and education. In this paper we present a spatial data model for urban design that proposes the combination of urban environment feature classes with design process feature classes. This data model is

  10. Extended kalman filter for estimation of parameters in nonlinear state-space models of biochemical networks.

    Science.gov (United States)

    Sun, Xiaodian; Jin, Li; Xiong, Momiao

    2008-01-01

    It is system dynamics that determines the function of cells, tissues and organisms. To develop mathematical models and estimate their parameters are an essential issue for studying dynamic behaviors of biological systems which include metabolic networks, genetic regulatory networks and signal transduction pathways, under perturbation of external stimuli. In general, biological dynamic systems are partially observed. Therefore, a natural way to model dynamic biological systems is to employ nonlinear state-space equations. Although statistical methods for parameter estimation of linear models in biological dynamic systems have been developed intensively in the recent years, the estimation of both states and parameters of nonlinear dynamic systems remains a challenging task. In this report, we apply extended Kalman Filter (EKF) to the estimation of both states and parameters of nonlinear state-space models. To evaluate the performance of the EKF for parameter estimation, we apply the EKF to a simulation dataset and two real datasets: JAK-STAT signal transduction pathway and Ras/Raf/MEK/ERK signaling transduction pathways datasets. The preliminary results show that EKF can accurately estimate the parameters and predict states in nonlinear state-space equations for modeling dynamic biochemical networks.

  11. Nonlinear shear behavior of rock joints using a linearized implementation of the Barton–Bandis model

    Directory of Open Access Journals (Sweden)

    Simon Heru Prassetyo

    2017-08-01

    Full Text Available Experiments on rock joint behaviors have shown that joint surface roughness is mobilized under shearing, inducing dilation and resulting in nonlinear joint shear strength and shear stress vs. shear displacement behaviors. The Barton–Bandis (BB joint model provides the most realistic prediction for the nonlinear shear behavior of rock joints. The BB model accounts for asperity roughness and strength through the joint roughness coefficient (JRC and joint wall compressive strength (JCS parameters. Nevertheless, many computer codes for rock engineering analysis still use the constant shear strength parameters from the linear Mohr–Coulomb (M−C model, which is only appropriate for smooth and non-dilatant joints. This limitation prevents fractured rock models from capturing the nonlinearity of joint shear behavior. To bridge the BB and the M−C models, this paper aims to provide a linearized implementation of the BB model using a tangential technique to obtain the equivalent M−C parameters that can satisfy the nonlinear shear behavior of rock joints. These equivalent parameters, namely the equivalent peak cohesion, friction angle, and dilation angle, are then converted into their mobilized forms to account for the mobilization and degradation of JRC under shearing. The conversion is done by expressing JRC in the equivalent peak parameters as functions of joint shear displacement using proposed hyperbolic and logarithmic functions at the pre- and post-peak regions of shear displacement, respectively. Likewise, the pre- and post-peak joint shear stiffnesses are derived so that a complete shear stress-shear displacement relationship can be established. Verifications of the linearized implementation of the BB model show that the shear stress-shear displacement curves, the dilation behavior, and the shear strength envelopes of rock joints are consistent with available experimental and numerical results.

  12. Development, implementation and evaluation of an information model for archetype based user responsive medical data visualization.

    Science.gov (United States)

    Kopanitsa, Georgy; Veseli, Hasan; Yampolsky, Vladimir

    2015-06-01

    When medical data have been successfully recorded or exchanged between systems there appear a need to present the data consistently to ensure that it is clearly understood and interpreted. A standard based user interface can provide interoperability on the visual level. The goal of this research was to develop, implement and evaluate an information model for building user interfaces for archetype based medical data. The following types of knowledge were identified as important elements and were included in the information model: medical content related attributes, data type related attributes, user-related attributes, device-related attributes. In order to support flexible and efficient user interfaces an approach that represents different types of knowledge with different models separating the medical concept from a visual concept and interface realization was chosen. We evaluated the developed approach using Guideline for Good Evaluation Practice in Health Informatics (GEP-HI). We developed a higher level information model to complement the ISO 13606 archetype model. This enabled the specification of the presentation properties at the moment of the archetypes' definition. The model allows realizing different users' perspectives on the data. The approach was implemented and evaluated within a functioning EHR system. The evaluation involved 30 patients of different age and IT experience and 5 doctors. One month of testing showed that the time required reading electronic health records decreased for both doctors (from average 310 to 220s) and patients (from average 95 to 39s). Users reported a high level of satisfaction and motivation to use the presented data visualization approach especially in comparison with their previous experience. The introduced information model allows separating medical knowledge and presentation knowledge. The additional presentation layer will enrich the graphical user interface's flexibility and will allow an optimal presentation of

  13. A Numerical Implementation of a Nonlinear Mild Slope Model for Shoaling Directional Waves

    Directory of Open Access Journals (Sweden)

    Justin R. Davis

    2014-02-01

    Full Text Available We describe the numerical implementation of a phase-resolving, nonlinear spectral model for shoaling directional waves over a mild sloping beach with straight parallel isobaths. The model accounts for non-linear, quadratic (triad wave interactions as well as shoaling and refraction. The model integrates the coupled, nonlinear hyperbolic evolution equations that describe the transformation of the complex Fourier amplitudes of the deep-water directional wave field. Because typical directional wave spectra (observed or produced by deep-water forecasting models such as WAVEWATCH III™ do not contain phase information, individual realizations are generated by associating a random phase to each Fourier mode. The approach provides a natural extension to the deep-water spectral wave models, and has the advantage of fully describing the shoaling wave stochastic process, i.e., the evolution of both the variance and higher order statistics (phase correlations, the latter related to the evolution of the wave shape. The numerical implementation (a Fortran 95/2003 code includes unidirectional (shore-perpendicular propagation as a special case. Interoperability, both with post-processing programs (e.g., MATLAB/Tecplot 360 and future model coupling (e.g., offshore wave conditions from WAVEWATCH III™, is promoted by using NetCDF-4/HD5 formatted output files. The capabilities of the model are demonstrated using a JONSWAP spectrum with a cos2s directional distribution, for shore-perpendicular and oblique propagation. The simulated wave transformation under combined shoaling, refraction and nonlinear interactions shows the expected generation of directional harmonics of the spectral peak and of infragravity (frequency <0.05 Hz waves. Current development efforts focus on analytic testing, development of additional physics modules essential for applications and validation with laboratory and field observations.

  14. Implementation of the TEPLA Damage Model in a 3D Eulerian Hydrocode

    Science.gov (United States)

    Holian, Kathleen S.; Clancy, Sean P.; Maudlin, Paul J.

    2007-06-01

    A sophisticated damage model (TEPLA) has been implemented into a three-dimensional (Cartesian) computer code (Pagosa) used here at Los Alamos National Laboratory. TEPLA was originally an isotropic damage model based upon the Gurson flow surface (a potential function used in conjunction with the associated flow law) that models damage due to both porosity growth and plastic strain. It has since been modified to model anisotropic elastoplastic material strength as well. Pagosa is an Eulerian hydrodynamics code that has the following special features: a predictor-corrector Lagrangian step that advances the state variables in time, a high-order advection algorithm that remaps the problem back to the original mesh every time step, and a material interface tracking scheme with van Leer monotonic advection. It also includes a variety of equation of state, strength, fracture, and high explosive burn models. We will describe the physics of the TEPLA model (that models both strength and damage) and will show preliminary results of test problems that are used to validate the model. The four test problems (simple shear, stretching rod, Taylor anvil, and plate impact) can be compared with either analytic solutions or with experimental data.

  15. Progress Implementing a Model-Based Iterative Reconstruction Algorithm for Ultrasound Imaging of Thick Concrete

    Energy Technology Data Exchange (ETDEWEB)

    Almansouri, Hani [Purdue University; Johnson, Christi R [ORNL; Clayton, Dwight A [ORNL; Polsky, Yarom [ORNL; Bouman, Charlie [Purdue University; Santos-Villalobos, Hector J [ORNL

    2017-01-01

    All commercial nuclear power plants (NPPs) in the United States contain concrete structures. These structures provide important foundation, support, shielding, and containment functions. Identification and management of aging and the degradation of concrete structures is fundamental to the proposed long-term operation of NPPs. Concrete structures in NPPs are often inaccessible and contain large volumes of massively thick concrete. While acoustic imaging using the synthetic aperture focusing technique (SAFT) works adequately well for thin specimens of concrete such as concrete transportation structures, enhancements are needed for heavily reinforced, thick concrete. We argue that image reconstruction quality for acoustic imaging in thick concrete could be improved with Model-Based Iterative Reconstruction (MBIR) techniques. MBIR works by designing a probabilistic model for the measurements (forward model) and a probabilistic model for the object (prior model). Both models are used to formulate an objective function (cost function). The final step in MBIR is to optimize the cost function. Previously, we have demonstrated a first implementation of MBIR for an ultrasonic transducer array system. The original forward model has been upgraded to account for direct arrival signal. Updates to the forward model will be documented and the new algorithm will be assessed with synthetic and empirical samples.

  16. Implementation of two-equation soot flamelet models for laminar diffusion flames

    Energy Technology Data Exchange (ETDEWEB)

    Carbonell, D.; Oliva, A.; Perez-Segarra, C.D. [Centre Tecnologic de Transferencia de Calor (CTTC), Universitat Politecnica de Catalunya (UPC), ETSEIAT, Colom 11, E-08222, Terrassa (Barcelona) (Spain)

    2009-03-15

    The two-equation soot model proposed by Leung et al. [K.M. Leung, R.P. Lindstedt, W.P. Jones, Combust. Flame 87 (1991) 289-305] has been derived in the mixture fraction space. The model has been implemented using both Interactive and Non-Interactive flamelet strategies. An Extended Enthalpy Defect Flamelet Model (E-EDFM) which uses a flamelet library obtained neglecting the soot formation is proposed as a Non-Interactive method. The Lagrangian Flamelet Model (LFM) is used to represent the Interactive models. This model uses direct values of soot mass fraction from flamelet calculations. An Extended version (E-LFM) of this model is also suggested in which soot mass fraction reaction rates are used from flamelet calculations. Results presented in this work show that the E-EDFM predict acceptable results. However, it overpredicts the soot volume fraction due to the inability of this model to couple the soot and gas-phase mechanisms. It has been demonstrated that the LFM is not able to predict accurately the soot volume fraction. On the other hand, the extended version proposed here has been shown to be very accurate. The different flamelet mathematical formulations have been tested and compared using well verified reference calculations obtained solving the set of the Full Transport Equations (FTE) in the physical space. (author)

  17. Progress implementing a model-based iterative reconstruction algorithm for ultrasound imaging of thick concrete

    Science.gov (United States)

    Almansouri, Hani; Johnson, Christi; Clayton, Dwight; Polsky, Yarom; Bouman, Charles; Santos-Villalobos, Hector

    2017-02-01

    All commercial nuclear power plants (NPPs) in the United States contain concrete structures. These structures provide important foundation, support, shielding, and containment functions. Identification and management of aging and the degradation of concrete structures is fundamental to the proposed long-term operation of NPPs. Concrete structures in NPPs are often inaccessible and contain large volumes of massively thick concrete. While acoustic imaging using the synthetic aperture focusing technique (SAFT) works adequately well for thin specimens of concrete such as concrete transportation structures, enhancements are needed for heavily reinforced, thick concrete. We argue that image reconstruction quality for acoustic imaging in thick concrete could be improved with Model-Based Iterative Reconstruction (MBIR) techniques. MBIR works by designing a probabilistic model for the measurements (forward model) and a probabilistic model for the object (prior model). Both models are used to formulate an objective function (cost function). The final step in MBIR is to optimize the cost function. Previously, we have demonstrated a first implementation of MBIR for an ultrasonic transducer array system. The original forward model has been upgraded to account for direct arrival signal. Updates to the forward model will be documented and the new algorithm will be assessed with synthetic and empirical samples.

  18. Development and Implementation of an Online Chemistry Module to a Large Eddy Simulation Model

    Science.gov (United States)

    Forkel, Renate; Banzhaf, Sabine; Kanani-Sühring, Farah; Ketelsen, Klaus; Khan, Basit; Maronga, Björn; Mauder, Matthias; Raasch, Siegfried

    2017-04-01

    Large Eddy Simulation (LES) models permit to resolve relevant scales of turbulent motion, so that these models can capture the inherent unsteadiness of atmospheric turbulence and advection. However, LES models are so far hardly applied for urban air quality studies, in particular chemical transformation of pollutants. Within the BMBF (Bundesministerium für Bildung und Forschung) funded joint project MOSAIK (Modellbasierte Stadtplanung und Anwendung im Klimawandel / Model-based city planning and application in climate change) the state of the art LES model PALM (Parallelized LES Model; Maronga et al, 2015, Geosci. Model Dev., 8, doi:10.5194/gmd-8-2515-2015) is extended by an atmospheric chemistry scheme. Due to the high computational demands of a LES based model, compromises in the description of chemical processes are required. Therefore, a reduced chemistry mechanism, which includes only major pollutants namely O3, NO, NO2, CO, a highly simplified VOC chemistry and a small number of products have been implemented. For practical applications, our approach is to go beyond the simulation of single street canyons to chemical transformation, advection and deposition of air pollutants in the larger urban canopy. Tests of chemistry schemes and initial studies of chemistry-turbulence interactions are presented.

  19. A Python Implementation of an Intermediate-Level Tropical Circulation Model and Implications for How Modeling Science is Done

    Science.gov (United States)

    Lin, J. W. B.

    2015-12-01

    Historically, climate models have been developed incrementally and in compiled languages like Fortran. While the use of legacy compiledlanguages results in fast, time-tested code, the resulting model is limited in its modularity and cannot take advantage of functionalityavailable with modern computer languages. Here we describe an effort at using the open-source, object-oriented language Pythonto create more flexible climate models: the package qtcm, a Python implementation of the intermediate-level Neelin-Zeng Quasi-Equilibrium Tropical Circulation model (QTCM1) of the atmosphere. The qtcm package retains the core numerics of QTCM1, written in Fortran, to optimize model performance but uses Python structures and utilities to wrap the QTCM1 Fortran routines and manage model execution. The resulting "mixed language" modeling package allows order and choice of subroutine execution to be altered at run time, and model analysis and visualization to be integrated in interactively with model execution at run time. This flexibility facilitates more complex scientific analysis using less complex code than would be possible using traditional languages alone and provides tools to transform the traditional "formulate hypothesis → write and test code → run model → analyze results" sequence into a feedback loop that can be executed automatically by the computer.

  20. Guidelines for a graph-theoretic implementation of structural equation modeling

    Science.gov (United States)

    Grace, James B.; Schoolmaster, Donald R.; Guntenspergen, Glenn R.; Little, Amanda M.; Mitchell, Brian R.; Miller, Kathryn M.; Schweiger, E. William

    2012-01-01

    Structural equation modeling (SEM) is increasingly being chosen by researchers as a framework for gaining scientific insights from the quantitative analyses of data. New ideas and methods emerging from the study of causality, influences from the field of graphical modeling, and advances in statistics are expanding the rigor, capability, and even purpose of SEM. Guidelines for implementing the expanded capabilities of SEM are currently lacking. In this paper we describe new developments in SEM that we believe constitute a third-generation of the methodology. Most characteristic of this new approach is the generalization of the structural equation model as a causal graph. In this generalization, analyses are based on graph theoretic principles rather than analyses of matrices. Also, new devices such as metamodels and causal diagrams, as well as an increased emphasis on queries and probabilistic reasoning, are now included. Estimation under a graph theory framework permits the use of Bayesian or likelihood methods. The guidelines presented start from a declaration of the goals of the analysis. We then discuss how theory frames the modeling process, requirements for causal interpretation, model specification choices, selection of estimation method, model evaluation options, and use of queries, both to summarize retrospective results and for prospective analyses. The illustrative example presented involves monitoring data from wetlands on Mount Desert Island, home of Acadia National Park. Our presentation walks through the decision process involved in developing and evaluating models, as well as drawing inferences from the resulting prediction equations. In addition to evaluating hypotheses about the connections between human activities and biotic responses, we illustrate how the structural equation (SE) model can be queried to understand how interventions might take advantage of an environmental threshold to limit Typha invasions. The guidelines presented provide for

  1. An Investigation of How Managers’ Mental Models of Business-Consumer Interaction Influence the Implementation and Use of Social Media

    DEFF Research Database (Denmark)

    Rydén, Pernille; Ringberg, Torsten; Wilke, Ricky

    2014-01-01

    The paper empirically illustrates how mental models influence how managers implement social media in their businesses. We posit that managers’ use of social media is constrained by four mental models of business-consumer interaction and question the rational decision process that often is assumed...... to play a major part of introducing new technology. Based on twenty interviews with managers we identify four mental models,each of which uniquely influences how managers implement social media within the service and retailing industries....

  2. Implementing earth observation and advanced satellite based atmospheric sounders for water resource and climate modelling

    DEFF Research Database (Denmark)

    Boegh, E.; Dellwik, Ebba; Hahmann, Andrea N.;

    This paper discusses preliminary remote sensing (MODIS) based hydrological modelling results for the Danish island Sjælland (7330 km2) in relation to project objectives and methodologies of a new research project “Implementing Earth observation and advanced satellite based atmospheric sounders...... for effective land surface representation in water resource modeling” (2009- 2012). The purpose of the new research project is to develop remote sensing based model tools capable of quantifying the relative effects of site-specific land use change and climate variability at different spatial scales....... For this purpose, a) internal catchment processes will be studied using a Distributed Temperature Sensing (DTS) system, b) Earth observations will be used to upscale from field to regional scales, and c) at the largest scale, satellite based atmospheric sounders and meso-scale climate modelling will be used...

  3. An analog VLSI implementation of a visual interneuron: enhanced sensory processing through biophysical modeling.

    Science.gov (United States)

    Harrison, R R; Koch, C

    1999-10-01

    Flies are capable of rapid, coordinated flight through unstructured environments. This flight is guided by visual motion information that is extracted from photoreceptors in a robust manner. One feature of the fly's visual processing that adds to this robustness is the saturation of wide-field motion-sensitive neuron responses with increasing pattern size. This makes the cell's responses less dependent on the sparseness of the optical flow field while retaining motion information. By implementing a compartmental neuronal model in silicon, we add this "gain control" to an existing analog VLSI model of fly vision. This results in enhanced performance in a compact, low-power CMOS motion sensor. Our silicon system also demonstrates that modern, biophysically-detailed models of neural sensory processing systems can be instantiated in VLSI hardware.

  4. The implementation of a toroidal limiter model into the gyrokinetic code ELMFIRE

    Energy Technology Data Exchange (ETDEWEB)

    Leerink, S.; Janhunen, S.J.; Kiviniemi, T.P.; Nora, M. [Euratom-Tekes Association, Helsinki University of Technology (Finland); Heikkinen, J.A. [Euratom-Tekes Association, VTT, P.O. Box 1000, FI-02044 VTT (Finland); Ogando, F. [Universidad Nacional de Educacion a Distancia, Madrid (Spain)

    2008-03-15

    The ELMFIRE full nonlinear gyrokinetic simulation code has been developed for calculations of plasma evolution and dynamics of turbulence in tokamak geometry. The code is applicable for calculations of strong perturbations in particle distribution function, rapid transients and steep gradients in plasma. Benchmarking against experimental reflectometry data from the FT2 tokamak is being discussed and in this paper a model for comparison and studying poloidal velocity is presented. To make the ELMFIRE code suitable for scrape-off layer simulations a simplified toroidal limiter model has been implemented. The model is be discussed and first results are presented. (copyright 2008 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim) (orig.)

  5. Numerical implementation of energy-based models in finite element analysis

    Science.gov (United States)

    Chattonjai, Piyachat

    2016-06-01

    Soil is one of the most complex materials including several characteristics which are not only effect on stress-strain relationship but also volume changed such as contraction and dilation. Those characteristics depend on so many factors such as stress history, drained condition, current effective stress state, stress paths as well as void ratio, etc. In finite element analysis, the relevant constitutive model which includes relevant factors as mentioned above is one of the main key that will provide the accurate predicting of strength and deformation characteristic of geotechnical structure. For modern finite element program, the user-defined material subroutines have been provided when the material models included in the material library could not accurately predict the rather complex behavior of material. The objective of this study is to implement the elasto-plastic work-hardening-softening constitutive model into ABAQUS via VUMAT subroutine. The simulated results were verified by the experimental results of Toyoura sand under plane strain condition.

  6. Full-observability analysis and implementation of the general SLAM model

    Science.gov (United States)

    Souici, Ae.; Courdesses, M.; Ouldali, A.; Chatila, R.

    2013-03-01

    Simultaneous localisation and mapping (SLAM) problem is a non-linear system with dynamic state and measurement dimensions. The full observability of such system was ignored, in spite of the fact that system observability is a fundamental aspect in any state estimation problem. In this article, we present a full observability analysis of the general SLAM model. We show that known landmarks (anchor) solution does not guarantee full observability. Furthermore, we prove that to make the general SLAM model fully observable, a combination of known landmarks and invariant metrics are needed. Moreover, we propose a solution to implement a fully observable SLAM model based on mature landmark and virtual observation concepts. Simulations and experimental results are presented demonstrating the validity of the solutions in real world.

  7. Implementation of an offset-dipole magnetic field in a pulsar modelling code

    CERN Document Server

    Breed, M; Harding, A K; Johnson, T J

    2014-01-01

    The light curves of gamma-ray pulsars detected by the Fermi Large Area Telescope show great variety in profile shape and position relative to their radio profiles. Such diversity hints at distinct underlying magnetospheric and/or emission geometries for the individual pulsars. We implemented an offset-dipole magnetic field in an existing geometric pulsar modelling code which already includes static and retarded vacuum dipole fields. In our model, this offset is characterised by a parameter epsilon (with epsilon = 0 corresponding to the static dipole case). We constructed sky maps and light curves for several pulsar parameters and magnetic fields, studying the effect of an offset dipole on the resulting light curves. A standard two-pole caustic emission geometry was used. As an application, we compared our model light curves with Fermi data for the bright Vela pulsar.

  8. Konsep Tingkat Kematangan penerapan Internet Protokol versi 6 (Capability Maturity Model for IPv6 Implementation

    Directory of Open Access Journals (Sweden)

    Riza Azmi

    2015-03-01

    Full Text Available Internet Protocol atau IP merupakan standar penomoran internet di dunia yang jumlahnya terbatas. Di dunia, alokasi IP diatur oleh Internet Assignd Number Authority (IANA dan didelegasikan ke melalui otoritas masing-masing benua. IP sendiri terdiri dari 2 jenis versi yaitu IPv4 dan IPv6 dimana alokasi IPv4 dinyatakan habis di tingkat IANA pada bulan April 2011. Oleh karena itu, penggunaan IP diarahkan kepada penggunaan IPv6. Untuk melihat bagaimana kematangan suatu organisasi terhadap implementasi IPv6, penelitian ini mencoba membuat sebuah model tingkat kematangan penerapan IPv6. Konsep dasar dari model ini mengambil konsep Capability Maturity Model Integrated (CMMI, dengan beberapa tambahan yaitu roadmap migrasi IPv6 di Indonesia, Request for Comment (RFC yang terkait dengan IPv6 serta beberapa best-practice implementasi dari IPv6. Dengan konsep tersebut, penelitian ini menghasilkan konsep Capability Maturity for IPv6 Implementation.

  9. Implementation of virtual models from sheet metal forming simulation into physical 3D colour models using 3D printing

    Science.gov (United States)

    Junk, S.

    2016-08-01

    Today the methods of numerical simulation of sheet metal forming offer a great diversity of possibilities for optimization in product development and in process design. However, the results from simulation are only available as virtual models. Because there are any forming tools available during the early stages of product development, physical models that could serve to represent the virtual results are therefore lacking. Physical 3D-models can be created using 3D-printing and serve as an illustration and present a better understanding of the simulation results. In this way, the results from the simulation can be made more “comprehensible” within a development team. This paper presents the possibilities of 3D-colour printing with particular consideration of the requirements regarding the implementation of sheet metal forming simulation. Using concrete examples of sheet metal forming, the manufacturing of 3D colour models will be expounded upon on the basis of simulation results.

  10. Implementation of a numerical holding furnace model in foundry and construction of a reduced model

    Science.gov (United States)

    Loussouarn, Thomas; Maillet, Denis; Remy, Benjamin; Dan, Diane

    2016-09-01

    Vacuum holding induction furnaces are used for the manufacturing of turbine blades by loss wax foundry process. The control of solidification parameters is a key factor for the manufacturing of these parts in according to geometrical and structural expectations. The definition of a reduced heat transfer model with experimental identification through an estimation of its parameters is required here. In a further stage this model will be used to characterize heat exchanges using internal sensors through inverse techniques to optimize the furnace command and the optimization of its design. Here, an axisymmetric furnace and its load have been numerically modelled using FlexPDE, a finite elements code. A detailed model allows the calculation of the internal induction heat source as well as transient radiative transfer inside the furnace. A reduced lumped body model has been defined to represent the numerical furnace. The model reduction and the estimation of the parameters of the lumped body have been made using a Levenberg-Marquardt least squares minimization algorithm with Matlab, using two synthetic temperature signals with a further validation test.

  11. Designing and implementing a regional urban modeling system using the SLEUTH cellular urban model

    Science.gov (United States)

    Jantz, C.A.; Goetz, S.J.; Donato, D.; Claggett, P.

    2010-01-01

    This paper presents a fine-scale (30 meter resolution) regional land cover modeling system, based on the SLEUTH cellular automata model, that was developed for a 257000 km2 area comprising the Chesapeake Bay drainage basin in the eastern United States. As part of this effort, we developed a new version of the SLEUTH model (SLEUTH-3r), which introduces new functionality and fit metrics that substantially increase the performance and applicability of the model. In addition, we developed methods that expand the capability of SLEUTH to incorporate economic, cultural and policy information, opening up new avenues for the integration of SLEUTH with other land-change models. SLEUTH-3r is also more computationally efficient (by a factor of 5) and uses less memory (reduced 65%) than the original software. With the new version of SLEUTH, we were able to achieve high accuracies at both the aggregate level of 15 sub-regional modeling units and at finer scales. We present forecasts to 2030 of urban development under a current trends scenario across the entire Chesapeake Bay drainage basin, and three alternative scenarios for a sub-region within the Chesapeake Bay watershed to illustrate the new ability of SLEUTH-3r to generate forecasts across a broad range of conditions. ?? 2009 Elsevier Ltd.

  12. Implementation of a WRF-CMAQ Air Quality Modeling System in Bogotá, Colombia

    Science.gov (United States)

    Nedbor-Gross, R.; Henderson, B. H.; Pachon, J. E.; Davis, J. R.; Baublitz, C. B.; Rincón, A.

    2014-12-01

    Due to a continuous economic growth Bogotá, Colombia has experienced air pollution issues in recent years. The local environmental authority has implemented several strategies to curb air pollution that have resulted in the decrease of PM10 concentrations since 2010. However, more activities are necessary in order to meet international air quality standards in the city. The University of Florida Air Quality and Climate group is collaborating with the Universidad de La Salle to prioritize regulatory strategies for Bogotá using air pollution simulations. To simulate pollution, we developed a modeling platform that combines the Weather Research and Forecasting Model (WRF), local emissions, and the Community Multi-scale Air Quality model (CMAQ). This platform is the first of its kind to be implemented in the megacity of Bogota, Colombia. The presentation will discuss development and evaluation of the air quality modeling system, highlight initial results characterizing photochemical conditions in Bogotá, and characterize air pollution under proposed regulatory strategies. The WRF model has been configured and applied to Bogotá, which resides in a tropical climate with complex mountainous topography. Developing the configuration included incorporation of local topography and land-use data, a physics sensitivity analysis, review, and systematic evaluation. The threshold, however, was set based on synthesis of model performance under less mountainous conditions. We will evaluate the impact that differences in autocorrelation contribute to the non-ideal performance. Air pollution predictions are currently under way. CMAQ has been configured with WRF meteorology, global boundary conditions from GEOS-Chem, and a locally produced emission inventory. Preliminary results from simulations show promising performance of CMAQ in Bogota. Anticipated results include a systematic performance evaluation of ozone and PM10, characterization of photochemical sensitivity, and air

  13. Augmenting Predictive Modeling Tools with Clinical Insights for Care Coordination Program Design and Implementation.

    Science.gov (United States)

    Johnson, Tracy L; Brewer, Daniel; Estacio, Raymond; Vlasimsky, Tara; Durfee, Michael J; Thompson, Kathy R; Everhart, Rachel M; Rinehart, Deborath J; Batal, Holly

    2015-01-01

    The Center for Medicare and Medicaid Innovation (CMMI) awarded Denver Health's (DH) integrated, safety net health care system $19.8 million to implement a "population health" approach into the delivery of primary care. This major practice transformation builds on the Patient Centered Medical Home (PCMH) and Wagner's Chronic Care Model (CCM) to achieve the "Triple Aim": improved health for populations, care to individuals, and lower per capita costs. This paper presents a case study of how DH integrated published predictive models and front-line clinical judgment to implement a clinically actionable, risk stratification of patients. This population segmentation approach was used to deploy enhanced care team staff resources and to tailor care-management services to patient need, especially for patients at high risk of avoidable hospitalization. Developing, implementing, and gaining clinical acceptance of the Health Information Technology (HIT) solution for patient risk stratification was a major grant objective. In addition to describing the Information Technology (IT) solution itself, we focus on the leadership and organizational processes that facilitated its multidisciplinary development and ongoing iterative refinement, including the following: team composition, target population definition, algorithm rule development, performance assessment, and clinical-workflow optimization. We provide examples of how dynamic business intelligence tools facilitated clinical accessibility for program design decisions by enabling real-time data views from a population perspective down to patient-specific variables. We conclude that population segmentation approaches that integrate clinical perspectives with predictive modeling results can better identify high opportunity patients amenable to medical home-based, enhanced care team interventions.

  14. Implementation of the ECHO(®) telementoring model for the treatment of patients with hepatitis C.

    Science.gov (United States)

    Marciano, Sebastián; Haddad, Leila; Plazzotta, Fernando; Mauro, Ezequiel; Terraza, Sergio; Arora, Sanjeev; Thornton, Karla; Ríos, Beatriz; García Dans, Carlos; Ratusnu, Natalia; Calanni, Liliana; Allevato, José; Sirotinsky, María Ester; Pedrosa, Marcos; Gadano, Adrián

    2017-04-01

    We aimed to implement the Extension for Community Healthcare Outcomes (ECHO) telementoring model for hepatitis C and to evaluate its outcomes in the health providers. Following the ECHO model, an hepatitis C teleECHO clinic was established at the Hospital Italiano in Argentina. The teleECHO clinic provides support and training to physicians from Patagonia who treat patients with hepatitis C. In order to evaluate the teleECHO clinic outcomes, physicians completed a survey focused on skills and competence in hepatitis C before and after 6 months of participating in the project. The survey consisted of 10 questions, which participants rated from 1 to 7 (1 no ability; 7 highest ability). To analyze the difference before and after participation in the project, Wilcoxon signed-rank test was used. During the first 6 months of implementation of the model, a total of 14 physicians from 12 sites in Patagonia agreed to participate in the survey. The median age of the participants was 42 years. Participants' primary specialties were Hepatology (55%), Infectious Diseases (25%), General Practice (10%), and other (10%). A significant improvement was observed in all the evaluated fields after 6 month of the participation in the teleECHO clinic, namely fibrosis staging, determining appropriate candidates for treatment, and selecting appropriate HCV treatment. In addition, their general interest in hepatitis C increased. We successfully replicated and implemented the first teleECHO clinic in Argentina. Physicians improved their ability to provide best practice care for patients with Hepatitis C. J. Med. Virol. 89:660-664, 2017. © 2016 Wiley Periodicals, Inc.

  15. Implementation of sensitivity and resolution modeling for SPECT with cone-beam collimator

    Science.gov (United States)

    Krol, Andrzej; Kunniyur, Vikram R.; Lee, Wei; Gangal, Kedar R.; Coman, Ioana L.; Lipson, Edward D.; Karczewski, Deborah A.; Thomas, F. Deaver; Feiglin, David H.

    2005-04-01

    We implemented a fully-3D ordered-subsets expectation-maximization (OSEM) algorithm with attenuation compensation, distance-dependent blurring (DDB), and sensitivity modeling for SPECT performed with a cone-beam collimator (CBC). The experimentally obtained detector response to point sources across FOV was fitted to a two-dimensional Gaussian function with its width (FWHM) varying linearly with the source-to-detector distance and with very weak sensitivity dependence on the emission angle. We obtained CBC SPECT scans of a physical point-source phantom, a Defrise phantom, and a female patient, and we investigated performance of our algorithm. To correctly simulate DDB and sensitivity, a blurring kernel with a radius of up to 10 elements had to be used for a 128¥128 acquisition matrix, and volumetric ray tracing rather than line-element-based ray tracing has to be implemented. In the point-source phantom reconstruction we evaluated the uniformity of FWHM for the radial, tangential and longitudinal directions, and sensitivity vs. distance. An isotropic and stationary resolution was obtained at any location by OSEM with DDB and sensitivity modeling, only when volumetric ray tracing was used. We analyzed axial and transaxial profiles obtained for the Defrise phantom and evaluated the reconstructed breast SPECT patient images. The proposed fully-3D OSEM reconstruction algorithm with DBB and sensitivity modeling, and attenuation compensation with volumetric rays tracing is efficient and effective with significant resolution and sensitivity recovery.

  16. A Structural Equation Model (SEM of Governing Factors Influencing the Implementation of T-Government

    Directory of Open Access Journals (Sweden)

    Sameer Alshetewi

    2015-11-01

    Full Text Available Governments around the world have invested significant sums of money on Information and Communication Technology (ICT to improve the efficiency and effectiveness of services been provided to their citizens. However, they have not achieved the desired results because of the lack of interoperability between different government entities. Therefore, many governments have started shifting away from the original concept of e-Government towards a much more transformational approach that encompasses the entire relationship between different government departments and users of public services, which can be termed as transformational government (t- Government. In this paper, a model is proposed for governing factors that impact the implementation of t-Government such as strategy, leadership, stakeholders, citizen centricity and funding in the context of Saudi Arabia. Five constructs are hypothesised to be related to the implementation of t-Government. To clarify the relationships among these constructs, a structural equation model (SEM is utilised to examine the model fit with the five hypotheses. The results show that there are positive and significant relationships among the constructs such as the relationships between strategy and t-Government; the relationships between stakeholders and t-Government; the relationships between leadership and t-Government. This study also showed an insignificant relationship between citizens’ centricity and t-Government and also an insignificant relationship between funding and t-Government. document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.

  17. Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

    Directory of Open Access Journals (Sweden)

    Jinwei Wang

    2014-01-01

    Full Text Available The active appearance model (AAM is one of the most powerful model-based object detecting and tracking methods which has been widely used in various situations. However, the high-dimensional texture representation causes very time-consuming computations, which makes the AAM difficult to apply to real-time systems. The emergence of modern graphics processing units (GPUs that feature a many-core, fine-grained parallel architecture provides new and promising solutions to overcome the computational challenge. In this paper, we propose an efficient parallel implementation of the AAM fitting algorithm on GPUs. Our design idea is fine grain parallelism in which we distribute the texture data of the AAM, in pixels, to thousands of parallel GPU threads for processing, which makes the algorithm fit better into the GPU architecture. We implement our algorithm using the compute unified device architecture (CUDA on the Nvidia’s GTX 650 GPU, which has the latest Kepler architecture. To compare the performance of our algorithm with different data sizes, we built sixteen face AAM models of different dimensional textures. The experiment results show that our parallel AAM fitting algorithm can achieve real-time performance for videos even on very high-dimensional textures.

  18. Efficient parallel implementation of active appearance model fitting algorithm on GPU.

    Science.gov (United States)

    Wang, Jinwei; Ma, Xirong; Zhu, Yuanping; Sun, Jizhou

    2014-01-01

    The active appearance model (AAM) is one of the most powerful model-based object detecting and tracking methods which has been widely used in various situations. However, the high-dimensional texture representation causes very time-consuming computations, which makes the AAM difficult to apply to real-time systems. The emergence of modern graphics processing units (GPUs) that feature a many-core, fine-grained parallel architecture provides new and promising solutions to overcome the computational challenge. In this paper, we propose an efficient parallel implementation of the AAM fitting algorithm on GPUs. Our design idea is fine grain parallelism in which we distribute the texture data of the AAM, in pixels, to thousands of parallel GPU threads for processing, which makes the algorithm fit better into the GPU architecture. We implement our algorithm using the compute unified device architecture (CUDA) on the Nvidia's GTX 650 GPU, which has the latest Kepler architecture. To compare the performance of our algorithm with different data sizes, we built sixteen face AAM models of different dimensional textures. The experiment results show that our parallel AAM fitting algorithm can achieve real-time performance for videos even on very high-dimensional textures.

  19. An ultra-low-voltage electronic implementation of inertial neuron model with nonmonotonous Liao's activation function.

    Science.gov (United States)

    Kant, Nasir Ali; Dar, Mohamad Rafiq; Khanday, Farooq Ahmad

    2015-01-01

    The output of every neuron in neural network is specified by the employed activation function (AF) and therefore forms the heart of neural networks. As far as the design of artificial neural networks (ANNs) is concerned, hardware approach is preferred over software one because it promises the full utilization of the application potential of ANNs. Therefore, besides some arithmetic blocks, designing AF in hardware is the most important for designing ANN. While attempting to design the AF in hardware, the designs should be compatible with the modern Very Large Scale Integration (VLSI) design techniques. In this regard, the implemented designs should: only be in Metal Oxide Semiconductor (MOS) technology in order to be compatible with the digital designs, provide electronic tunability feature, and be able to operate at ultra-low voltage. Companding is one of the promising circuit design techniques for achieving these goals. In this paper, 0.5 V design of Liao's AF using sinh-domain technique is introduced. Furthermore, the function is tested by implementing inertial neuron model. The performance of the AF and inertial neuron model have been evaluated through simulation results, using the PSPICE software with the MOS transistor models provided by the 0.18-μm Taiwan Semiconductor Manufacturer Complementary Metal Oxide Semiconductor (TSM CMOS) process.

  20. Developing evaluation instrument based on CIPP models on the implementation of portfolio assessment

    Science.gov (United States)

    Kurnia, Feni; Rosana, Dadan; Supahar

    2017-08-01

    This study aimed to develop an evaluation instrument constructed by CIPP model on the implementation of portfolio assessment in science learning. This study used research and development (R & D) method; adapting 4-D by the development of non-test instrument, and the evaluation instrument constructed by CIPP model. CIPP is the abbreviation of Context, Input, Process, and Product. The techniques of data collection were interviews, questionnaires, and observations. Data collection instruments were: 1) the interview guidelines for the analysis of the problems and the needs, 2) questionnaire to see level of accomplishment of portfolio assessment instrument, and 3) observation sheets for teacher and student to dig up responses to the portfolio assessment instrument. The data obtained was quantitative data obtained from several validators. The validators consist of two lecturers as the evaluation experts, two practitioners (science teachers), and three colleagues. This paper shows the results of content validity obtained from the validators and the analysis result of the data obtained by using Aikens' V formula. The results of this study shows that the evaluation instrument based on CIPP models is proper to evaluate the implementation of portfolio assessment instruments. Based on the experts' judgments, practitioners, and colleagues, the Aikens' V coefficient was between 0.86-1,00 which means that it is valid and can be used in the limited trial and operational field trial.

  1. Modeling of a Photovoltaic-Powered Electric Vehicle Charging Station with Vehicle-to-Grid Implementation

    Directory of Open Access Journals (Sweden)

    Azhar Ul-Haq

    2016-12-01

    Full Text Available This paper is aimed at modelling of a distinct smart charging station for electric vehicles (EVs that is suitable for DC quick EV charging while ensuring minimum stress on the power grid. Operation of the charging station is managed in such a way that it is either supplied by photovoltaic (PV power or the power grid, and the vehicle-to-grid (V2G is also implemented for improving the stability of the grid during peak load hours. The PV interfaced DC/DC converter and grid interfaced DC/AC bidirectional converter share a DC bus. A smooth transition of one operating mode to another demonstrates the effectiveness of the employed control strategy. Modelling and control of the different components are explained and are implemented in Simulink. Simulations illustrate the feasible behaviour of the charging station under all operating modes in terms of the four-way interaction among PV, EVs and the grid along with V2G operation. Additionally, a business model is discussed with comprehensive analysis of cost estimation for the deployment of charging facilities in a residential area. It has been recognized that EVs bring new opportunities in terms of providing regulation services and consumption flexibility by varying the recharging power at a certain time instant. The paper also discusses the potential financial incentives required to inspire EV owners for active participation in the demand response mechanism.

  2. An E-Cash Based Implementation Model for Facilitating Anonymous Purchasing of Information Products

    Science.gov (United States)

    Zhang, Zhen; Kim, K. H. (Kane); Kang, Myeong-Ho; Zhou, Tianran; Chung, Byung-Ho; Kim, Shin-Hyo; Lee, Seok-Joon

    The rapid growing of online purchasing of information products poses challenges of how to preserve the customer's privacy during the online transactions. The current widely used way of online shopping does not consider the customer's privacy protection. It exposes the customer's sensitive information unnecessarily. We propose a new five-party implementation model called 5PAPS that provides much enhanced protection of the customer's privacy. The model combines the advantages of the e-cash techniques, the mix technique, the anonymous-honoring merchant model, and the anonymity-protecting payment gateway model. It is aimed for protecting the customer's anonymity in all applicable aspects. Security and anonymity issues of the model have been analyzed. The results show that the model is robust against varieties of common attacks and the customer's anonymity can be protected even in the presence of some collusion among the parties involved in the transactions. Experimental prototyping of the essential parts yields partial validation of the practical nature of the 5PAPS model, and it has also produced reliable estimates of the storage and messaging volume requirements present in sizable purchasing systems.

  3. Neuromorphic control of stepping pattern generation: a dynamic model with analog circuit implementation.

    Science.gov (United States)

    Yang, Zhijun; Cameron, Katherine; Lewinger, William; Webb, Barbara; Murray, Alan

    2012-03-01

    Animals such as stick insects can adaptively walk on complex terrains by dynamically adjusting their stepping motion patterns. Inspired by the coupled Matsuoka and resonate-and-fire neuron models, we present a nonlinear oscillation model as the neuromorphic central pattern generator (CPG) for rhythmic stepping pattern generation. This dynamic model can also be used to actuate the motoneurons on a leg joint with adjustable driving frequencies and duty cycles by changing a few of the model parameters while operating such that different stepping patterns can be generated. A novel mixed-signal integrated circuit design of this dynamic model is subsequently implemented, which, although simplified, shares the equivalent output performance in terms of the adjustable frequency and duty cycle. Three identical CPG models being used to drive three joints can make an arthropod leg of three degrees of freedom. With appropriate initial circuit parameter settings, and thus suitable phase lags among joints, the leg is expected to walk on a complex terrain with adaptive steps. The adaptation is associated with the circuit parameters mediated both by the higher level nervous system and the lower level sensory signals. The model is realized using a 0.3- complementary metal-oxide-semiconductor process and the results are reported.

  4. Understanding the implementation of complex interventions in health care: the normalization process model

    Directory of Open Access Journals (Sweden)

    Rogers Anne

    2007-09-01

    Full Text Available Abstract Background The Normalization Process Model is a theoretical model that assists in explaining the processes by which complex interventions become routinely embedded in health care practice. It offers a framework for process evaluation and also for comparative studies of complex interventions. It focuses on the factors that promote or inhibit the routine embedding of complex interventions in health care practice. Methods A formal theory structure is used to define the model, and its internal causal relations and mechanisms. The model is broken down to show that it is consistent and adequate in generating accurate description, systematic explanation, and the production of rational knowledge claims about the workability and integration of complex interventions. Results The model explains the normalization of complex interventions by reference to four factors demonstrated to promote or inhibit the operationalization and embedding of complex interventions (interactional workability, relational integration, skill-set workability, and contextual integration. Conclusion The model is consistent and adequate. Repeated calls for theoretically sound process evaluations in randomized controlled trials of complex interventions, and policy-makers who call for a proper understanding of implementation processes, emphasize the value of conceptual tools like the Normalization Process Model.

  5. Integration of treatment innovation planning and implementation: strategic process models and organizational challenges.

    Science.gov (United States)

    Lehman, Wayne E K; Simpson, D Dwayne; Knight, Danica K; Flynn, Patrick M

    2011-06-01

    Sustained and effective use of evidence-based practices in substance abuse treatment services faces both clinical and contextual challenges. Implementation approaches are reviewed that rely on variations of plan-do-study-act (PDSA) cycles, but most emphasize conceptual identification of core components for system change strategies. A two-phase procedural approach is therefore presented based on the integration of Texas Christian University (TCU) models and related resources for improving treatment process and program change. Phase 1 focuses on the dynamics of clinical services, including stages of client recovery (cross-linked with targeted assessments and interventions), as the foundations for identifying and planning appropriate innovations to improve efficiency and effectiveness. Phase 2 shifts to the operational and organizational dynamics involved in implementing and sustaining innovations (including the stages of training, adoption, implementation, and practice). A comprehensive system of TCU assessments and interventions for client and program-level needs and functioning are summarized as well, with descriptions and guidelines for applications in practical settings.

  6. Streaming Model Based Volume Ray Casting Implementation for Cell Broadband Engine

    Directory of Open Access Journals (Sweden)

    Jusub Kim

    2009-01-01

    Full Text Available Interactive high quality volume rendering is becoming increasingly more important as the amount of more complex volumetric data steadily grows. While a number of volumetric rendering techniques have been widely used, ray casting has been recognized as an effective approach for generating high quality visualization. However, for most users, the use of ray casting has been limited to datasets that are very small because of its high demands on computational power and memory bandwidth. However the recent introduction of the Cell Broadband Engine (Cell B.E. processor, which consists of 9 heterogeneous cores designed to handle extremely demanding computations with large streams of data, provides an opportunity to put the ray casting into practical use. In this paper, we introduce an efficient parallel implementation of volume ray casting on the Cell B.E. The implementation is designed to take full advantage of the computational power and memory bandwidth of the Cell B.E. using an intricate orchestration of the ray casting computation on the available heterogeneous resources. Specifically, we introduce streaming model based schemes and techniques to efficiently implement acceleration techniques for ray casting on Cell B.E. In addition to ensuring effective SIMD utilization, our method provides two key benefits: there is no cost for empty space skipping and there is no memory bottleneck on moving volumetric data for processing. Our experimental results show that we can interactively render practical datasets on a single Cell B.E. processor.

  7. Moving toward change: Institutionalizing reform through implementation of the Learning Assistant model and Open Source Tutorials

    Directory of Open Access Journals (Sweden)

    Renee Michelle Goertzen1

    2011-09-01

    Full Text Available Florida International University has undergone a reform in the introductory physics classes by focusing on the laboratory component of these classes. We present results from the secondary implementation of two research-based instructional strategies: the implementation of the Learning Assistant model as developed by the University of Colorado at Boulder and the Open Source Tutorial curriculum developed at the University of Maryland, College Park. We examine the results of the Force Concept Inventory (FCI for introductory students over five years (n=872 and find that the mean raw gain of students in transformed lab sections was 0.243, while the mean raw gain of the traditional labs was 0.159, with a Cohen’s d effect size of 0.59. Average raw gains on the FCI were 0.243 for Hispanic students and 0.213 for women in the transformed labs, indicating that these reforms are not widening the gaps between underrepresented student groups and majority groups. Our results illustrate how research-based instructional strategies can be successfully implemented in a physics department with minimal department engagement and in a sustainable manner.

  8. Black box modeling of PIDs implemented in PLCs without structural information: a support vector regression approach.

    Science.gov (United States)

    Salat, Robert; Awtoniuk, Michal

    In this report, the parameters identification of a proportional-integral-derivative (PID) algorithm implemented in a programmable logic controller (PLC) using support vector regression (SVR) is presented. This report focuses on a black box model of the PID with additional functions and modifications provided by the manufacturers and without information on the exact structure. The process of feature selection and its impact on the training and testing abilities are emphasized. The method was tested on a real PLC (Siemens and General Electric) with the implemented PID. The results show that the SVR maps the function of the PID algorithms and the modifications introduced by the manufacturer of the PLC with high accuracy. With this approach, the simulation results can be directly used to tune the PID algorithms in the PLC. The method is sufficiently universal in that it can be applied to any PI or PID algorithm implemented in the PLC with additional functions and modifications that were previously considered to be trade secrets. This method can also be an alternative for engineers who need to tune the PID and do not have any such information on the structure and cannot use the default settings for the known structures.

  9. Testing and Implementation of the Navy's Operational Circulation Model for the Mediterranean Sea

    Science.gov (United States)

    Farrar, P. D.; Mask, A. C.

    2012-04-01

    The US Naval Oceanographic Office (NAVOCEANO) has the responsibility for running ocean models in support of Navy operations. NAVOCEANO delivers Navy-relevant global, regional, and coastal ocean forecast products on a 24 hour/7 day a week schedule. In 2011, NAVOCEANO implemented an operational version of the RNCOM (Regional Navy Coastal Ocean Model) for the Mediterranean Sea (MedSea), replacing an older variation of the Princeton Ocean Model originally set up for this area back in the mid-1990's. RNCOM is a gridded model that assimilates both satellite data and in situ profile data in near real time. This 3km MedSea RNCOM is nested within a lower resolution global NCOM in the Atlantic at the 12.5 degree West longitude. Before being accepted as a source of operational products, a Navy ocean model must pass a series of validation tests and then once in service, its skill is monitored by software and regional specialists. This presentation will provide a brief summary of the initial evaluation results. Because of the oceanographic peculiarities of this basin, the MedSea implementation posed a set of new problems for an RNCOM operation. One problem was the present Navy satellite altimetry model assimilation techniques do not improve Mediterranean NCOM forecasts, so it has been turned off, pending improvements. Another problem was that since most in-situ observations were profiling floats with short five-day profiling intervals, there was a problem with temporal aliasing when comparing these observations to the NCOM predictions. Because of the time and spatial correlations in the MedSea and in the model, the observation/model comparisons would give an unrealistically optimistic estimate of model accuracy of the Mediterranean's temperature/salinity structure. Careful pre-selection of profiles for comparison during the evaluation stage, based on spatial distribution and novelty, was used to minimize this effect. NAVOCEANO's operational customers are interested primarily in

  10. Towards a multi-node OpenACC Implementation of the ICON Model

    Science.gov (United States)

    Sawyer, Will; Zaengl, Guenther; Linardakis, Leonidas

    2014-05-01

    We have ported the Icosahedral Non-hydrostatic (ICON) model's dynamics solver to Graphical Processing Units (GPUs), which is a task within the Partnership for Advanced Computing in Europe (PRACE) Second Implementation Phase (2IP) Work Package 8 (WP8). Initial single-node OpenCL and CUDA-Fortran implementations of ICON's non-hydrostatic dynamical core (NHDC) resulted in a maximum factor of two speedup over the latest CPU nodes, e.g., a dual-socket Intel Sandybridge. While this performance was promising, ICON developers viewed neither OpenCL nor CUDA-Fortran as viable programming paradigms for the actual production code, and suggested instead the OpenACC standard as the proper paradigm for the multi-node GPU implementation, which was then undertaken in WP8. We will present the results of the multi-node OpenACC implementation of the ICON NHDC for hybrid multicore platforms. The code baseline is the ICON "DSL" (Domain Specific Language) testbed code, which is essentially a stripped-down version of the ICON model for dynamics simulations only. We will discuss on the OpenACC directives used for the port of the computational as well as the communication code to GPUs, and report the resulting GPU performance on NVIDIA K20x as compared to contemporary CPU architectures. In addition, the future roadmap for an accelerated ICON version will be presented. As a first step, we are now incorporating the OpenACC directives into the ICON development trunk, based on the feedback given to us from the ICON developers at the Max Planck Institute for Meteorology (MPI-M) and the German Weather Service (DWD). Moreover, we plan to port the ICON Climate physical parameterizations stemming from the ECHAM model to OpenACC. This step should enable the full ICON on many core platforms which support OpenACC. The resulting model should benefit climate researchers world-wide who plan to transition from ECHAM to ICON in the coming years.

  11. Implementation of Bus Rapid Transit in Copenhagen: A Mesoscopic Model Approach

    DEFF Research Database (Denmark)

    Ingvardson, Jesper Bláfoss; Kornerup Jensen, Jonas

    2012-01-01

    Bus Rapid Transit(BRT) has shown to be an efficient and cost-effective mode of public transport, and has gained popularity in many cities around the world.To optimise the operations and infrastructure it is advantageous to deploy transportmodels. However, microscopic models are very inefficient f...... to increase commercial speed from 14.8to19.9km/h and service reliability in terms of headway time regularity from 46% to 84% aggregated on both directions for the morning peak period making the implementation of BRT feasible from a pure financial point of view....

  12. MODELING AND IMPLEMENTATION OF A DISTRIBUTED SHOP FLOOR MANAGEMENT AND CONTROL SYSTEM

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Adopting distributed control architecture is the important development direction for shop floor management and control system,is also the requirement of making it agile,intelligent and concurrent. Some key problems in achieving distributed control architecture are researched. An activity model of shop floor is presented as the requirement definition of the prototype system. The multi-agent based software architecture is constructed. How the core part in shop floor management and control system,production plan and scheduling is achieved. The cooperation of different agents is illustrated. Finally,the implementation of the prototype system is narrated.

  13. Implementing the Five-A Model of Technical Refinement: Key Roles of the Sport Psychologist.

    Science.gov (United States)

    Carson, Howie J; Collins, Dave

    2016-10-01

    There is increasing evidence for the significant contribution provided by sport psychologists within applied coaching environments. However, this rarely considers their skills/knowledge being applied when refining athletes' already learned and well-established motor skills. Therefore, this article focuses on how a sport psychologist might assist a coach and athlete to implement long-term permanent and pressure proof refinements. It highlights key contributions at each stage of the Five-A model-designed to deliver these important outcomes-providing both psychomotor and psychosocial input to the support delivery. By employing these recommendations, sport psychologists can make multiple positive contributions to completion of this challenging task.

  14. A new, accurate and easy to implement camera and video projector model.

    Science.gov (United States)

    Hoppe, Harald; Däuber, Sascha; Kübler, Carsten; Raczkowsky, Jörg; Wörn, Heinz

    2002-01-01

    In 2000, the Institute for Process Control and Robotics/Universität Karlsruhe (TH) has developed a prototype system for projector based augmented reality consisting of a state-of-the-art PC, two CCD cameras and a video projector which is used for registration and projection of surgical planning data. Tracking, registration as well as projection require an accurate calibration process for cameras and video projectors. We have developed a new, flexible, plain and easy to implement model, which can both be used for calibration of cameras and video projectors.

  15. A Primary Human Critical Success Factors Model for the ERP System Implementation

    Directory of Open Access Journals (Sweden)

    Jenko Aleksander

    2016-08-01

    Full Text Available Background and Purpose: Many researchers have investigated various Critical success factors (CSFs and the different causes of ERP implementation project failures. Despite a detailed literature preview, we were unable to find an appropriate research with a comprehensive overview of the true causes behind CSFs, observed from a human factors perspective. The objective of this research was therefore to develop and evaluate the Primary human factors (PHFs model and to confirm the significant impact of PHFs on traditional CSFs and on the project success.

  16. Implementation procedure for the generalized moving Preisach model based on a first order reversal curve diagram

    Institute of Scientific and Technical Information of China (English)

    HAN Yong; ZHU Jie

    2009-01-01

    Ftrst order reversal curves (FORC) of nanoeomposite Nd2Fe14B/Fe3B magnetic materials were measured to attain a FORC diagram, which characterizes reversible magnetization, irreversible magnetization, and magnetic interactions in a hysteresis system. Then, generalized mov-ing Preisach model (GMPM) was implemented based on the FORC diagram. Reversible and irreversible magnetizations shown in FORCs and a FORC diagram were used as an input of GMPM. Coupling interaction between reversible and irreversible magnetizations was added when calculating reversible magnetization. Meanwhile, irreversible magnetic moments' interaction was approximately represented by mean field interaction. The result shows that the simulated main curves mostly coincide with the experimental curves.

  17. Imprecise Computation Based Real-time Fault Tolerant Implementation for Model Predictive Control

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Model predictive control (MPC) could not be deployed in real-time control systems for its computation time is not well defined. A real-time fault tolerant implementation algorithm based on imprecise computation is proposed for MPC,according to the solving process of quadratic programming (QP) problem. In this algorithm, system stability is guaranteed even when computation resource is not enough to finish optimization completely. By this kind of graceful degradation, the behavior of real-time control systems is still predictable and determinate. The algorithm is demonstrated by experiments on servomotor, and the simulation results show its effectiveness.

  18. A threaded Java concurrent implementation of the Monte-Carlo Metropolis Ising model.

    Science.gov (United States)

    Castañeda-Marroquín, Carlos; de la Puente, Alfonso Ortega; Alfonseca, Manuel; Glazier, James A; Swat, Maciej

    2009-06-01

    This paper describes a concurrent Java implementation of the Metropolis Monte-Carlo algorithm that is used in 2D Ising model simulations. The presented method uses threads, monitors, shared variables and high level concurrent constructs that hide the low level details. In our algorithm we assign one thread to handle one spin flip attempt at a time. We use special lattice site selection algorithm to avoid two or more threads working concurently in the region of the lattice that "belongs" to two or more different spins undergoing spin-flip transformation. Our approach does not depend on the current platform and maximizes concurrent use of the available resources.

  19. A domain model of a clinical reading center - Design and implementation.

    Science.gov (United States)

    Lotz, Gunnar; Peters, Tobias; Zrenner, Eberhart; Wilke, Robert

    2010-01-01

    In clinical trials huge amounts of raw data are generated. Often these data are submitted to reading centers for being analyzed by experts of that particular type of examination. Although the installment of a reading center can raise the overall quality, they also introduce additional complexity to the management and conduction of a clinical trial. Software can help to handle this complexity. Domain-driven-design is one concept to tackle software development in such complex domains. Here we present our domain model for a clinical reading center, as well as its actual implementation utilizing the Nuxeo enterprise content management system.

  20. Design and Implementation of Mobile Blended Learning Model Based on WeChat Public Platform

    Directory of Open Access Journals (Sweden)

    Han Yanyan

    2017-01-01

    Full Text Available Merging together the ideas of mobile learning, blended learning and flipped classroom, a Mobile Blended Learning Model (MBLM is constructed. Based on WeChat Public Platform (WPP, MBLM can optimize the instructional process and improve the learning efficiency. A Mobile Blended Learning System(MBLS is implemented by using MBLM, and it is constructed by both WPP and auxiliary learning system which based on Java Web. This system has reasonable designed function, easy operation, and beautiful interface, so it can effectively promote the popularization of MBLM.