Relevant bibliographies by topics / Rating estimation methods

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rating estimation methods'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Rating estimation methods"

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Gong, Wei, Yanqiong Xu, and Yufei Liu. "Field attenuation characteristics of hearing protectors and differences in estimating their attenuation with different methods." Journal of the Acoustical Society of America 151, no. 6 (2022): 3979–92. http://dx.doi.org/10.1121/10.0011512.

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This study investigated the field attenuation characteristics of hearing protection devices (HPDs), differences in estimating the protection provided by HPDs with different rating methods, and suggested potential solutions on proper use of attenuation ratings to estimate the protection provided by HPDs. The binaural octave-band personal attenuation values obtained from 1583 field users with 3985 fits on seven HPDs were used to compute the field-rating values as described in the International Organization for Standardization standard ISO 4869-2:2018, and the octave-band noise reduction (OB NR)
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Zhang, Qi, Longbing Cao, Chongyang Shi, and Liang Hu. "Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (2021): 4671–78. http://dx.doi.org/10.1609/aaai.v35i5.16597.

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Most collaborative filtering (CF) models estimate missing ratings with an implicit assumption that the ratings are missing-at-random, which may cause the biased rating estimation and degraded performance since recent deep exploration shows that ratings may likely be missing-not-at-random (MNAR). To debias MNAR rating estimation, we introduce item observability and user selection to depict the generation of MNAR ratings and propose a tripartite CF (TCF) framework to jointly model the triple aspects of rating generation: item observability, user selection, and ratings, and to estimate the MNAR r
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Tysk, Lennart. "Longitudinal Changes in Time Estimation in Affective Disorders: A Preliminary Study." Perceptual and Motor Skills 60, no. 1 (1985): 179–88. http://dx.doi.org/10.2466/pms.1985.60.1.179.

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8 patients with hospital diagnoses of major affective disorder were studied by repeated measurements of time estimation using the three different methods of metronome adjustment, verbal estimation and operative estimation (production) of short time intervals. Retrospective estimations of longer intervals were also studied. The diagnoses were evaluated according to DSM III criteria. The degree of mental disturbance was rated with subscales of the Comprehensive Psychopathological Rating Scale. Earlier findings had indicated that manic patients tend to overestimate short time intervals and that s
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Kravets, Tatyana. "RATING ESTIMATIONS OF THE ENTERPRISES: PROBLEMS AND MODELING." Ekonomika 88 (January 1, 2009): 83–89. http://dx.doi.org/10.15388/ekon.2009.0.1034.

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In modern times improvement of the estimation techniques related to the productivity of economic objects y is topical. The article deals with the problems of construction of the rating systems for the estimation of enterprises not related to the financial sector of the economy according to the results of their activity for a calendar year. yea. In order to construct the aggregated indicators for the estimation of the efficiency of the enterprise activity it proposes to unite thepossibilities of the classical financial analysis and the methods of the multidimensional statistical analysis. The c
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Kędzior, Anna, and Konrad Kułakowski. "Multiple-Criteria Heuristic Rating Estimation." Mathematics 11, no. 13 (2023): 2806. http://dx.doi.org/10.3390/math11132806.

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One of the most widespread multi-criteria decision-making methods is the Analytic Hierarchy Process (AHP). AHP successfully combines the pairwise comparisons method and the hierarchical approach. It allows the decision-maker to set priorities for all ranked alternatives. But what if, for some of them, their ranking value is known (e.g., it can be determined differently)? The Heuristic Rating Estimation (HRE) method proposed in 2014 tried to bring the answer to this question. However, the considerations were limited to a model only considering a few criteria. This work analyzes how HRE can be u
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Takama, Yasufumi, and Yuki Muto. "Profile Generation for TV Program Recommendation Based on Utterance Analysis." Journal of Advanced Computational Intelligence and Intelligent Informatics 13, no. 2 (2009): 86–90. http://dx.doi.org/10.20965/jaciii.2009.p0086.

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This paper proposes a method for generating user profile that is to be used for TV program recommendation. The proposed method does not estimate user's interest in a TV program only based on its watching time as most of existing methods do, but also based on user's utterances by applying sentiment analysis. Three kinds of scores are calculated for each watched program, based on which fuzzy inference is performed to estimate its rating. After the estimation, profile structure is obtained by generating category and subcategory layers. This paper mainly focuses on estimation of users' ratings on
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Gharari, Shervan, Paul H. Whitfield, Alain Pietroniro, Jim Freer, Hongli Liu, and Martyn P. Clark. "Exploring the provenance of information across Canadian hydrometric stations: implications for discharge estimation and uncertainty quantification." Hydrology and Earth System Sciences 28, no. 19 (2024): 4383–405. http://dx.doi.org/10.5194/hess-28-4383-2024.

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Abstract. Accurate discharge values form the foundation of effective water resource planning and management. Unfortunately, these data are often perceived as absolute and deterministic by users, modelers, and decision-makers, despite the inherent subjectivity and uncertainty in the data preparation processes. This study is undertaken to examine the discharge estimation methods used by the Water Survey of Canada (WSC) and their impacts on reported discharge values. First, we explain the hydrometric station network, essential terminologies, and fundamental concepts of rating curves. Subsequently
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Müller, H., and H. J. Möller. "Methodological considerations and empirical data to the onset of efficacy of antidepressants and to the prediction of therapy outcome." European Psychiatry 12, no. 4 (1997): 177–82. http://dx.doi.org/10.1016/s0924-9338(97)89101-8.

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SummaryIs the onset of efficacy of antidepressants always delayed and which early clinical signs predict final outcome of therapy ? Our analyses show that strict response criteria produce necessarily later onset estimations rather than less strict ones. In two large-scale clinical samples we compared different estimation methods of the day of onset. Patients' direct ratings produced the earliest onset estimations. Because of the strong dependency of onset estimations on measurement methods, we argue that it is still open to debate, in which degree drug response is delayed. Concerning early cli
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González-Cagigal, M. A., José A. Rosendo-Macías, Alfonso Bachiller-Soler, and Juan Carlos del-Pino-López. "Reliability assessment of dynamic line rating methods based on conductor temperature estimation." Electric Power Systems Research 233 (August 2024): 110449. http://dx.doi.org/10.1016/j.epsr.2024.110449.

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D'Rosario, Michael, and Calvin Hsieh. "Predicting Credit Rating Migration Employing Neural Network Models." International Journal of Strategic Decision Sciences 9, no. 4 (2018): 70–85. http://dx.doi.org/10.4018/ijsds.2018100105.

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Credit rating migration ranks amongst the most pertinent issues concerning institutional lenders and investors alike. There are a number of studies that have employed both parametric and non-parametric methodologies to forecast credit rating migration, employing machine learning methods; and notably, artificial intelligence methods becoming increasingly popular. The present study extends upon research within the extant literature employing a novel estimation method, a neural network modelling technique, herewith the MPANN (multi-layer neural network). Consistent with the extant literature, the
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Dissertations / Theses on the topic "Rating estimation methods"

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Westerberg, Ida. "Observational Uncertainties in Water-Resources Modelling in Central America : Methods for Uncertainty Estimation and Model Evaluation." Doctoral thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-152074.

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Knowledge about spatial and temporal variability of hydrological processes is central for sustainable water-resources management, and such knowledge is created from observational data. Hydrologic models are necessary for prediction for time periods and areas lacking data, but are affected by observational uncertainties. Methods for estimating and accounting for such uncertainties in water-resources modelling are of high importance, especially in regions such as Central America. Observational uncertainties were addressed in three ways in this thesis; quality control, quantitative estimation and
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Kettermann, Anna. "Estimation of Standardized Mortality Ratio in Geographic Epidemiology." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/KettermanA2004.pdf.

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Wang, Bingxia. "Estimation of Standardized Mortality Ratio in Epidemiological Studies." Fogler Library, University of Maine, 2002. http://www.library.umaine.edu/theses/pdf/WangB2002.pdf.

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DeYoung, Clara. "Biomass Estimation Using the Component Ratio Method for White Oak." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50421.

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With higher demands on biomass, the ability to accurately estimate the amount in a stand is more important now than ever before. Existing models currently in use by the Forest Inventory and Analysis (FIA) program of the United States Department of Agriculture (USDA) Forest Service include the Component Ratio Method (CRM). However, testing of the CRM models is needed to validate and calibrate them. The objective of this research was to test and develop a system of equations capable of producing consistent volume and biomass estimates for standing trees of commercially important hardwood species
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Alsarhan, Ala'a Mohammad. "Alternative Methods of Estimating the Degree of Uncertainty in Student Ratings of Teaching." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6939.

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This study used simulated results to evaluate four alternative methods of computing confidence intervals for class means in the context of student evaluations of teaching in a university setting. Because of the skewed and bounded nature of the ratings, the goal was to identify a procedure for constructing confidence intervals that would be asymmetric and not dependent upon normal curve theory. The four methods included (a) a logit transformation, (b) a resampling procedure, (c) a nonparametric, bias corrected accelerated Bootstrapping procedure, and (d) a Bayesian bootstrap procedure. The meth
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Paříková, Adéla. "Hedge Ratio Estimation: Comparison of Constant OLS, ARCH and GARCH Approaches." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-206944.

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Volatile prices of commodities relate to financial risk faced by individuals or economic subjects exposed to them. One way to minimize the impact of change in market price is to use its hedging by futures contracts. The optimal hedge ratio estimation (ratio between units of spot and futures contracts) is the focus of this study. Its objective is to compare hedge ratios based on minimum variance methodology using three methods - OLS, ARCH and GARCH, by measuring their hedging effectiveness using variance and value at risk reduction. The results differ across commodities, however several conclus
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Velka, Elina. "Loss Given Default Estimation with Machine Learning Ensemble Methods." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279846.

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This thesis evaluates the performance of three machine learning methods in prediction of the Loss Given Default (LGD). LGD can be seen as the opposite of the recovery rate, i.e. the ratio of an outstanding loan that the loan issuer would not be able to recover in case the customer would default. The methods investigated are decision trees, random forest and boosted methods. All of the methods investigated performed well in predicting the cases were the loan is not recovered, LGD = 1 (100%), or the loan is totally recovered, LGD = 0 (0% ). When the performance of the models was evaluated on a d
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Brancamp, Tami Urbani. "Correspondence between nasalance scores and nasality ratings with equal appearing intervals and direct magnitude estimation scaling methods." abstract and full text PDF (free order & download UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3307133.

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Sisman, Fatma Nurten. "Estimation Of Dynamic Soil Properties And Soil Amplification Ratios With Alternative Techniques." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615501/index.pdf.

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Earthquakes are among the most destructive natural disasters affecting urban populations. Structural damage caused by the earthquakes varies depending not only on the seismic source and propagation properties but also on the soil properties. The amplitude and frequency content of seismic shear waves reaching the earth&rsquo<br>s surface is dependent on local soil conditions. It is well known that the soft sediments on top of hard bedrock can greatly amplify the ground motion and cause severe structural damage. When the fundamental period of the soil is close to the fundamental period of a stru
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Smith, Geoffrey Hutchinson. "New methods for projecting enrollments within urban school districts." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5995.

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This dissertation models K-12 enrollment within an urban school district using two grade progression ratio (gpr)-based and two housing choice methods. The housing choice methods provide, for the first time, a new spatio-demographic model for projecting school enrollments by grade for any flexibly defined set of individual catchment areas. All methods use the geocoded pattern of individual, address-matched, enrollments within the study district but are different in the way they model this data to estimate key parameters. The conventional method projects the intra-urban pattern of enrollment by
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Books on the topic "Rating estimation methods"

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Konrad, Paul Markus. Calibration of Rating Models: Estimation of the Probability of Default Based on Advanced Pattern Classification Methods. Tectum Verlag, 2014.

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Streiner, David L., Geoffrey R. Norman, and John Cairney. Scaling responses. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0004.

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This chapter presents various ways of presenting the response options to the respondent. It begins by discussing why dichotomous responses (e.g. yes/no, true/false) are often inadequate. Different alternatives are discussed, including direct estimation methods (e.g. visual analogue scales, adjectival scales, Likert scales), comparative methods (e.g. paired comparisons, Guttman scaling), and econometric methods. It reviews some of the issues that need to be considered in writing the response options, such as whether one should use a unipolar or bipolar scale, how many steps there should be, and
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Book chapters on the topic "Rating estimation methods"

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Chen, Sheng-Syan, Cheng-Few Lee, Fu-Lai Lin, and Keshab Shrestha. "Three Alternative Methods for Estimating Hedge Ratios." In Encyclopedia of Finance. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91231-4_74.

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Chen, Sheng-Syan, Cheng-Few Lee, Fu-Lai Lin, and Keshab Shrestha. "Three Alternative Methods for Estimating Hedge Ratios." In Encyclopedia of Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73443-5_74-1.

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Zou, Junping, and Jiexian Wang. "Real-Time Estimation of GPS Satellite Clock Errors and Its Precise Point Positioning Performance." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_83.

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AbstractThe current stochastic model in GNSS processing is constructed based on the prior experience, for example the ratio of the weight of the pseudorange and phase observations is generally determined as 1:10000. These methods ignore the precision differences of the different GNSS receivers and observation space. In this paper, the standard deviation of differenced ionosphere-free pseudorange and phase observations is computed with dual-frequency observations and then the weight ratio of the pseudorange and phase observations is obtained using the computed standard deviation. This method is
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Starke, Ludger, Thoralf Niendorf, and Sonia Waiczies. "Data Preparation Protocol for Low Signal-to-Noise Ratio Fluorine-19 MRI." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-0978-1_43.

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AbstractFluorine-19 MRI shows great promise for a wide range of applications including renal imaging, yet the typically low signal-to-noise ratios and sparse signal distribution necessitate a thorough data preparation.This chapter describes a general data preparation workflow for fluorine MRI experiments. The main processing steps are: (1) estimation of noise level, (2) correction of noise-induced bias and (3) background subtraction. The protocol is supplemented by an example script and toolbox available online.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven
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Hoffmann, J., and D. W. Lübbers. "Estimation of Concentration Ratios and the Redox States of the Cytochromes from Noisy Reflection Spectra Using Multicomponent Analysis Methods." In Oxygen Transport to Tissue VIII. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4684-5188-7_16.

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Ferrer, Carlos A., Eduardo González, and María E. Hernández-Díaz. "Evaluation of Time and Frequency Domain-Based Methods for the Estimation of Harmonics-to-Noise-Ratios in Voice Signals." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11892755_42.

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Shen, Zhiliang. "A New Method for Estimating Fine-Sediment Resuspension Ratios in Estuaries—Takes the Changjiang Estuary as an Example." In Studies of the Biogeochemistry of Typical Estuaries and Bays in China. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58169-8_7.

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D'Rosario, Michael, and Calvin Hsieh. "Predicting Credit Rating Migration Employing Neural Network Models." In Natural Language Processing. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0951-7.ch005.

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Credit rating migration ranks amongst the most pertinent issues concerning institutional lenders and investors alike. There are a number of studies that have employed both parametric and non-parametric methodologies to forecast credit rating migration, employing machine learning methods; and notably, artificial intelligence methods becoming increasingly popular. The present study extends upon research within the extant literature employing a novel estimation method, a neural network modelling technique, herewith the MPANN (multi-layer neural network). Consistent with the extant literature, the
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Hugo Mosquera, Víctor. "Noninvasive Bladder Volume Monitoring Using Bioimpedance." In Urinary Tract Infections [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.110415.

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Due to the electrical conductivity of the urine, several bioimpedance techniques have been considered for bladder volume monitoring. This chapter shows several approaches for bladder volume estimation; among these, Global Impedance (GI), presents a high accuracy in volume estimation. Other proposed approaches are Voltage Change Ratios (VCR), Impedance Ratio Method (IRM), and Focused Impedance Method (FIM), which presents highly sensitive to changes in the conductivity, just like GI. Therefore, these approaches are not suitable for long-term monitoring of the bladder, because the conductivity o
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Streiner, David L., Geoffrey R. Norman, and John Cairney. "Scaling responses." In Health Measurement Scales, 6th ed. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/med/9780192869487.003.0004.

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Abstract This chapter presents various ways of presenting the response options to the respondent. It begins by discussing why dichotomous responses (e.g. yes/no, true/false) are often inadequate. Different alternatives are discussed, including direct estimation methods (e.g. visual analogue scales, adjectival scales, Likert scales), comparative methods (e.g. paired comparisons, Guttman scaling), and econometric methods. It reviews some of the issues that need to be considered in writing the response options, such as whether one should use a unipolar or bipolar scale, how many steps there shoul
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Conference papers on the topic "Rating estimation methods"

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Hayden, Thomas, Christian Akuchie, and Joseph Mazzella. "Computational Methods for Estimating Pipeline High Voltage Induction Susceptibility." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20738.

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Abstract Estimating inductive corrosion susceptibility to pipeline systems from high-voltage transmission equipment is a well-studied problem. The mathematics for computing induced current is well known, dating back to fundamental 19th-century electromagnetism research. Yet, estimating induced current using those calculus-based equations is rarely done due to computational and data requirements. As such, most high-voltage induction risk studies use a series of approximations. The need for improved susceptibility estimation has expanded in the last two years alone. Due to economic and environme
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Haynes, Robert, Chi-yu Shiao, and Tzikang Chen. "Investigation of Probabilistic Failure Predictions with Progressive Damage in Composites." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9637.

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Three probabilistic techniques are compared that allow for the estimation of sensitivity of a system to statistically distributed input parameters. These methods could be useful for estimating sensitivity of the system with an intractable response surface that must be calculated numerically using computational algorithms such as Monte Carlo experiments. All three methods estimate the baseline response using a Monte Carlo experiment. Two of the methods estimate the perturbed response using additional Monte Carlo experiments based on perturbed input parameters, generated either with a different
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Qin, Ziyang, and Mingxing Tian. "System Inertia Estimation Method Based on New Energy Output Ratio." In 2024 6th International Conference on Energy Systems and Electrical Power (ICESEP). IEEE, 2024. http://dx.doi.org/10.1109/icesep62218.2024.10651965.

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"Incorporating Context into Recommender Systems Using Multidimensional Rating Estimation Methods." In The First International Workshop on Web Personalization, Recommender Systems and Intelligent User Interfaces. SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0001421700030013.

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Lootsma, F. A. "Ratio and Difference Estimation in Multi-Criteria Decision Analysis." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0416.

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Abstract Since decisions are invariably made within a given context, we model relative preferences as ratios of increments or decrements in an interval on the axis of desirability. Next, we sort the ratio magnitudes into a small number of categories, represented by numerical values on a geometric scale. We explain why the Analytic Hierarchy Process (AHP), typically based on a pairwise-comparison method, is concerned with category judgement of ratio magnitudes, whereas the Simple Multi-Attribute Rating Technique (SMART) essentially uses the orders of magnitude of these ratios. This provides a c
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Saito, Yuta, and Masahiro Nomura. "Towards Resolving Propensity Contradiction in Offline Recommender Learning." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/307.

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We study offline recommender learning from explicit rating feedback in the presence of selection bias. A current promising solution for dealing with the bias is the inverse propensity score (IPS) estimation. However, the existing propensity-based methods can suffer significantly from the propensity estimation bias. In fact, most of the previous IPS-based methods require some amount of missing-completely-at-random (MCAR) data to accurately estimate the propensity. This leads to a critical self-contradiction; IPS is ineffective without MCAR data, even though it originally aims to learn recommend
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Song, Kaisong, Wei Gao, Shi Feng, Daling Wang, Kam-Fai Wong, and Chengqi Zhang. "Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/382.

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Review rating prediction is an important research topic. The problem was approached from either the perspective of recommender systems (RS) or that of sentiment analysis (SA). Recent SA research using deep neural networks (DNNs) has realized the importance of user and product interaction for better interpreting the sentiment of reviews. However, the complexity of DNN models in terms of the scale of parameters is very high, and the performance is not always satisfying especially when user-product interaction is sparse. In this paper, we propose a simple, extensible RS-based model, called Text-d
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Gödker, Markus, and Thomas Franke. "Assessing Energy-Related Situation Awareness Using Self-Controlled Occlusion During Electric Vehicle Driving Scenes." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005219.

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Optimal eco-driving in electric vehicles (EVs) can be challenging due to volatile, bidirectional energy flows and the difficulty of directly sensing energy flows. The present research investigates energy-related situation awareness (Energy Dynamics Awareness, EDA) as a pilot study. EDA is a theoretical concept that helps to describe and understand how visual energy feedback displays inform energy-efficient vehicle control decisions. We compared three methods (estimation tasks, subjective EDA rating scale, and gaze behavior metric) to assess EDA under two different workload conditions, using a
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Nass, Susanne, Andre Sprenger, and Reiner Anderl. "Methodology for Estimation of Life Cycle Orientated Optimizatation Measures of Investment Goods." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39693.

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A manufacturer of any kind of product has to be in contrast to competitive to survive on market. A major point to win a customer over is the arrangements of costs. In investment goods industry asset cost are just the tip of the iceberg. Most of their costs accrue by use. Because of that it is important to overview the whole costs of the product life cycle. Product life cycle costs describe the cost of a product over its whole life. This includes all expenses from development, production and use to recycling and refers to manufacturer and customer equally. The majority of costs are determined i
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Aziz, El-Sayed, and C. Chassapis. "A Knowledge-Based Approach to Spur Gear Fabrication in Precision Forging Process." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34089.

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Designing forged gears with constrained involute tooth profile is a time-consuming activity with high costs due to the complexity in the plastic deformation, machine limitations, and trial-error iterative methods used to design dies and develop process conditions. Recently, knowledge-based systems are proving to be a powerful tool and a great potential for developing intelligent design support systems to improve quality of products and reduce costs by eliminating or minimizing many of the trail-error iterations involved in process design. This paper describes research work in developing a know
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Reports on the topic "Rating estimation methods"

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Luceadams, Matthew. Time-average holographic estimation of Poisson's ratio by Cornu's method from mode shapes. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1992232.

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Rana, Arnav, Sanjay Tiku, and Aaron Dinovitzer. PR-214-203806-R01 Improve Dent-Cracking Assessment Methods. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012227.

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This work was funded in part, under the Department of Transportation, Pipeline and Hazardous Materials Safety Administration. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Pipeline and Hazardous Materials Safety Administration, the Department of Transportation, or the U.S. Government. This project builds on mechanical damage (MD) assessment and management tools, developed on behalf of Pipeline Research Council International (PRCI), Interstate Natural Gas Asso
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Gesh, Christopher J. A Graphite Isotope Ratio Method: A Primer on Estimating Plutonium Production in Graphite Moderated Reactors. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/15010619.

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Domanski, Piotr A., and Byoung Soon Kim. Method for estimating the energy efficiency ratio of mixed system air conditioners and heat pumps. National Institute of Standards and Technology, 1997. http://dx.doi.org/10.6028/nist.ir.6045.

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Azzi, Elias S., Cecilia Sundberg, Helena Söderqvist, Tom Källgren, Harald Cederlund, and Haichao Li. Guidelines for estimation of biochar durability : Background report. Department of Energy and Technology, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.lkbuavb9qc.

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Biochar is produced by heating biomass in the total or partial absence of oxygen. This report addresses the long-term persistence of biochar in soil and how this can be managed in climate calculations and reporting. The report consists of this summary and four chapters, which can be read independently. Different terms have been used to describe the durability of biochar carbon storage, but also the physical presence of biochar in soils, e.g. persistence, permanence, recalcitrance, residence times, stability. Today, the term “durability of carbon storage” is preferred in policy contexts, but va
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Gordon, Robert. A New Method of Estimating Potential Real GDP Growth: Implications for the Labor Market and the Debt/GDP Ratio. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20423.

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Fourqurean, James, Johannes Krause, Juan González-Corredor, Tom Frankovich, and Justin Campbell. Caricas Partner's Practical Field and Laboratory Guide. Florida International University, 2024. http://dx.doi.org/10.25148/merc_fac.2024.32.

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This field and laboratory guide describes the field and laboratory methods used to characterize blue carbon in seagrass meadows. It was developed for the Caribbean Carbon Accounting in Seagrass project and describes the protocols and methods used by the network. In brief, at each project site, seagrass abundance, species composition, canopy height, and sediment type were assessed at sixteen 0.25 m2 quadrats placed at random locations within the site. Eight 20 cm diameter cores were taken to assess seagrass biomass, shoot density, and to provide the material for assessing seagrass carbon and nu
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Townsend, Richard L., and John R. Skalski. Design and Analysis of Salmonid Tagging Studies in the Columbia Basin, Volume IX; Comparison of Statistical Methods of Estimating Treatment-Control Ratios Using Coded-Wire Tags, Based on Spring Chinook Salmon on the Columbia River, 1986-1988 Technical Report. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/774834.

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Rahmani, Mehran, Xintong Ji, and Sovann Reach Kiet. Damage Detection and Damage Localization in Bridges with Low-Density Instrumentations Using the Wave-Method: Application to a Shake-Table Tested Bridge. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2033.

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This study presents a major development to the wave method, a methodology used for structural identification and monitoring. The research team tested the method for use in structural damage detection and damage localization in bridges, the latter being a challenging task. The main goal was to assess capability of the improved method by applying it to a shake-table-tested prototype bridge with sparse instrumentation. The bridge was a 4-span reinforced concrete structure comprising two columns at each bent (6 columns total) and a flat slab. It was tested to failure using seven biaxial excitation
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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