Relevant bibliographies by topics / MSE

Contents

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

Academic literature on the topic 'MSE'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "MSE"

1

Borin, Airton, Anne Humeau-Heurtier, Luiz Virgílio Silva, and Luiz Murta. "Multiscale Entropy Analysis of Short Signals: The Robustness of Fuzzy Entropy-Based Variants Compared to Full-Length Long Signals." Entropy 23, no. 12 (December 1, 2021): 1620. http://dx.doi.org/10.3390/e23121620.

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Multiscale entropy (MSE) analysis is a fundamental approach to access the complexity of a time series by estimating its information creation over a range of temporal scales. However, MSE may not be accurate or valid for short time series. This is why previous studies applied different kinds of algorithm derivations to short-term time series. However, no study has systematically analyzed and compared their reliabilities. This study compares the MSE algorithm variations adapted to short time series on both human and rat heart rate variability (HRV) time series using long-term MSE as reference. The most used variations of MSE are studied: composite MSE (CMSE), refined composite MSE (RCMSE), modified MSE (MMSE), and their fuzzy versions. We also analyze the errors in MSE estimations for a range of incorporated fuzzy exponents. The results show that fuzzy MSE versions—as a function of time series length—present minimal errors compared to the non-fuzzy algorithms. The traditional multiscale entropy algorithm with fuzzy counting (MFE) has similar accuracy to alternative algorithms with better computing performance. For the best accuracy, the findings suggest different fuzzy exponents according to the time series length.
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Adam Haggagy, Mahmoud El-Nouby, Abdel Galeil Abdel Elal Hassan, Badry Noby Mohamed Abd Allah, and Ezzat Ramadan Mahmoud. "Calculation of the Global Solar Radiation in a Subtropical Region (Qena, Egypt)." International Journal of Research Publication and Reviews 04, no. 01 (2022): 1880–84. http://dx.doi.org/10.55248/gengpi.2023.4153.

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Air temperature (T, °C), relative humidity (RH, %), and global solar radiation (G, MJ.m-2 ) have been measured in the meteorological station at South Valley University (SVU) at Qena, Egypt, from 2000 to 2013, while the total column ozone (TCO, DU) is downloaded from Giovanni's website. T, RH, and TCO are important meteorological parameters, and they are useful to estimate the missing data of the global solar radiation (G), as global solar radiation is desirable for electricity generation applications and for agriculture. Qena is a subtropical region in Upper Egypt, as it's characterized by clear weather most days of the year, and it's very hot in the summer and cold in the winter. The meteorological station at South Valley University (SVU) stopped measuring the G. The linear regression equation and the most important statistical indices are used in this paper such as, the determination coefficient (R2 ), the mean absolute error (MAE), the mean absolute bias error (MABE), the mean square error (MSE), the root mean square error (RMSE), the mean percentage error (MPE), the mean bias error (MBE), the model efficiency (ME), and the agreement index (d). For verification of the empirical models' efficiency, the data of a new period has used, 2013, and the results of the models were excellent and valid for estimating the missing data, as R2 was more than 0.92 in all models but it was near one in models 1 and 4. MAE was close to zero for all models. MBE, MPE, and MABE were close to zero for all models except model 3. Model 1 was the best one, as, R2 , MAE, MABE, MSE, RMSE, MAPE, d, ME, and MPE were 0.9883, 0.0193, 0.383, 0.2303, 0.4799, 1.927, 0.9979, 0.992, and 0.2932, respectively
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Xia, Xinran, Disong Fu, Ye Fei, Wei Shao, and Xiangao Xia. "An Improved Assessment Method and Its Application to the Latest IMERG Rainfall Product in Mainland China." Remote Sensing 13, no. 24 (December 16, 2021): 5107. http://dx.doi.org/10.3390/rs13245107.

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Quantification of uncertainties associated with satellite precipitation products is a prior requirement for their better applications in earth science studies. An improved scheme is developed in this study to decompose mean bias error (MBE) and mean square error (MSE) into three components, i.e., MBE and MSE associated hits, missed precipitation, and false alarms, respectively, which are weighted by their relative frequencies of occurrence (RFO). The trend of total MBE or MSE is then naturally decomposed into six components according to the chain rule for derivatives. Quantitative estimation of individual contributions to total MBE and MSE is finally derived. The method is applied to validation of Integrated MultisatellitE Retrievals for GPM (IMERG) in Mainland China. MBE associated with false alarms is an important driver for total MBE, while MSE associated with hits accounts for more than 85% of MSE, except in inland semi-arid area. The RFO of false alarms increases, whereas the RFO of missed precipitation decreases. Both factors lead in part to a growing trend for total MBE. Detection of precipitation should be improved in the IMERG algorithm. More specifically, the priority should be to reduce false alarms.
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Pratelli, Giovanni, Daniela Carlisi, Antonella D’Anneo, Antonella Maggio, Sonia Emanuele, Antonio Palumbo Piccionello, Michela Giuliano, Anna De Blasio, Giuseppe Calvaruso, and Marianna Lauricella. "Bio-Waste Products of Mangifera indica L. Reduce Adipogenesis and Exert Antioxidant Effects on 3T3-L1 Cells." Antioxidants 11, no. 2 (February 11, 2022): 363. http://dx.doi.org/10.3390/antiox11020363.

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Several studies highlighted the beneficial value of natural compounds in the prevention and treatment of obesity. Here, we investigated the anti-obesity effects of extracts of peel and seed of mango (Mangifera indica L.) cultivated in Sicily (Italy) in 3T3-L1 cells. Mango Peel (MPE) and Mango Seed (MSE) extracts at a 100 µg/mL concentration significantly reduced lipid accumulation and triacylglycerol contents during 3T3-L1 adipocyte differentiation without toxicity. HPLC-ESI-MS analysis showed that both the extracts contain some polyphenolic compounds that can account for the observed biological effects. The anti-adipogenic effect of MPE and MSE was the result of down-regulation of the key adipogenic transcription factor PPARγ and its downstream targets FABP4/aP2, GLUT4 and Adipsin, as well SREBP-1c, a transcription factor which promotes lipogenesis. In addition, both MPE and MSE significantly activated AMPK with the consequent inhibition of Acetyl-CoA-carboxylase (ACC) and up-regulated PPARα. The addition of compound C, a specific AMPK inhibitor, reduced the effects of MPE and MSE on AMPK and ACC phosphorylation, suggesting a role of AMPK in mediating MPE and MSE anti-lipogenic effects. Notably, MPE and MSE possess an elevated radical scavenging activity, as demonstrated by DPPH radical scavenging assay, and reduced ROS content produced during adipocyte differentiation. This last effect could be a consequence of the increase in the antioxidant factors Nrf2, MnSOD and HO-1. In conclusion, MPE and MSE possesses both anti-adipogenic and antioxidant potential, thus suggesting that the bio-waste products of mango are promising anti-obesity natural compounds.
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Sofian, Ian Mochamad, Azhar Kholiq Affandi, Iskhaq Iskandar, and Yosi Apriani. "Monthly rainfall prediction based on artificial neural networks with backpropagation and radial basis function." International Journal of Advances in Intelligent Informatics 4, no. 2 (July 31, 2018): 154. http://dx.doi.org/10.26555/ijain.v4i2.208.

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Two models of Artificial Neural Network (ANN) algorithm have been developed for monthly rainfall prediction, namely the Backpropagation Neural Network (BPNN) and Radial Basis Function Neural Network (RBFNN). A total data of 238 months (1994-2013) was used as the input data, in which 190 data were used as training data and 48 data used as testing data. Rainfall data has been tested using architecture BPNN with various learning rates. In addition, the rainfall data has been tested using the RBFNN architecture with maximum number of neurons K = 200, and various error goals. Statistical analysis has been conducted to calculate R, MSE, MBE, and MAE to verify the result. The study showed that RBFNN architecture with error goal of 0.001 gives the best result with a value of MSE = 0.00072 and R = 0.98 for the learning process, and MSE = 0.00092 and R = 0.86 for the testing process. Thus, the RBFNN can be set as the best model for monthly rainfall prediction.
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Liu, Qingyun, Haiyang Pan, Jinde Zheng, Jinyu Tong, and Jiahan Bao. "Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing." Entropy 21, no. 3 (March 18, 2019): 292. http://dx.doi.org/10.3390/e21030292.

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Multiscale fuzzy entropy (MFE), as an enhanced multiscale sample entropy (MSE) method, is an effective nonlinear method for measuring the complexity of time series. In this paper, an improved MFE algorithm termed composite interpolation-based multiscale fuzzy entropy (CIMFE) is proposed by using cubic spline interpolation of the time series over different scales to overcome the drawbacks of the coarse-grained MFE process. The proposed CIMFE method is compared with MSE and MFE by analyzing simulation signals and the result indicates that CIMFE is more robust than MSE and MFE in analyzing short time series. Taking this into account, a new fault diagnosis method for rolling bearing is presented by combining CIMFE for feature extraction with Laplacian support vector machine for fault feature classification. Finally, the proposed fault diagnosis method is applied to the experiment data of rolling bearing by comparing with the MSE, MFE and other existing methods, and the recognition rate of the proposed method is 98.71%, 98.71%, 98.71%, 98.71% and 100% under different training samples (5, 10, 15, 20 and 25), which is higher than that of the existing methods.
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Christian, Yuriko, and I. Dewa Made Bayu Atmaja Darmawan. "Specialty Coffee Cupping Score Prediction with General Regression Neural Network (GRNN)." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 9, no. 2 (November 22, 2020): 185. http://dx.doi.org/10.24843/jlk.2020.v09.i02.p04.

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Coffee is a plant that can be processed into beverages. The cupping score is a score for a coffee quality graded with an expert called Q grader. The cupping score will decide if a coffee may be called as specialty coffee. In this research, the cupping score will be predicted by the coffee properties and did not involve the Q grader for giving the score. The prediction of the score is obtained by using the GRNN method. The experiment consists of finding when the MAE and the MSE are converged and find the neuron's best number. The model's performance is measured with MSE and MAE with the best MSE value of 0.097 and MAE value 0.245.
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Nwakuya, M. T., and C. C. Nkwocha. "Manly transformation in quantile regression: A comparison of two transformation parameter estimators." Scientia Africana 21, no. 1 (June 1, 2022): 67–76. http://dx.doi.org/10.4314/sa.v21i1.6.

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This study implements the Manly transformations for normalization of variables in quantile regression analysis.The transformation parameter was estimated using two different methods namely; the maximum likelihood estimation (MLE) method and the two-step estimation method by Chamberlain and Buchinsky(CBTS).The transformation parameters obtained using the two different methods were used for the Manly transformation of data with outliers and data without outliers. The methods were applied to a quantile regression analysis at different quantiles (0.25, 0.50, 0.75, 0.95). Based on our findings, for data without outliers, the 25th quantile model was seen to be the best fit model compared to the other quantiles for the CBTS method with AIC=-43.46279, BIC=20.75212 and MSE=0.70956, while for the MLE the 50th quantile model was seen to be the best fit model with AIC=-348.3657, BIC=20.13548, and MSE=0.00864. Considering data with outliers the 25th quantile model was still seen to be the best fit model compared to the other quantiles for the CBTS method with AIC=-48.5671, BIC=21.8321 and MSE=0.92341, while for the MLE the 50th quantile model was still seen to be the best fit model with AIC=988.6763, BIC=710.09, and MSE=690.7965. Comparison of both methods for data without outliers the study concludes that the estimation of the transformation parameter using the MLE produced better results with lower AIC, BIC and MSE at all quantiles and for data with outliers the study concludes that the estimation of the transformation parameter using CBTS produced better results with lower AIC, BIC and MSE results as is shown in table (3.5) and table (3.6) respectively.
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Al-Obedy, Nadia. "Semi- Minimax Estimations on the Exponential Distribution Under Symmetric and Asymmetric Loss Functions." Journal of Al-Rafidain University College For Sciences ( Print ISSN: 1681-6870 ,Online ISSN: 2790-2293 ), no. 2 (October 13, 2021): 245–70. http://dx.doi.org/10.55562/jrucs.v36i2.257.

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In this paper the semi-minimax estimators of the scale parameter of the exponential distribution are presented by applying the theorem of Lehmann under symmetric (quadratic) loss function and asymmetric (entropy, mlinex , precautionary) loss functions .The results of comparison between these estimators are compared empirically using Monte-Carlo simulation study with respect to the mean square error(MSE) and the mean percentage error(MPE). In general, the results showed that the semi-minimax estimator under quadratic loss function is the best estimator by MSE and MPE for all sample sizes. We can notice that, when the values of the parameters β ,θ increasing the semi-minimax estimator under quadratic loss function is the best estimator by MSE while comparison by MPE showed that the semi-minimax estimator under mlinex loss function when the value of c positive is the best, but they both get worse as α ,θ increases. Also the results showed that when α, β together increase the semi-minimax estimator under entropy loss function is the best by MSE while by MPE the semi-minimax estimator under precautionary loss function is the best estimator.
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Robeson, Scott M., and Cort J. Willmott. "Decomposition of the mean absolute error (MAE) into systematic and unsystematic components." PLOS ONE 18, no. 2 (February 17, 2023): e0279774. http://dx.doi.org/10.1371/journal.pone.0279774.

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When evaluating the performance of quantitative models, dimensioned errors often are characterized by sums-of-squares measures such as the mean squared error (MSE) or its square root, the root mean squared error (RMSE). In terms of quantifying average error, however, absolute-value-based measures such as the mean absolute error (MAE) are more interpretable than MSE or RMSE. Part of that historical preference for sums-of-squares measures is that they are mathematically amenable to decomposition and one can then form ratios, such as those based on separating MSE into its systematic and unsystematic components. Here, we develop and illustrate a decomposition of MAE into three useful submeasures: (1) bias error, (2) proportionality error, and (3) unsystematic error. This three-part decomposition of MAE is preferable to comparable decompositions of MSE because it provides more straightforward information on the nature of the model-error distribution. We illustrate the properties of our new three-part decomposition using a long-term reconstruction of streamflow for the Upper Colorado River.
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Dissertations / Theses on the topic "MSE"

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Aktas, Metin. "Lse And Mse Optimum Deconvolution." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605111/index.pdf.

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In this thesis, we considered the deconvolution problem when the channel is known a priori. LSE and MSE optimum solutions are investigated with deterministic and statistical approaches. We derived closed form LSE expressions and investigated the factors that affect the FIR inverse filters. It turns out that, minimum LSE can be obtained when the system zeros are distributed homogeneously on the z-plane. We proposed partition-based FIR-IIR inverse filters. The selection of FIR and IIR parts is based on partitioning the channel zeros into two regions and using the specified channel zeros to design the best delay FIR and all pole IIR inverse filters. Three methods for partitioning are presented, namely unit circle-based, ring-based and optimum-partitioning. It turns out that ring-based and optimum-partitioning FIR-IIR inverse filter performs better than the best delay FIR inverse filter for the same complexity by about 4-5 dB. For noisy observations, it is shown that, noise should also be considered in the delay selection and partitioning. We extended our results for the design of MSE optimum statistical inverse filters. It is shown that best delay FIR-IIR inverse filters are less sensitive to the estimation errors compared to the IIR Wiener filters and they perform better than the FIR Wiener filters. Furthermore, they are always causal and stable making them suitable for real-time implementations. When the statistical and deterministic filters are compared, it is shown that for low SNR statistical filters perform better by about 1-2 dB, while deterministic filters perform better by about 0.5-1 dB for high SNR
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Shi, Yipin. "Study on Bivariate Normal Distribution." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/745.

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Let (X, Y) be bivariate normal random vectors which represent the responses as a result of Treatment 1 and Treatment 2. The statistical inference about the bivariate normal distribution parameters involving missing data with both treatment samples is considered. Assuming the correlation coefficient ρ of the bivariate population is known, the MLE of population means and variance (ξ, η, and σ2) are obtained. Inferences about these parameters are presented. Procedures of constructing confidence interval for the difference of population means ξ – η and testing hypothesis about ξ – η are established. The performances of the new estimators and testing procedure are compared numerically with the method proposed in Looney and Jones (2003) on the basis of extensive Monte Carlo simulation. Simulation studies indicate that the testing power of the method proposed in this thesis study is higher.
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Luo, Shihua. "Bayesian Estimation of Small Proportions Using Binomial Group Test." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/744.

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Group testing has long been considered as a safe and sensible relative to one-at-a-time testing in applications where the prevalence rate p is small. In this thesis, we applied Bayes approach to estimate p using Beta-type prior distribution. First, we showed two Bayes estimators of p from prior on p derived from two different loss functions. Second, we presented two more Bayes estimators of p from prior on π according to two loss functions. We also displayed credible and HPD interval for p. In addition, we did intensive numerical studies. All results showed that the Bayes estimator was preferred over the usual maximum likelihood estimator (MLE) for small p. We also presented the optimal β for different p, m, and k.
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Bingham, Nathanael G. "Passive Resistance of Abutments with MSE Wingwalls." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3201.

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Large scale static lateral load tests were performed on a pile cap under varying sand backfill configurations: no backfill, full-width dense sand backfill, dense sand slip plane confined backfill, and two configurations of dense sand MSE wall confined backfills. Efforts were made to maintain the relative compaction of the backfills for each of the tests near the same value. The MSE wall panel arrangement was varied to determine the effect of different reinforcement configurations on the passive resistance and wall panel displacement. Passive force-displacement curves were generated from each test. It was found that the MSE design manual provided reasonable estimates of pullout resistance of bar mats in dense sand, and that the passive resistance of a soil backfill confined by MSE walls can be calculated with an increased friction angle using a log-spiral approach. Also, the amount the triaxial friction angle can be increased depends on how much the MSE wall panels displace outward. Correlations were developed between the pressure on the pile cap and that on the MSE wall panels near the pile cap. Generally, the pressure on the wall panels was less than 10% of that which was on the adjacent pile cap, and decreased as the distance from the pile cap increased. Finally, it was found that while limiting the backfill width decreases the ultimate passive resistance of the backfill, if the backfill is confined in a plane strain configuration the passive resistance per unit width is higher than that for an unconfined backfill.
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Winkelmann, Thomas. "Bewegungs- und Mischverhalten hochviskoser Flüssigkeiten im Mehrschneckenextruder MSE /." Aachen : Shaker, 2001. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009548736&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Gusbar, Vincent F. "Prefabricated geosynthetic drains characterization and implementation in MSE structures /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 1.44 Mb., p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1435833.

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Schrader, Christian. "Untersuchungen von Hochfrequenzentladungen an mikrostrukturierten Elektrodensystemen (MSE) zur Oberflächenmodifikation." [S.l.] : [s.n.], 2006. http://www.digibib.tu-bs.de/?docid=00014525.

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Ko, Jin-Seok. "Current profile measurements using MSE on Alcator C-Mod." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53273.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2009.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 319-325).
A Motional Stark Effect (MSE) diagnostic system has been installed on the Alcator C-Mod tokamak to measure the plasma internal magnetic pitch angle profile. The diagnostic utilizes polarization patterns from Doppler-shifted Balmer-alpha decay emission from an energetic neutral beam injected into a magnetically confined plasma. This dissertation consists of three parts: (1) the current status of the C-Mod MSE diagnostic which includes major upgrades in the hardware and calibration techniques; (2) the elimination of the spurious drift in the polarization measurements due to thermal-stress induced birefringence; and (3) the measurement of current density profiles in Lower Hybrid Current Drive (LHCD) experiments. The major hardware upgrades include replacement of photomultiplier tubes (PMT's) with avalanche photodiodes (APD's) which enhanced the quantum efficiency; installation of a wire-grid polarizer to verify small Faraday rotation in the diagnostic; installation of steep edge filters to minimize pollution by the thermal Balmer-alpha signals; rotation of the Diagnostic Neutral Beam (DNB) which significantly reduced the anomalous effect from the secondary beam neutrals during the beam-into-gas calibrations. The new calibration techniques include two plasma calibrations: plasma current sweeping and the plasma size sweeping whose feasibility was experimentally proven; and an absolute intensity calibration which measured the real optical throughput of the system. A large database study indicates the signal-to-background ratio larger than 100 is required to have the measurement uncertainty under 0.1 degrees.
(cont.) The spurious drift in the measurement has been identified as the thermals tress induced birefringence imposed on the in-vessel lenses. By modeling this effect as a single wave plate, an in-situ calibration method has been proposed and its feasibility was experimentally verified. Based on the experiments that characterized the thermal response of the system, a single-layer heat shield with gold plating and a lens holder which reduces the thermal conduction path to the lens have been designed and fabricated. A more rigorous model that includes an intrinsic phase shift by mirrors reveals the thermal phase shift can be greatly magnified by the intrinsic phase shift. The current density profiles from LHCD experiments have been obtained from the MSE data corrected by a baseline magnetic equilibrium whose internal profile is constrained by the sawtooth inversion radius. The resultant profiles successfully demonstrate several standard predictions of LHCD theory such as the dependence of efficiency on the parallel refractive index and the off-axis current drive.
by Jin-Seok Ko.
Ph.D.
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Thompson, Robert Ashton. "Assessing Levels of Corrosion on Extracted MSE Wall Reinforcement." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8408.

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The purpose of this study was to extract galvanized steel wire reinforcement coupons from mechanically stabilized earth (MSE) walls along I-15 and determine the rate of corrosion that has taken place since Phase I, which was conducted by Gerber and Billings (2010). The galvanized steel reinforcement analyzed in this study has been in place for 19 to 20 years at the time of extraction. A total of 85 coupons were extracted and laboratory analysis was performed to determine the thickness of remaining zinc galvanization on each coupon. Soil samples were obtained from each one-stage wall extraction location to determine moisture content for correlation with corrosion. After laboratory testing was performed, the measured zinc coating thickness was compared to that determined in Phase I. An average corrosion rate of approximately 0.032 oz/ft²/year has occurred since Phase I. According to the AASHTO (2017) design corrosion rate of 0.35 oz/ft²/year for the first two years and 0.09 oz/ft²/year until the depletion of the zinc, the zinc coating would have been completely depleted after 16 years. Based on the results of laboratory testing, the initial galvanization coating was likely greater than the specified thickness of 2.0 oz/ft² (86 μm). The zinc galvanization is corroding at a slower rate than the AASHTO design rate. The AASHTO design rate for depletion of zinc coating and subsequent corrosion of the steel reinforcement is conservative for the corrosion conditions present in the MSE wall reinforcement coupons tested. The integrity of the steel reinforcement that is currently in place is not likely to be compromised by corrosion.
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Price, Jacob S. "Lateral Resistance of Piles Near Vertical MSE Abutment Walls." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3744.

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Full scale lateral load tests were performed on five piles located at various distances behind MSE walls. Three of the five test piles were production piles used to support bridges, and the other two piles were located behind a MSE wing walls adjacent to the bridge abutment. The objective of the testing was to determine the effect of spacing from the wall on the lateral resistance of the piles and on the force resisted by the MSE reinforcement. Tentative curves have been developed showing p-multiplier vs. normalized spacing behind wall for a length to height ratio of 1.1 and 1.6. The data suggest that with a L/H ratio of 1.6, a p-multiplier of 1 can be used when the normalized distance from the back face of the MSE wall to the center of the pile is at least 3.8 pile diameters. When the L/H ratio decreases to 1.1 a p-multiplier of 1 can be used when the pile is at least 5.2 pile diameters behind the wall. A plot showing the induced load in the reinforcement as a function of distance from the pile has been developed. The data in the plot is normalized to the maximum lateral load and to the spacing from the wall to the pile. The best fit curve is capped at a normalized induced force of approximately 0.15. The data show that the induced force on the reinforcement when a lateral load is applied to the piles decreases exponentially as the normalized distance from the pile increases. The plot is limited to the conditions tested, i.e. for the reinforcement in the upper 6 ft. of the wall with L/H values ranging from 1.1 to 1.6.
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Books on the topic "MSE"

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Policy advocacy needs of MSE associations in Kenya: A survey of MSE associations in Nairobi, Mombasa, Kisumu, and Nakuru. Nairobi, Kenya: Kenya Institute for Public Policy Research and Analysis, 2006.

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Bligh, Roger P. Design of roadside barrier systems placed on MSE retaining walls. Washington, D.C: Transportation Research Board, 2010.

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Allen, Tony M. Prediction of soil reinforcement loads in mechanically stabilized earth (MSE) walls. [Olympia]: Washington State Dept. of Transportation, 2001.

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Tetsushi, Sonobe, ed. Cluster-based industrial developments: KAIZEN management for MSE growth in developing countries. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan, 2014.

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Tex.) IEEE International Conference on Microelectronic Systems Education (9th 2013 Austin. 2013 IEEE International Conference on Microelectronic Systems Education (MSE 2013): Austin, Texas, USA, 2-3 June 2013. Piscataway, NJ: IEEE, 2013.

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Calif.) IEEE International Conference on Microelectronic Systems Education (6th 2007 San Diego. MSE 2007: 2007 IEEE International Conference on Microelectronic Systems Education : proceedings : 3-4 June, 2007, San Diego, CA. Los Alamitos, Calif: IEEE Computer Society, 2007.

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Francisco, Calif ). IEEE International Conference on Microelectronic Systems Education (7th 2009 San. 2009 IEEE International Conference on Microelectronic Systems Education (MSE 2009): San Francisco, California, USA, 25-27 July 2009. Piscataway, NJ: IEEE, 2009.

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Calif.) IEEE International Conference on Microelectronic Systems Education (8th 2011 San Diego. 2011 IEEE International Conference on Microelectronic Systems Education (MSE 2011): San Diego, California, USA, 5-6 June 2011. Piscataway, NJ: IEEE, 2011.

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Amha, Wolday. The role of finance and business development service (BDS) in micro and small enterprise (MSE) development in Ethiopia. Addis Ababa, Ethiopia: Association of Ethiopian Microfinance Institutions, 2002.

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Toutenburg, Helge. MSE-comparisons between restricted least squares, mixed, and weighted mixed estimators with special emphasize [i.e. emphasis] to nested restrictions. Berlin: Akademie der Wissenschaften der DDR, Karl-Weierstrass-Institut für Mathematik, 1988.

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Book chapters on the topic "MSE"

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Fischer, R. X., and W. H. Baur. "MSE." In Zeolite-Type Crystal Structures and their Chemistry. 41 New Framework Type Codes, 339–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41452-7_34.

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Azis, Iwan J. "Mitigating Dualism and Exploiting the Interplay of Policy-Social Capital." In Periphery and Small Ones Matter, 57–77. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6831-9_4.

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AbstractThe centripetal forces of agglomeration, reflected among others in the structure of the economy and the nature of interrelations among regions (interregional multipliers), limit the effectiveness of spatial policies. Meanwhile, the importance of social capital is revealed from the MSE survey. Social planners could improve the design of policies by understanding the perceptions and aspirations of MSEs to make any measures more compatible with the prevailing social capital.
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Jansen, Maarten. "Estimating the minimum MSE threshold." In Noise Reduction by Wavelet Thresholding, 81–100. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0145-5_4.

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Yanoschak, Thomas M. "MSE Walls in Solid Waste Applications." In Proceedings of the 2007 National Conference on Environmental Science and Technology, 331–37. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-88483-7_45.

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Shen, L., and E. C. Tan. "Nonlinear Kernel MSE Methods for Cancer Classification." In Lecture Notes in Computer Science, 975–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539087_129.

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Alexander, S. Thomas. "The Mean Square Error (MSE) Performance Criteria." In Adaptive Signal Processing, 8–33. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4978-8_2.

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Bathurst, Richard J. "Developments in MSE Wall Research and Design." In Innovative Infrastructure Solutions using Geosynthetics, 22–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34242-5_3.

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Reis-de-Oliveira, Guilherme, Victor Corasolla Carregari, and Daniel Martins-de-Souza. "DIA-MSE to Study Microglial Function in." In Methods in Molecular Biology, 341–52. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1024-4_24.

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Dragojevic, Boris, and Dusanka Boskovic. "Evaluating MSE Applicability to Short HR Time-Series." In IFMBE Proceedings, 87–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17971-7_13.

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Tiwari, Binod, Beena Ajmera, and Diego Villegas. "Dynamic Response of Lightweight Cellular Concrete MSE Walls." In Proceedings of GeoShanghai 2018 International Conference: Advances in Soil Dynamics and Foundation Engineering, 168–75. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0131-5_19.

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Conference papers on the topic "MSE"

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Shi, Shuying, Martin Schubert, and Holger Boche. "Downlink MMSE Transceiver Optimization with Layer-MSE Requirements." In 2006 First International Conference on Communications and Networking in China. IEEE, 2006. http://dx.doi.org/10.1109/chinacom.2006.344646.

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Yan, Junchi, Xin Liu, Liangliang Shi, Changsheng Li, and Hongyuan Zha. "Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/409.

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Point process is an expressive tool in learning temporal event sequence which is ubiquitous in real-world applications. Traditional predictive models are based on maximum likelihood estimation (MLE). This paper aims to improve MLE by discriminative and adversarial learning. The initial model is learned by MLE explaining the joint distribution of the occurred event history. Then it is refined by devising a gradient based learning procedure with two complementary recipes: i) mean square error (MSE) that directly reflects the prediction accuracy of the model; ii) adversarial classification loss which induces the Wasserstein distance loss. The hope is that the adversarial loss can add sharpness to the smooth effect inherently caused by the MSE loss. The method is generic and compatible with different differentiable parametric forms of the intensity function. Empirical results via a variant of the Hawkes processes demonstrate its effectiveness of our method.
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Rocha, Marcella, Marquiony Santos, and Ricardo Valentim. "Automação usando deep learning para avaliação de risco de sífilis adquirida nos municípios brasileiros." In XIII Congresso da Sociedade Brasileira de DST - IX Congresso Brasileiro de AIDS - IV Congresso Latino Americano de IST/HIV/AIDS. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/dst-2177-8264-202133p141.

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Introdução: A sífilis adquirida é uma infecção sexualmente transmissível que continua impactando os serviços de saúde de todo o mundo. No Brasil, o crescimento epidêmico da sífilis pode ser medido pelo Annual Average Percent Change. Existem diversos modelos matemáticos que tentam predizer o Annual Average Percent Change a partir de indicadores, porém é pouco conhecido se um modelo de aprendizagem profunda seria mais efetivo para a determinação dessa fórmula. Objetivo: Prever, por meio de um modelo de aprendizagem profunda, o Annual Average Percent Change da sífilis adquirida associado às variáveis sociodemográficas e epidemiológicas. Métodos: Foi utilizada uma base de dados com 5.571 municípios brasileiros e 34 variáveis. Em seguida aplicou-se o pré-processamento desses dados, reduzindo a base de dados a 4.790 municípios e 31 variáveis de entrada. Primeiramente foi utilizado um algoritmo de aprendizado profundo sequencial com cinco camadas para treinamento e depois outro utilizando KerasRegressor, ambos comparados a mais dois algoritmos, Regressão Linear e XGB Regressor. Resultados: Os métodos de aprendizado profundo foram comparados a dois outros métodos, Regressão Linear (MAE:0.761, MSE:0.891, RMSE:0.943 e R²:0.108) e XGB Regressor (MAE:0.700, MSE:0.749, RMSE:0.865 e R²:0.250). Entre os métodos, o KerasRegressor obteve o melhor desempenho (MAE:0.287, MSE:0.132, RMSE:0.363 e R²:0.867) e indica um melhor ajuste na previsão do Annual Average Percent Change. Conclusão: Os resultados demonstraram que o modelo de aprendizagem profunda utilizando KerasRegressor obteve os parâmetros mais ajudados para predizer o Annual Average Percent Change da sífilis adquirida a partir de 31 variáveis de entrada. Nesse aspecto, utilizar um modelo de deep learning pode subsidiar as melhores tomadas de decisões para redução da sífilis adquirida.
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Dalton, Lori, and Edward R. Dougherty. "Exact MSE performance of the Bayesian MMSE estimator for classification error." In 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190161.

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Yang, Shaopeng, Weiyu Guo, and Yuheng Ren. "CrowdFormer: An Overlap Patching Vision Transformer for Top-Down Crowd Counting." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/215.

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Crowd counting methods typically predict a density map as an intermediate representation of counting, and achieve good performance. However, due to the perspective phenomenon, there is a scale variation in real scenes, which causes the density map-based methods suffer from a severe scene generalization problem because only a limited number of scales are fitted in density map prediction and generation. To address this issue, we propose a novel vision transformer network, i.e., CrowdFormer, and a density kernels fusion framework for more accurate density map estimation and generation, respectively. Thereafter, we incorporate these two innovations into an adaptive learning system, which can take both the annotation dot map and original image as input, and jointly learns the density map estimator and generator within an end-to-end framework. The experimental results demonstrate that the proposed model achieves the state-of-the-art in the terms of MAE and MSE (e.g., it achieved a MAE of 67.1 and MSE of 301.6 on NWPU-Crowd dataset.), and confirm the effectiveness of the proposed two designs. The code is https://github.com/special-yang/Top_Down-CrowdCounting.
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Dupriest, Fred, Paul Pastusek, Stephen Lai, Bob Best, Michael Behounek, Bryan Cook, Wendell Basarath, et al. "Standardization of Mechanical Specific Energy Equations and Nomenclature." In IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208777-ms.

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Abstract This paper recommends standardized names and equations for the two most common uses of Mechanical Specific Energy (MSE) concepts: "Total MSE" and "Downhole MSE". These names and their equations should be used uniformly in all applications, including electronic drilling recorder (EDR) pick lists, rig site surveillance, engineering surveillance, data analytics, research, and technical publications. Mechanical Specific Energy, used as a metric for drilling efficiency, is a mathematical calculation of the energy used per volume of rock drilled. The Downhole MSE equation calculates the efficiency of the bit alone, while the Total MSE equation includes both the bit and drill string. Those who use MSE in surveillance or analytics know the negative effects created by the lack of standardization over the years; it is certainly not a new problem. The lack of standardized nomenclature has resulted in the use of the same name for different equations, or different names are given two equations that are identical. This affects the ability of drill teams to engage vendors in redesign of performance limitations or to communicate new operational practices between teams or rigs. In addition, this standard corrects a mathematical error that is common in calculating the Total MSE. The concen with the inconsistencies has increased as MSE has become a key element in many automated optimization schemes. Inconsistencies or uncertainties in the basis of MSE values calculated in real time or shared in large data sets will affect the industry's ablity to develop useful analytics or to automate rig control platforms and data-driven decisions. This paper also includes a discussion of the MSE measurement errors and their effect on calculated values, which is of particular interest to controls engineers and those involved in data analytics. Examples are provided to illustrate how the two different MSE values are used in field operations. Also, a substantial reference list of current and potential future uses of MSE is included to encourage better MSE-based practices to potentially lead to the development of new uses in the future, including automation. This ad hoc MSE Standardization Committee is a volunteer group with representation from operators, rig contractors, service companies, and data acquisition vendors. The guidance given reflects there shared experienec in utilizing MSE in surveillance and analytics, and the recommended equations are technically correct.
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Michaeli, Tomer, and Yonina C. Eldar. "Constrained nonlinear minimum mse estimation." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4518451.

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Leshchinsky, D. "MSE Drainage Issues and Design." In Geo-Frontiers Congress 2005. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40782(161)18.

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Singh, Poonam, Saswat Chakrabarti, and R. V. Raja Kumar. "Multiple Access Using MSE-OFDM." In 2008 5th IEEE Consumer Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/ccnc08.2007.96.

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Kilb, Justin, Brandon Brame, and Kaleb Anderson. "Finally, a Low Cost and Autonomous Method of Generating Corrected Mechanical Specific Energy for Improved Decision Making, Drilling Performance, and Rock Property Characterization." In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210195-ms.

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Abstract Despite decades of research focused on Mechanical Specific Energy (MSE), drilling operations still fail to operationalize MSE as the primary drilling-based performance indicator. This is partly because the availability of MSE in Electronic Drilling Recorders is usually calculated with surface measurement, which fails to isolate energy spent solely at the bit. Removing energy spent along the drill string is important because it allows operators to establish an expectation of the total energy necessary to overcome the confined compressive strength (CCS) of the rock. Once this baseline is established, an increase in MSE versus the CCS can be recognized as wasted energy and therefore, inefficient drilling. Methods to correct MSE exist but are time-consuming when done manually and may require specialized software. As a result, scaling corrected MSE can be challenging. To address these issues, this paper presents an accessible MSE at Scale workflow that provides a fully automated, physics-based drilling efficiency and design platform for full-fleet implementation. The methods included explore a wide breadth of optimization techniques that can be utilized by operational personnel and autonomous drilling rigs, thus also supporting the future of physics-based intelligent drilling systems. After discussing the data pipelines and methods of calculation, drilling results from over half a million lateral feet are presented. This analysis is separated into two workflows: Big Data MSE for design optimization and rock characterization, and real-time MSE streaming for operational guidance. A new MSE versus rate of penetration process is introduced, which will allow operators to determine a bit’s maximum formation specific performance (MFP), in one run, regardless of operating conditions. Additionally, generating high-resolution corrected MSE, per foot, provides an alternative and in-situ solution for CCS that does not require petrophysical software or log data. Lastly, a new Cumulative MSE process is introduced to offer a change of perspective in the way we understand and measure bottom hole assembly (BHA) durability. The latter half of this paper discusses derivations of the MSE equation to offer power-based metrics that are more intuitive than MSE and therefore, may be easier to adopt in field-operations. This is because BHA power, which is a function of rotational energy, presents a consistent and predictable diminishing of ROP returns. This relationship appears to behave similarly to the founder point, yet it is predictably adaptive to drilling parameters beyond solely weight on bit. Finally, this paper discusses a machine learning technique to detect real-time drilling performance that can potentially indicate failing or weakening BHA equipment.
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Reports on the topic "MSE"

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Allen, S., S. Lerner, K. Morris, J. Jayakumar, C. Holcomb, M. Makowski, J. Latkowski, and R. Chipman. Evaluation of ITER MSE Viewing Optics. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/908133.

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Ko, Jinseok, Steve Scott, Syun'ichi Shiraiwa, Martin Greenwald, Ronald Parker, and Gregory Wallace. Intra-shot MSE Calibration Technique For LHCD Experiments. Office of Scientific and Technical Information (OSTI), November 2009. http://dx.doi.org/10.2172/969308.

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Sakleshpur, Venkata Abhishek, Monica Prezzi, and Rodrigo Salgado. Performance Assessment of MSE Abutment Walls in Indiana. Purdue University, October 2017. http://dx.doi.org/10.5703/1288284316390.

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Bobet, Antonio. Design of MSE Walls for Fully Saturated Conditions. West Lafayette, IN: Purdue University, 2002. http://dx.doi.org/10.5703/1288284313174.

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Micheletti, David A. Advanced Aerospace Technology Development at MSE Technology Applications, Inc. Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada410823.

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Brainard, Gregory F., Andrew A. Thompson, and James P. Lucas. Air Conditioner Requirements Validation Review of Mobile Subscriber Equipment (MSE). Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada251469.

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Eggert, John M. Patriot Advanced Capability-3 Missile Segment Enhancement (PAC-3 MSE). Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ad1019515.

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Resnick, Bernard. Lessons Learned Working with the Army's Mobile Subscriber Equipment (MSE) Program. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada284295.

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Cheng, Unjeng, and Gaylord K. Huth. Simulation and Emulation of Dynamic Jamming of the Mobile Subscriber Equipment (MSE). Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada214882.

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Hoover, Carol L. Human-Computer Interaction (HCI) Specialization Track Masters of Software Engineering (MSE) Program. Revision. Fort Belvoir, VA: Defense Technical Information Center, March 1995. http://dx.doi.org/10.21236/ada292895.

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