Готові списки джерел за темами / Common accuracy of the model

Добірка наукової літератури з теми "Common accuracy of the model"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Common accuracy of the model"

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Hung, Lai-Fa. "A Negative Binomial Regression Model for Accuracy Tests." Applied Psychological Measurement 36, no. 2 (January 24, 2012): 88–103. http://dx.doi.org/10.1177/0146621611429548.

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Rasch used a Poisson model to analyze errors and speed in reading tests. An important property of the Poisson distribution is that the mean and variance are equal. However, in social science research, it is very common for the variance to be greater than the mean (i.e., the data are overdispersed). This study embeds the Rasch model within an overdispersion framework and proposes new estimation methods. The parameters in the proposed model can be estimated using the Markov chain Monte Carlo method implemented in WinBUGS and the marginal maximum likelihood method implemented in SAS. An empirical example based on models generated by the results of empirical data, which are fitted and discussed, is examined.
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Semenov, Serhii, Liqiang Zhang, Weiling Cao, Serhii Bulba, Vira Babenko, and Viacheslav Davydov. "Development of a fuzzy GERT-model for investigating common software vulnerabilities." Eastern-European Journal of Enterprise Technologies 6, no. 2 (114) (December 29, 2021): 6–18. http://dx.doi.org/10.15587/1729-4061.2021.243715.

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This paper has determined the relevance of the issue related to improving the accuracy of the results of mathematical modeling of the software security testing process. The fuzzy GERT-modeling methods have been analyzed. The necessity and possibility of improving the accuracy of the results of mathematical formalization of the process of studying software vulnerabilities under the conditions of fuzziness of input and intermediate data have been determined. To this end, based on the mathematical apparatus of fuzzy network modeling, a fuzzy GERT model has been built for investigating software vulnerabilities. A distinctive feature of this model is to take into consideration the probabilistic characteristics of transitions from state to state along with time characteristics. As part of the simulation, the following stages of the study were performed. To schematically describe the procedures for studying software vulnerabilities, a structural model of this process has been constructed. A "reference GERT model" has been developed for investigating software vulnerabilities. The process was described in the form of a standard GERT network. The algorithm of equivalent transformations of the GERT network has been improved, which differs from known ones by considering the capabilities of the extended range of typical structures of parallel branches between neighboring nodes. Analytical expressions are presented to calculate the average time spent in the branches and the probability of successful completion of studies in each node. The calculation of these probabilistic-temporal characteristics has been carried out in accordance with data on the simplified equivalent fuzzy GERT network for the process of investigating software vulnerabilities. Comparative studies were conducted to confirm the accuracy and reliability of the results obtained. The results of the experiment showed that in comparison with the reference model, the fuzziness of the input characteristic of the time of conducting studies of software vulnerabilities was reduced, which made it possible to improve the accuracy of the simulation results.
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Gray, Samuel H. "Gaussian beam migration of common-shot records." GEOPHYSICS 70, no. 4 (July 2005): S71—S77. http://dx.doi.org/10.1190/1.1988186.

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Gaussian beam migration is a depth migration method whose accuracy rivals that of migration by wavefield extrapolation — so-called “wave-equation migration” — and whose efficiency rivals that of Kirchhoff migration. This migration method can image complicated geologic structures, including very steep dips, in areas where the seismic velocity varies rapidly. However, applications of prestack Gaussian beam migration either have been limited to common-offset common-azimuth data volumes, and thus are inflexible, or suffer from multiarrival inaccuracies in a common-shot implementation. In order to optimize both the flexibility and accuracy of Gaussian beam migration, I present a common-shot implementation that handles multipathing in a natural way. This allows the migration of data sets that can include a variety of azimuths, and it allows a simplified treatment of near-surface issues. Application of this method to model data typical of Canadian Foothills structures and to model data that includes a complicated salt body demonstrates the accuracy and versatility of the migration.
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Wang, Jian Hua, Zhao Yang, and Yu Ping Wu. "Calibration Accuracy and Reconstruction Accuracy of Stereovision System." Applied Mechanics and Materials 321-324 (June 2013): 1499–503. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1499.

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Error of stereovision reconstruction comes from feature extraction, correspondence and calibration. This paper is focused on investigation of the relation between reconstruction accuracy and calibration accuracy of a stereovision. A model of stereovision system is established, which consists of two cameras configured with their coordinate not paralleled. An array of points in the common view field of the two cameras is projected onto the image planes of the left and right cameras respectively and forms the left image and right image. After changing the calibration parameters of the stereovision system, including intrinsic parameters of the cameras and their relative position and pose, the array of points are reconstructed and compared with their original positions. The main factors affecting the reconstruction errors are discussed.
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LAYTON, WILLIAM, and ROGER LEWANDOWSKI. "A HIGH ACCURACY LERAY-DECONVOLUTION MODEL OF TURBULENCE AND ITS LIMITING BEHAVIOR." Analysis and Applications 06, no. 01 (January 2008): 23–49. http://dx.doi.org/10.1142/s0219530508001043.

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In 1934, J. Leray proposed a regularization of the Navier–Stokes equations whose limits were weak solutions of the Navier–Stokes equations. Recently, a modification of the Leray model, called the Leray-alpha model, has attracted interest for turbulent flow simulations. One common drawback of the Leray type regularizations is their low accuracy. Increasing the accuracy of a simulation based on a Leray regularization requires cutting the averaging radius, i.e. remeshing and resolving on finer meshes. This article analyzes on a family of Leray type models of arbitrarily high orders of accuracy for a fixed averaging radius. We establish the basic theory of the entire family including limiting behavior as the averaging radius decreases to zero (a simple extension of results known for the Leray model). We also give a more technically interesting result on the limit as the order of the models increases with a fixed averaging radius. Because of this property, increasing the accuracy of the model is potentially cheaper than decreasing the averaging radius (or meshwidth) and high order models are doubly interesting.
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Tucki, Karol, Anna Bączyk, Bartłomiej Rek, and Izabela Wielewska. "The CFD Analysis of the Combustion Chamber in Common Rail Engines." MATEC Web of Conferences 252 (2019): 04001. http://dx.doi.org/10.1051/matecconf/201925204001.

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This paper reports on the development of the geometrical model of the combustion chamber. The results obtained from test were applied to numerical simulations – performed on the Farymann 18WM engine. The analysis was carried out in ANSYS Fluent environment using the finite volume element method. Based on the results, it can be stated that: (1) differences in test and simulation results result from: grid limitations, accuracy of the calculation models, simplifications and limitations of the models, (2) numerical simulations are helpful in determining the parameters of test objects without the need for employing a test set-up, finally, (3) unrestrained adjustment of simulation parameters enables modification of technical parameters of devices to assess their impact on the particular model.
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Fu, Xiao Lei, Bao Ming Jin, Xiao Lei Jiang, and Cheng Chen. "One-dimensional soil temperature assimilation experiment based on unscented particle filter and Common Land Model." E3S Web of Conferences 38 (2018): 03009. http://dx.doi.org/10.1051/e3sconf/20183803009.

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Data assimilation is an efficient way to improve the simulation/prediction accuracy in many fields of geosciences especially in meteorological and hydrological applications. This study takes unscented particle filter (UPF) as an example to test its performance at different two probability distribution, Gaussian and Uniform distributions with two different assimilation frequencies experiments (1) assimilating hourly in situ soil surface temperature, (2) assimilating the original Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST) once per day. The numerical experiment results show that the filter performs better when increasing the assimilation frequency. In addition, UPF is efficient for improving the soil variables (e.g., soil temperature) simulation/prediction accuracy, though it is not sensitive to the probability distribution for observation error in soil temperature assimilation.
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McMeekin, Kevin, Frédéric Sirois, Maxime Tousignant, and Philippe Bocher. "Improving the accuracy of time-harmonic FE simulations in induction heating applications." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 2 (March 6, 2017): 526–34. http://dx.doi.org/10.1108/compel-05-2016-0203.

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Purpose Surface heat treatment by induction heating (10-100 kHz) requires precise prediction and control of the depth of the induced phase transformation. This paper aims at identifying common issues with the measurement and modeling of magnetic properties used in induction heating simulations, and it proposes ways to improve the situation. Design/methodology/approach In particular, it is demonstrated how intrinsic magnetic properties (i.e. the B-H curve) of a sample can change during the magnetic characterization process itself, due to involuntary annealing of the sample. Then, for a B-H curve that is supposed perfectly known, a comparison is performed between multiple models, each one representing the magnetic properties of steel in time-harmonic (TH) finite element method simulations. Finally, a new model called “power-equivalent model” is proposed. This model provides the best possible accuracy for a known nonlinear and hysteretic B-H curve used in TH simulations. Findings By carefully following the guidelines identified in this paper, reduction of errors in the range of 5-10 per cent can be achieved, both at the experimental and modeling levels. The new “power-equivalent model” proposed is also expected to be more generic than existing models. Originality/value This paper highlights common pitfalls in the measurement and modeling of magnetic properties, and suggests ways to improve the situation.
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Svozil, Daniel, and Pavel Jungwirth. "Cluster Model for the Ionic Product of Water: Accuracy and Limitations of Common Density Functional Methods." Journal of Physical Chemistry A 110, no. 29 (July 2006): 9194–99. http://dx.doi.org/10.1021/jp0614648.

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Zhang, Bing, Shanqi Chen, Zhixian Lin, Shaoxuan Wang, Zhen Wang, Daochuan Ge, Dingqing Guo, Jian Lin, Fang Wang, and Jin Wang. "A rapid modeling method and accuracy criteria for common-cause failures in Risk Monitor PSA model." Nuclear Engineering and Technology 53, no. 1 (January 2021): 103–10. http://dx.doi.org/10.1016/j.net.2020.06.021.

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Дисертації з теми "Common accuracy of the model"

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Бакун, Сабіна Антонівна. "Система оцінки кредитоспроможності фізичних осіб з використанням методів регресійного аналізу". Master's thesis, Київ, 2018. https://ela.kpi.ua/handle/123456789/23984.

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Магістерська дисертація: 107 с., 32 рис., 32 табл., 5 додатків, 19 джерел. Актуальність теми: в Україні бурхливо зростає ринок споживчого кредитування. Проте, разом з цим, зростає і кількість неповернених кредитів, що наносить досить великі збитки банківським установам. Таким чином, розробка та застосування систем оцінки кредитоспроможності фізичних осіб у процесі прийняття рішення щодо видачі кредиту є актуальними на сьогоднішній день. Мета даної роботи полягає у дослідженні та вдосконаленні існуючих методик побудови скорингових моделей та розробці системи підтримки прийняття рішень для оцінювання кредитоспроможності фізичних осіб з використанням методу логістичної регресії. Об’єктом дослідження є набір статистичних даних щодо наданих банком споживчих кредитів фізичним особам. Методи дослідження: метод логістичної регресії, метод максимальної правдоподібності, метод градієнтного спуску, операції над матрицями. Програмний продукт реалізований за допомогою мови програмування С# у середовищі розробки Microsoft Visual Studio 2012. Для порівняльного аналізу отриманих результатів були побудовані моделі у вигляді дерев рішень і скорингової карти в системі SAS Enterprise Miner. Отримані результати: розроблено систему підтримки прийняття рішень для прогнозування кредитоспроможності фізичних осіб з використанням методу логістичної регресії та методу максимальної правдоподібності. Запропоновано спосіб використання категоріальних даних в регресійних моделях.
Theme: “System for evaluating the solvency of individuals using regression analysis methods”. Master's thesis explanatory note: 107 p., 32 fig., 32 tab., 5 appendices, 19 sources. Actuality: the consumer lending market is growing rapidly in Ukraine. However, along with this, the number of unreturned loans is increasing, which causes quite large losses to banking institutions. Thus, the development and application of systems for assessing the creditworthiness of individuals in the process of making a decision on the issuance of a loan are actual for today. The purpose of this work is to study and improve existing methods of constructing scoring models and to develop a decision support system for assessing the creditworthiness of individuals using the method of logistic regression. The object of the study is a set of statistical data on consumer loans provided by the bank to individuals. Methods of research: logistic regression method, maximum likelihood method, gradient descent method, operations on matrices. The software product was implemented using the C# programming language in the Microsoft Visual Studio 2012 development environment. For a comparative analysis of the results were built models as decision trees and scorecard in the SAS Enterprise Miner system. Obtained results: a decision support system was developed for predicting the creditworthiness of individuals using the logistic regression method and the maximum likelihood method. The method of using categorical data in regression models is proposed.
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Dusitsin, Krid, and Kurt Kosbar. "Accuracy of Computer Simulations that use Common Pseudo-random Number Generators." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609238.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California
In computer simulations of communication systems, linear congruential generators and shift registers are typically used to model noise and data sources. These generators are often assumed to be close to ideal (i.e. delta correlated), and an insignificant source of error in the simulation results. The samples generated by these algorithms have non-ideal autocorrelation functions, which may cause a non-uniform distribution in the data or noise signals. This error may cause the simulation bit-error-rate (BER) to be artificially high or low. In this paper, the problem is described through the use of confidence intervals. Tests are performed on several pseudo-random generators to access which ones are acceptable for computer simulation.
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Berger, Julia Lizabeth. "Cybervetting: A Common Antecedents Model." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1431690206.

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Fann, Chee Meng. "Development of an artillery accuracy model." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FFann.pdf.

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Thesis (M.S. in Engineering Science (Mechanical Engineering)--Naval Postgraduate School, December 2006.
Thesis Advisor(s): Morris Driels. "December 2006." Includes bibliographical references (p. 91). Also available in print.
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Mersch, Leslie N. "Accuracy Analysis of Common Adult Aging Methods Applied to Near Adult Human Skeletons." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439305302.

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Blackstock, Michael Anthony. "A common model for ubiquitous computing." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2478.

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Ubiquitous computing (ubicomp) is a compelling vision for how people will interact with multiple computer systems in the course of their daily lives. To date, practitioners have created a variety of infrastructures, middleware and toolkits to provide the flexibility, ease of programming and the necessary coordination of distributed software and hardware components in physical spaces. However, to-date no one approach has been adopted as a default or de-facto standard. Consequently the field risks losing momentum as fragmentation occurs. In particular, the goal of ubiquitous deployments may stall as groups deploy and trial incompatible point solutions in specific locations. In their defense, researchers in the field argue that it is too early to standardize and that room is needed to explore specialized domain-specific solutions. In the absence of an agreed upon set of standards, we argue that the community must consider a methodology that allows systems to evolve and specialize, while at the same time allowing the development of portable applications and integrated deployments that work between between sites. To address this we studied the programming models of many commercial and research ubicomp systems. Through this survey we gained an understanding of the shared abstractions required in a core programming model suitable for both application portability and systems integration. Based on this study we designed an extensible core model called the Ubicomp Common Model (UCM) to describe a representative sample of ubiquitous systems to date. The UCM is instantiated in a flexible and extensible platform called the Ubicomp Integration Framework (UIF) to adapt ubicomp systems to this model. Through application development and integration experience with a composite campus environment, we provide strong evidence that this model is adequate for application development and that the complexity of developing adapters to several representative systems is not onerous. The performance overhead introduced by introducing the centralized UIF between applications and an integrated system is reasonable. Through careful analysis and the use of well understood approaches to integration, this thesis demonstrates the value of our methodology that directly leverages the significant contributions of past research in our quest for ubicomp application and systems interoperability.
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Gunner, J. C. "A model of building price forecasting accuracy." Thesis, University of Salford, 1997. http://usir.salford.ac.uk/26702/.

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The purpose of this research was to derive a statistical model comprising the significant factors influencing the accuracy of a designer's price forecast and as an aid to providing a theoretical framework for further study. To this end data, comprising 181 building contract details, was collected from the Singapore office of an international firm of quantity surveyors over the period 1980 to 1991. Bivariate analysis showed a number of independent variables having significant effect on bias which was in general agreement with previous work in this domain. The research also identified a number of independent variables having significant effect on the consistency, or precision, of designers' building price forecasts. With information gleaned from bivariate results attempts were made to build a multivariate model which would explain a significant portion of the errors occurring in building price forecasts. The results of the models built were inconclusive because they failed to satisfy the assumptions inherent in ordinary least squares regression. The main failure in the models was in satisfying the assumption of homoscedasticity, that is, the conditional variances of the residuals are equal around the mean. Five recognised methodologies were applied to the data in attempts to remove heteroscedasticity but none were successful. A different approach to model building was then adopted and a tenable model was constructed which satisfied all of the regression assumptions and internal validity checks. The statistically significant model also revealed that the variable of Price Intensity was the sole underlying influence when tested against all other independentpage xiv variables in the data of this work and after partialling out the effect of all other independent variables. From this a Price Intensity theory of accuracy is developed and a further review of the previous work in this field suggests that this may be of universal application.
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Kim, Ja Young. "Factors affecting accuracy of comparable scores for augmented tests under Common Core State Standards." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/2543.

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Under the Common Core State Standard (CCSS) initiative, states that voluntarily adopt the common core standards work together to develop a common assessment in order to supplement and replace existing state assessments. However, the common assessment may not cover all state standards, so states within the consortium can augment the assessment using locally developed items that align with state-specific standards to ensure that all necessary standards are measured. The purpose of this dissertation was to evaluate the linking accuracy of the augmented tests using the common-item nonequivalent groups design. Pseudo-test analyses were conducted by splitting a large-scale math assessment in half, creating two parallel common assessments, and by augmenting two sets of state-specific items from a large-scale science assessment. Based upon some modifications of the pseudo-data, a simulated study was also conducted. For the pseudo-test analyses, three factors were investigated: (1) the difference in ability between the new and old test groups, (2) the differential effect size for the common assessment and state-specific item set, and (3) the number of common items. For the simulation analyses, the latent-trait correlations between the common assessment and state-specific item set as well as the differential latent-trait correlations between the common assessment and state-specific item set were used in addition to the three factors considered for the pseudo-test analyses. For each of the analyses, four equating methods were used: the frequency estimation, chained equipercentile, item response theory (IRT) true score, and IRT observed score methods. The main findings of this dissertation were as follows: (1) as the group ability difference increased, bias also increased; (2) when the effect sizes differed for the common assessment and state-specific item set, larger bias was observed; (3) increasing the number of common items resulted in less bias, especially for the frequency estimation method when the group ability differed; (4) the frequency estimation method was more sensitive to the group ability difference than the differential effect size, while the IRT equating methods were more sensitive to the differential effect size than the group ability difference; (5) higher latent-trait correlation between the common assessment and state-specific item set was associated with smaller bias, and if the latent-trait correlation exceeded 0.8, the four equating methods provided adequate linking unless the group ability difference was large; (6) differential latent-trait correlations for the old and new tests resulted in larger bias than the same latent-trait correlations for the old and new tests, and (7) when the old and new test groups were equivalent, the frequency estimation method provided the least bias, but IRT true score and observed score equating resulted in smaller bias than the frequency estimation and chained equipercentile methods when group ability differed.
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Linder, Martin. "Common Ancestors in a Generalized Moran model." Licentiate thesis, Uppsala University, Department of Mathematics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122402.

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Xu, Wenwei. "Enhancing model accuracy for control : two case studies /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3074458.

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Книги з теми "Common accuracy of the model"

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Fildes, Robert. Accuracy gains through individual univariate forecasting: Model selection. Manchester: Manchester Business School, 1986.

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2

Miller, Nicholas P., Sean M. Doyle, Bradley L. Nicholas, Monty Gettys, Joe Gettys, and Greg Price. Integrated Noise Model Accuracy for General Aviation Aircraft. Washington, D.C.: Transportation Research Board, 2014. http://dx.doi.org/10.17226/22269.

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Uslar, Mathias, Michael Specht, Sebastian Rohjans, Jörn Trefke, and Jose Manuel Vasquez Gonzalez. The Common Information Model CIM. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25215-0.

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4

Hone, David M. Time and space resolution and mixed layer model accuracy. Monterey, Calif: Naval Postgraduate School, 1997.

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5

Ogawa, Hiroyuki. Testing the accuracy of a three-dimensional acoustic coupled mode model. Monterey, Calif: Naval Postgraduate School, 1991.

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6

Peter, Huxley, ed. Common mental disorders: A bio-social model. London: Tavistock/Routledge, 1992.

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Cameron, Mark. The common factors model for generalist practice. Boston: Pearson Education, 2013.

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Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.

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Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.

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Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. Washington, D.C: American Institute of Aeronautics and Astronautics, 1995.

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Частини книг з теми "Common accuracy of the model"

1

Rui, Zhiqing, Jingzheng Wu, Yanjie Shao, Tianyue Luo, Mutian Yang, Yanjun Wu, and Bin Wu. "PassEye: Sniffing Your Password from HTTP Sessions by Deep Neural Network." In Communications in Computer and Information Science, 3–15. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4922-3_1.

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AbstractPasswords are the most widely used method for user authentication in HTTP websites. Password sniffing attacks are considered a common way to steal password. However, most existing methods have many deficiencies in versatility and automation, such as manual analysis, keyword matching, regular expression and SniffPass. In this paper, to better describe the problem, we propose a HTTP Sessions Password Sniffing (HSPS) attack model which is more suitable in HTTP environment. Furthermore, we propose PassEye, a novel deep neural networkbased implementation of HSPS attack. PassEye is a binary neural network classifier that learns features from the HTTP sessions and identifies Password Authentication Session (PAS). We collected 979,681 HTTP sessions from the HTTP and HTTPS websites for training the binary classifier. The results show that PassEye is effective in sniffing the passwords with an accuracy of 99.38%. In addition, several measures are provided to prevent HSPS attacks in the end.
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Burkholder, Earl F. "Spatial Data Accuracy." In The 3-D Global Spatial Data Model, 305–28. Second edition. | Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315120102-12.

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Masuda-Suzukake, Masami, Aki Shimozawa, Masashi Hashimoto, and Masato Hasegawa. "Common Marmoset Model of." In Methods in Molecular Biology, 131–39. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1495-2_13.

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Prado, Hércules A., Karla F. Machado, Sandra R. Frigeri, and Paulo M. Engel. "Accuracy Tuning on Combinatorial Neural Model." In Methodologies for Knowledge Discovery and Data Mining, 247–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48912-6_33.

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Strug, Joanna. "Mutation Testing in Model Accuracy Assessment." In Advances in Intelligent Systems and Computing, 201–11. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46586-9_16.

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Burkholder, Earl F. "Computing Network Accuracy and Local Accuracy Using the Global Spatial Data Model." In The 3-D Global Spatial Data Model, 365–77. Second edition. | Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315120102-14.

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Matsuhisa, Takashi. "Common-Knowledge and KP-Model." In Intelligent Information and Database Systems, 490–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49381-6_47.

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Edgerton, David. "Extensions to the Common Model." In The Econometrics of Demand Systems, 141–93. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1277-2_6.

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Uslar, Mathias, Michael Specht, Sebastian Rohjans, Jörn Trefke, and José Manuel Vasquez González. "The IEC Common Information Model." In The Common Information Model CIM, 75–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25215-0_3.

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Draper, N. R., and I. Guttman. "A Common Model Selection Criterion." In Probability and Bayesian Statistics, 139–50. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1885-9_14.

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Тези доповідей конференцій з теми "Common accuracy of the model"

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Yonggen Liu, Chenchang Zhan, Tak Sang Yim, and Wing-Hung Ki. "Continuous-time common-mode feedback detection circuits with enhanced detection accuracy." In 2012 IEEE International Conference of Electron Devices and Solid-State Circuits (EDSSC). IEEE, 2012. http://dx.doi.org/10.1109/edssc.2012.6482773.

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Puscasu, Razvan, Pavel Brinzoi, Laurentiu Creosteanu, and Gheorghe Brezeanu. "High accuracy current sense amplifier with extended input common mode range." In 2014 10th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME). IEEE, 2014. http://dx.doi.org/10.1109/prime.2014.6872670.

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Florez, Alexander Ylnner Choquenaira, Braulio Valentin Sanchez Vinces, Diana Carolina Roca Arroyo, Josimar Edinson Chire Saire, and Patricia Batista Franco. "Experimental Evaluation of Accuracy of Most Common Machine Learning Models using Pulsar Data Set." In 2020 International Conference of Digital Transformation and Innovation Technology (Incodtrin). IEEE, 2020. http://dx.doi.org/10.1109/incodtrin51881.2020.00027.

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Radcliffe, Clark. "An Analytical Mechatronic Model for Series DC Motors Using Manufacturer Test Data." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2549.

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Direct Current (DC) Motors are one of the most common mechatronic actuators. They are important for electromechanical servo systems, drivers for battery powered appliances and tools as well as electric vehicles. Both brushless DC motors and wound DC motors are common in electric and hybrid vehicles. The series wound DC motor is commonly used for high torque vehicle applications. The literature has many papers discussing permanent magnet DC motors but a very limited number of publications on analytical models for series wound DC motors, especially motor models that fit series wound DC motor test data available in the market place. An analytical model for a series wound DC motor is developed here based on physical principles including energy conservation. The model developed will be compared with models developed by other investigators. Available commercial test data for a series motor will be used to find model parameters for the analytical model and the accuracy of this model evaluated against the original test data. The model developed displays excellent accuracy well within the accuracy of the test data available. Typical model rms deviation from test data is under 2% for the commercial series wound DC motors evaluated.
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Toyota, Yoshitaka, Youhei Sakai, Makoto Torigoe, Ryuji Koga, Tetsushi Watanabe, and Osami Wada. "Fast and Accurate Estimation of Radiated Emission from Printed Circuit Board Using Common-mode Antenna Model Based on Common-Mode Potential Distribution." In 2007 IEEE International Symposium on Electromagnetic Compatibility. IEEE, 2007. http://dx.doi.org/10.1109/isemc.2007.138.

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Ouyang, Linshu, Yongzheng Zhang, Hui Liu, Yige Chen, and Yipeng Wang. "Gated POS-Level Language Model for Authorship Verification." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/557.

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Authorship verification is an important problem that has many applications. The state-of-the-art deep authorship verification methods typically leverage character-level language models to encode author-specific writing styles. However, they often fail to capture syntactic level patterns, leading to sub-optimal accuracy in cross-topic scenarios. Also, due to imperfect cross-author parameter sharing, it's difficult for them to distinguish author-specific writing style from common patterns, leading to data-inefficient learning. This paper introduces a novel POS-level (Part of Speech) gated RNN based language model to effectively learn the author-specific syntactic styles. The author-agnostic syntactic information obtained from the POS tagger pre-trained on large external datasets greatly reduces the number of effective parameters of our model, enabling the model to learn accurate author-specific syntactic styles with limited training data. We also utilize a gated architecture to learn the common syntactic writing styles with a small set of shared parameters and let the author-specific parameters focus on each author's special syntactic styles. Extensive experimental results show that our method achieves significantly better accuracy than state-of-the-art competing methods, especially in cross-topic scenarios (over 5\% in terms of AUC-ROC).
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Ponti, Fabrizio, Vittorio Ravaglioli, and Matteo De Cesare. "Development of a Common Rail Diesel Engine Combustion Model for ROHR Real-Time Estimation." In ASME 2011 Internal Combustion Engine Division Fall Technical Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/icef2011-60153.

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Combustion control is a crucial aspect in modern Diesel engines control strategies, mainly due to the requests to increase efficiency and maintain pollutant emissions within the values bounded by standard regulations. In order to perform an accurate combustion control, modern “closed loop” control algorithms require the evaluation of a large number of quantities that provide information about combustion process effectiveness. This work presents a methodology that allows real-time estimation of energy released, during the combustion process, in a Common Rail Multi-Jet Diesel engine. This procedure can be divided in two main steps. The first step consists in the development of a zero-dimensional combustion model based on the linear combination of a proper number of Wiebe functions. In this case, a zero-dimensional approach has been chosen, because it is accurate enough for this analysis and requires low computational efforts. Once the combustion model has been developed, it can be used to determine Rate of Heat Release (RoHR) and the angular position in which 50% of fuel burned within an engine cycle is reached (MFB50). The second section of this work describes the relationships existing between injection parameters (such as Start of Injection, injected fuel quantities, rail pressure...) and the Wiebe parameters identified in the first step of the procedure. The above mentioned relationships have been used to set up correlations that allow estimating Wiebe parameters, therefore ROHR and MFB50, starting from injection parameters. The results obtained in MFB50 estimation are particularly emphasized, because real-time knowledge of this quantity is necessary to feedback a control algorithm for optimal combustion positioning. This work is based on several experimental tests performed on a 2.2 liters Common Rail Multi-Jet Diesel engine. First, experimental tests have been carried out to identify the combustion model and the correlations existing between Wiebe parameters and injection parameters. Then, in order to determine the accuracy of the approach, the complete estimation methodology has been applied to the engine under study. This work describes a methodology for real-time estimation of several quantities that provide important information about combustion process effectiveness (useful, for example, in modern low temperature combustion control systems). No extra cost is needed, because the methodology requires no additional sensor.
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Lygidakis, Georgios N., and Ioannis K. Nikolos. "Assessment of the Academic CFD Code “Galatea” Using the NASA Common Research Model (CRM)." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20265.

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CFD (Computational Fluid Dynamics) algorithms are nowadays a necessary tool in the aerospace science, as their application allows for the prediction of the aerodynamic characteristics of complete aircraft configurations in a relatively short period of time. A brief presentation and evaluation of such a recently developed academic code, named Galatea, is the main goal of this study. Galatea employs the Reynolds Averaged Navier-Stokes (RANS) equations, discretized with a node-centered finite-volume scheme on three-dimensional unstructured hybrid grids for the simulation of inviscid and viscous compressible fluid flows. For the turbulence prediction appropriate turbulence models (k-ε, k-ω and SST) have been incorporated, while for the acceleration of the solution an agglomeration multigrid scheme along with a suitable parallelization strategy are employed. For the assessment of this algorithm runs over the wing-body and the wing-body-horizontal tail NASA Common Research Model (CRM) configurations were performed, allowing for a comparison in terms of accuracy of the obtained results with the experimental wind tunnel data, as well as with the computational results of corresponding reference solvers.
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Roy, Ranjan Kumar, Koyel Ghosh, and Apurbalal Senapati. "Stock Price Prediction: LSTM Based Model." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.19.

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Stock price prediction is a critical field used by most business people and common or retail people who tried to increase their money by value with respect to time. People will either gain money or loss their entire life savings in stock market activity. It is a chaos system. Building an accurate model is complex as variation in price depends on multiple factors such as news, social media data, and fundamentals, production of the company, government bonds, historical price and country's economics factor. Prediction model which considers only one factor might not be accurate. Hence incorporating multiple factors news, social media data and historical price might increase the model's accuracy. This paper tried to incorporate the issue when someone implements it as per the model outcome. It cannot give the proper result when someone implements it in real life since capital market data is very sensitive and news-driven. To avoid such a situation, we use the hedging concept when implemented.
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Cloutier, Aimee, and James Yang. "Force Optimization Approaches for Common Anthropomorphic Grasps." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60346.

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A smart choice of contact forces between robotic grasping devices and objects is important for achieving a balanced grasp. Too little applied force may cause an object to slip or be dropped, and too much applied force may cause damage to delicate objects. Prior methods of grasping force optimization in literature have mostly assumed grasp only at the fingertips but have rarely considered how the whole hand grasps more common to anthropomorphic hands affect the optimization of grasping forces. Further, although numerical examples of grasping force optimization methods are routinely provided, it is often difficult to compare the performance of separate methods when they are evaluated using different parameters, such as the type of grasping device, the object grasped, and the contact model, among other factors. This paper presents three optimization approaches (linear, nonlinear, and nonlinear with linear matrix inequality (LMI) friction constraints) which are compared for an anthropomorphic hand. Numerical examples are provided for three types of grasp commonly performed by the human hand (cylindrical grasp, tip grasp, and tripod grasp) using both soft finger contact and point contact with friction models. Contact points between the hand and the object are predetermined. Results are compared based on their accuracy, computational efficiency, and other various benefits and drawbacks unique to each method. Future work will extend the problem of grasping force optimization to include consideration for variable forces and object manipulation.
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Звіти організацій з теми "Common accuracy of the model"

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McKinnon, Mark, and Daniel Madryzkowski. Literature Review to Support the Development of a Database of Contemporary Material Properties for Fire Investigation Analysis. UL Firefighter Safety Research Institute, June 2020. http://dx.doi.org/10.54206/102376/wmah2173.

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The NIJ Technology Working Group’s Operational Requirements (TWG ORs) for Fire and Arson Investigation have included several scientific research needs that require knowledge of the thermophysical properties of materials that are common in the built environment, and therefore likely to be involved in a fire scene. The specific areas of research include: adequate materials property data inputs for accurate computer models, understanding the effect of materials properties on the development and interpretation of fire patterns, and evaluation of incident heat flux profiles to walls and neighboring items in support of fire model validation. These topics certainly address, in a concise way, many of the gaps that limit the analysis capability of fire investigators and engineers. Each of the three aforementioned research topics rely, in part, on accurate knowledge of the physical conditions of a material prior to the fire, how the material will respond to the exposure of heat, and how it will perform once it has ignited. This general information is required to visually assess a fire scene. The same information is needed by investigators to estimate the evolution and consequences of a fire incident using a computer model. Data sources that are currently most commonly used to determine the required properties and model inputs are outdated and incomplete. This report includes the literature review used to provide a technical approach to developing a materials database for use in fire investigations and computational fire models. A summary of the input from the project technical panel is presented which guided the initial selection of materials to be included in the database as well as the selection of test measurements.
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Deluca, Cecelia, and Melinda Peng. ESPC Common Model Architecture. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada616401.

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Ribeiro, João A., Paulo J. Pereira, and Elísio M. Brandão. A real options model to determine the optimal contractual penalty for a BOT project. CICEE. Universidade Autónoma de Lisboa, 2021. http://dx.doi.org/10.26619/ual-cicee/wp06.2021.

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Public-Private Partnerships (PPP) became one of the most common types of public procurement arrangements and Build-Own-Transfer (BOT) projects, awarded through adequate bidding competitions, have been increasingly promoted by governments. The theoretical model herein proposed is based on a contractual framework where the government grants leeway to the private entity regarding the timing for project implementation. However, the government is aware that delaying the beginning of operations will lead to the emergence of social costs, i.e., the costs that result from the corresponding loss of social welfare. This fact should motivate the government to include a contractual penalty in case the private firm does not implement the project immediately. The government also recognizes that the private entity is more efficient in constructing the project facility and also in running the subsequent operations. The model’s outcome is the optimal value for the legal penalty the government should include in the contract form. Sensitivity analysis reveals that there is a level for each of the comparative efficiency factors above which there is no need to impose a contractual penalty, for a given level of social costs. Finally, the effects of including a non-optimal penalty value in the contract form, which derives from overestimating or underestimating the selected bidder’s real comparative efficiency are examined, using a numerical example. Results demonstrate that overestimating (underestimating) the selected bidder’s real comparative efficiency leads to the inclusion of a below-optimal (above-optimal) value for the legal penalty in the contract and produces effects the government should prevent by estimating the comparative efficiency factors with full accurac.
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Hembree, Charles E., Alan Mar, and Perry J. Robertson. High Accuracy Transistor Compact Model Calibrations. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1222177.

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Bass, J. N., N. Grossbard, and E. C. Robinson. Statistical Parameters for Describing Model Accuracy. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada209933.

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Lambert, M. A Model for Common Operational Statistics. RFC Editor, October 1995. http://dx.doi.org/10.17487/rfc1857.

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Stockman, B. A Model for Common Operational Statistics. RFC Editor, January 1993. http://dx.doi.org/10.17487/rfc1404.

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Ramirez, A., and S. Myers. Accuracy tests of the tessellated SLBM model. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/921153.

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Sauter, Barbara. Forecast Model Uncertainty; MM5 Accuracy Over Utah. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada422720.

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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, control, structure and crop). 2. Using these models, develop algorithms for an early detection of deviations from the normal. 3. Develop identifying procedures for the most important faults. 4. Develop accommodation procedures while awaiting a repair. The Technion team focused on the shoot environment and the Cornell University team focused on the root environment. Achievements Models: Accurate models were developed for both shoot and root environment in the greenhouse, utilizing neural networks, sometimes combined with robust physical models (hybrid models). Suitable adaptation methods were also successfully developed. The accuracy was sufficient to allow detection of frequently occurring sensor and equipment faults from common measurements. A large data base, covering a wide range of weather conditions, is required for best results. This data base can be created from in-situ routine measurements. Detection and isolation: A robust detection and isolation (formerly referred to as 'identification') method has been developed, which is capable of separating the effect of faults from model inaccuracies and disturbance effects. Sensor and equipment faults: Good detection capabilities have been demonstrated for sensor and equipment failures in both the shoot and root environment. Water stress detection: An excitation method of the shoot environment has been developed, which successfully detected water stress, as soon as the transpiration rate dropped from its normal level. Due to unavailability of suitable monitoring equipment for the root environment, crop faults could not be detected from measurements in the root zone. Dust: The effect of screen clogging by dust has been quantified. Implications Sensor and equipment fault detection and isolation is at a stage where it could be introduced into well equipped and maintained commercial greenhouses on a trial basis. Detection of crop problems requires further work. Dr. Peleg was primarily responsible for developing and implementing the innovative data analysis tools. The cooperation was particularly enhanced by Dr. Peleg's three summer sabbaticals at the ARS, Northem Plains Agricultural Research Laboratory, in Sidney, Montana. Switching from multi-band to hyperspectral remote sensing technology during the last 2 years of the project was advantageous by expanding the scope of detected plant growth attributes e.g. Yield, Leaf Nitrate, Biomass and Sugar Content of sugar beets. However, it disrupted the continuity of the project which was originally planned on a 2 year crop rotation cycle of sugar beets and multiple crops (com and wheat), as commonly planted in eastern Montana. Consequently, at the end of the second year we submitted a continuation BARD proposal which was turned down for funding. This severely hampered our ability to validate our findings as originally planned in a 4-year crop rotation cycle. Thankfully, BARD consented to our request for a one year extension of the project without additional funding. This enabled us to develop most of the methodology for implementing and running the hyperspectral remote sensing system and develop the new analytical tools for solving the non-repeatability problem and analyzing the huge hyperspectral image cube datasets. However, without validation of these tools over a ful14-year crop rotation cycle this project shall remain essentially unfinished. Should the findings of this report prompt the BARD management to encourage us to resubmit our continuation research proposal, we shall be happy to do so.
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