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1

HAAPASALO, H., Y. COLLAN, A. SEPPÄ, A.-L. GIDLUND, N. B. ATKIN, and E. PESONEN. "Prognostic value of ovarian carcinoma grading methods?a method comparison study." Histopathology 16, no. 1 (January 1990): 1–7. http://dx.doi.org/10.1111/j.1365-2559.1990.tb01053.x.

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Yang, Fangfang, and Youhua Fu. "Uncertain Comprehensive Evaluation Method Based on Expected Value." Journal of Systems Science and Information 2, no. 5 (October 25, 2014): 461–72. http://dx.doi.org/10.1515/jssi-2014-0461.

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AbstractThe author presents a new comprehensive evaluation method based on uncertainty theory in this paper. According to this kind of method, the evaluation quality of each evaluated index given by every expert is regarded as an uncertain variable. Then a comparison rule of uncertain comprehensive evaluation is proposed by means of expected value of uncertain variable. Some properties about the comparison rule are discussed. At last, an example about the comparison of urban environment quality is given to illustrate the uncertain comprehensive evaluation method.
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Muravyov, Sergey V., Irina A. Marinushkina, and Diana D. Garif. "Numerical experimental investigation of comparison data evaluation method using preference aggregation." ACTA IMEKO 6, no. 1 (April 25, 2017): 20. http://dx.doi.org/10.21014/acta_imeko.v6i1.408.

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<p class="Abstract">An integrated software for experimental testing preference aggregation method for interlaboratory comparison data processing is presented. The data can be obtained by a Monte-Carlo simulation and/or taken from real comparisons. Numerical experimental investigations with the software have shown that, as against traditional techniques of interlaboratory comparison data processing, the preference aggregation method provides a robust comparison reference value to be closer to a nominal value.</p>
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Noor, Muhammad Aslam, Javed Iqbal, and Eisa Al-Said. "Residual Iterative Method for Solving Absolute Value Equations." Abstract and Applied Analysis 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/406232.

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We suggest and analyze a residual iterative method for solving absolute value equationsAx-x=bwhereA∈Rn×n,b∈Rnare given andx∈Rnis unknown, using the projection technique. We also discuss the convergence of the proposed method. Several examples are given to illustrate the implementation and efficiency of the method. Comparison with other methods is also given. Results proved in this paper may stimulate further research in this fascinating field.
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Nakata, Kotaro, Takuma Hasegawa, Teruki Iwatsuki, and Toshihiro Kato. "Comparison of 14C Collected by Precipitation and Gas-Strip Methods for Dating Groundwater." Radiocarbon 58, no. 3 (March 30, 2016): 491–503. http://dx.doi.org/10.1017/rdc.2016.22.

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AbstractDissolved inorganic carbon (DIC) in groundwater is used to estimate the residence time based on radiocarbon concentration. DIC is usually extracted by a gas-strip or precipitation (SrCO3 or BaCO3) method. In this study, the gas-strip and precipitation methods of DIC were applied to both artificially prepared NaHCO3 solutions and natural groundwater to estimate the certainty of the two methods for 14C dating. 14C values obtained by the gas-strip method for NaHCO3 solutions with distinct salinity, DIC, and 14C concentrations were close to the theoretically predicted 14C value based on the 14C value of NaHCO3 powder. Conversely, the 14C value obtained by the precipitation method always showed higher values than the predicted values. The difference in 14C value between the gas-strip and precipitation methods was assumed to be caused by the contamination of modern carbon in the NaOH solution used in the precipitation method. The contamination of modern carbon derived from the NaOH solution during precipitation was found to range from less than 1 mg/L to about 1 mg/L. The applicability of the precipitation method for groundwater should be considered carefully according to the DIC, 14C concentration of groundwater, and purpose of the study being conducted.
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Tuomasjukka, Diana, Dimitris Athanassiadis, and Martijn Vis. "Threefold sustainability impact assessment method comparison for renewable energy value chains." International Journal of Forest Engineering 28, no. 2 (May 4, 2017): 116–22. http://dx.doi.org/10.1080/14942119.2017.1318549.

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Li, Cui-Xia. "A Preconditioned AOR Iterative Method for the Absolute Value Equations." International Journal of Computational Methods 14, no. 02 (February 22, 2017): 1750016. http://dx.doi.org/10.1142/s0219876217500165.

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In this paper, coupled with preconditioning technique, a preconditioned accelerated over relaxation (PAOR) iterative method for solving the absolute value equations (AVEs) is presented. Some comparison theorems are given when the matrix of the linear term is an irreducible [Formula: see text]-matrix. Comparison results show that the convergence rate of the PAOR iterative method is better than that of the accelerated over relaxation (AOR) iterative method whenever both are convergent. Numerical experiments are provided in order to confirm the theoretical results studied in this paper.
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Sinaga, Anita Sindar R. M. "The Comparison of Signature Verification Result Using 2DPCA Method and SSE Method." International Journal of Artificial Intelligence Research 2, no. 1 (February 9, 2018): 14. http://dx.doi.org/10.29099/ijair.v2i1.38.

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The rate of speed and validation verify to be a reference of quality information and reliable results. Everyone has signature characteristics but it will be difficult to match original signatures with a clone. Two Dimensional Principal Component Analysis (2DPCA) method, Sum Equal Error (SSE) method includes a method that can provide accurate data verification value of 90% - 98%. Results of scanned signatures, converted from RGB image - grayscale - black white (binary color). The extraction process of each method requires experimental data as a data source in pixel size. Digital image consists of a collection of pixels then each image is converted in a matrix. Preprocessing Method 2 DPCA each data is divided into data planning and data testing. Extraction on SSE method, each data sought histogram value and total black value. This study yields a comparison of the suitability of the extraction results of each method. Both of these methods have a data accuracy rate of 97% - 98%. When compared to the results of the accuracy of image verification with 2DPCA method: SSE is 97%: 96%. With the same data source will be tested result of 2DPCA method with SSE method.
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Agus Ristono, Tri Wahyuningsih, and Eko Junianto. "Proposed Method for Supplier Selection." Technium Social Sciences Journal 13 (November 3, 2020): 376–94. http://dx.doi.org/10.47577/tssj.v13i1.1955.

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The use of the Analytical Hierarchy Process (AHP) is frequent in supplier selection. First, AHP is a pairwise comparison between criteria. If the pairwise comparisons are inconsistent, the result is invalid. Thus, the process of comparing criteria must be repeated continuously until valid results are obtained. This process takes time and costs so it is considered inefficient. This research proposes the application of the Hamilton chain process into the pairwise comparison matrix. One criterion is symbolized as a knot, while the arc is symbolized as the pairwise comparison value between the two nodes or the connected criterion. In the network model of the AHP method, each node is connected to all other nodes without exception. Whereas in the proposed method, each criterion or node is compared only once. That said, avoiding inconsistencies can be made. The consistency ratio result of the proposed method is found to be consistent
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Nugroho, Wibowo Harso, Abdul Kadir, Nanang JH Purnomo, M. Syaiful, and Ahmad Yasim. "Comparison of Predicted Obstacle Prediction for ALPO Type Catamaran Transport Vehicle." R.E.M. (Rekayasa Energi Manufaktur) Jurnal 4, no. 2 (December 30, 2019): 149–57. http://dx.doi.org/10.21070/r.e.m.v4i2.810.

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With the increase of the Decommisioning Offshore Platform in Indonesia water, a decommisioning vehicle is needed to dismantle and transport the offshore platform. Because of the operation of this vehicle to disassemble offshore platform in various offshore platform locations in Indonesian water, it is necessary to consider the vehicle main engine power by predicting the ship resistance when traveling to the offshore platform location. This paper discusses the results of several numerical prediction methods of resistance that applied on the catamaran ship type. The prediction method used for resistance calculation which based on satistical data and analytical methods from the cylindrical body theory. The resistance prediction on the decommisioning vehicles using maxsurf resistance with various methods at 12 knots service speed shows that Holtrop method produces a resistance value of 250.7 kN, the Van Oortmerssen method produces a resistance value of 955 kN, the Series60 method produces a resistance value of 210.5 kN, the Compton method produces a resistance value of 295.8 kN, the Fung method produces a resistance value of 540.6 kN, method Slender body produces a resistance value of 7036.4 kN, the Wyman method produces a resistance value of 603.2 kN and finally the last method of KR Barge produces a resistance value of 1258.5 kN. This study show that the differences of the result are significant from each of the prediction methods so that testing of the hydrodynamic model is highly recommended.
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Jansen van Vuuren, David. "Modified sales comparison method: valuing under (un)certainty." Journal of Property Investment & Finance 35, no. 1 (February 6, 2017): 101–10. http://dx.doi.org/10.1108/jpif-09-2016-0074.

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Purpose The purpose of this paper is twofold: first, to suggest a modified sales comparison model that is scalable and adaptable to value under conditions of certainty and uncertainty. The model can potentially be applied to residential property, non-residential property and large item plant and machinery in determining the value, rental or capitalisation rate. The second purpose is to address practitioner and end user bias, which if unaddressed can lead to potentially inconsistent valuation results. Design/methodology/approach Literature was reviewed on decision theory, specifically cognitive limitations, heuristics and biases. A qualitative approach is followed in the paper although the output of the proposed model itself is quantitative. Findings The paper argues that practitioners and end users alike tend to avoid advanced statistical techniques when valuing under conditions of certainty, while advanced statistical techniques would not be possible under conditions of uncertainty. In addition, practitioners can, due to the representative heuristic, be over-confident in their ability, skill or knowledge when performing valuations under conditions of certainty. When valuing under conditions of uncertainty, practitioners tend to avoid simple rule models as they consider the process too unique to be standardised. The combined effect is inconsistent valuation results unless it can potentially be addressed through an integrated and modified sales comparison model that takes into account varying degrees of certainty and uncertainty. Practical implications The proposed modified sales comparison model is an integrated model that can be adopted by practitioners in valuing residential, non-residential and large plant and machinery. It can potentially be used to value under conditions of certainty and uncertainty and improve valuation consistency. End users such as mortgage lenders and investors can benefit from the adoption of this model. Originality/value The aim of this paper is to propose an integrated and modified sales comparison model for valuing under conditions of certainty, normal uncertainty and abnormal uncertainty. The integrated model can value based on direct comparison under conditions of certainty and uncertainty while addressing the in practice avoidance of advanced statistical techniques and the implications of the representative heuristic and halo effect as cognitive biases on valuation consistency.
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12

BASCI, Esref Savaş. "FIRM VALUATION CONCEPT AND DISCOUNTED CASH FLOW METHOD: A COMPARISON OF STOCK MARKETS." Annals of Spiru Haret University. Economic Series 19, no. 2 (June 28, 2019): 51–60. http://dx.doi.org/10.26458/1922.

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Company (or firm) valuation – an evaluation process of a company to appreciate the value of a company’s right in this company or business. There are two objective and subjective aspects of value. The subjective value is the value determined by individuals and desires. For example, it is a subjective decision that the investor assesses the competitor over the normal to be monopoly in the market. The objective value is the value determined by the cost and benefits of the goods and services.Although there are many performance measures that measure company success, none is as comprehensive as value. There is a strong and linear relationship between a company’s market value and its discounted cash flows. Because earnings are used to generate the income statement, they cannot be used to measure cash flows.Firm valuation means seeking the goal of the firm which is listing it on the Stock Exchange. Real value of the firm can be calculate with different methodologies. These methods are related to future expectations or background of the firm’s financial data. Discounted Cash Flow (DCF) Method is one of the firm valuation methods used all around the world and it is accepted by the experts.Market value is also used for comparison and performance measurement purposes. Valuation of a company’s future expectations, current status, mergers or acquisitions is extremely important. Even the firm value can be used to compare the capital markets of countries. In our study, capital markets and total market values of selected countries are compared. The increase in the share price increases the market value of the company. Therefore, the aim of the firms should be to increase the shareholder value or to take decisions to increase the stock price.
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13

Yrjölä, Mika. "Uncovering Executive Prioritization: Evaluating Customer Value Propositions with the Pairwise Comparison Method." Journal of Service Science and Management 08, no. 01 (2015): 1–13. http://dx.doi.org/10.4236/jssm.2015.81001.

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14

Karell, Mara A., Monika Lay, Helen K. Langstaff, and Elena F. Kranioti. "Pair-matching temporals using a digital mesh-to-mesh value comparison method." La Revue de Médecine Légale 8, no. 4 (December 2017): 185. http://dx.doi.org/10.1016/j.medleg.2017.10.014.

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15

Hughes, A. L., M. J. Hersom, J. M. B. Vendramini, T. A. Thrift, and J. V. Yelich. "Comparison of Forage Sampling Method to Determine Nutritive Value of Bahiagrass Pastures." Professional Animal Scientist 26, no. 5 (October 2010): 504–10. http://dx.doi.org/10.15232/s1080-7446(15)30638-0.

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Bunyan Unel, Fatma, and Sukran Yalpir. "VALUATIONS OF BUILDING PLOTS USING THE AHP METHOD." International Journal of Strategic Property Management 23, no. 3 (February 18, 2019): 197–212. http://dx.doi.org/10.3846/ijspm.2019.7952.

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Predicting the value of real estate is a complex endeavor due to the abundance of subjective criteria. Objective consideration of the value-affecting criteria in real estate and regulation of decision support systems will enable the acquisition of more accurate results. In this study, analytic hierarchy process (AHP), a type of multi-criteria decision analysis (MCDA), is used to reproduce coefficients that serve as the basis for real estate valuation. A region in the Selcuklu district of Konya, Turkey was used to test the model created by AHP. Weighted criteria describing areas subjected to purchase/sale were generated by the AHP method and then validated. Additionally, a valuation model was created by the multiple regression analysis (MRA) method for comparison and performance analyses. Weighted values were transformed from AHP points and acquired from the MRA method and then joined with geographic information systems (GIS). Value maps of the study area and purchase/sale values were generated according to these newly created models. The performance comparison and value maps revealed that the AHP method is more successful than the MRA method. This study addressed the complexity of criteria issue by using the original hierarchical structure of AHP and thus contributes to the world economy by enabling the generation of more accurate estimations.
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Eska, Andrita Ceriana. "Determination of MS Location through Building Using AoA Method of Frequency 47 GHz." IJITEE (International Journal of Information Technology and Electrical Engineering) 1, no. 3 (January 4, 2018): 76. http://dx.doi.org/10.22146/ijitee.31955.

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This research discusses the determination of mobile station (MS) location of the uplink communication system. The location determination mobile station is based on the angle-of-arrival (AoA) method. The communication propagation is influenced by building environment. The building environment was modeled with diffraction method. Several diffraction methods were used such as single knife edge, and multiple knife edge method. The communication frequency used was 47 GHz. The analysis used percentage value at coverage area and comparison of error percent values between two method to determine mobile station location. The percentage of the communication coverage area obtained was 71.4% or of 255 from 300 nodes. The comparison methods used for mobile station location determination were the selection of the best SNR and localization technique. The error percentage value based on the selection of the best SNR method is 0.95%. The error percentage value based on localization technique method is 0.78%.
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Qiu, Yan, Yi Wang Bao, Xiao Gen Liu, Xiu Fang Wang, and Kun Ming Li. "Comparison and Relative Error of Elastic Modulus in Glass Measured by Three Test Techniques." Key Engineering Materials 434-435 (March 2010): 209–13. http://dx.doi.org/10.4028/www.scientific.net/kem.434-435.209.

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Elastic modulus of glass was measured using static method, dynamic method and Vickers indentation technique, respectively. The residual indent of Vickers indentation is analyzed to estimate the elastic modulus, using conventional hardness tester without load-depth curve. The modulus and hardness of glass are determined by load, deformation and residual semi-angle of the indent. The result is compared with the modulus obtained by conventional dynamic and static methods. It was shown that the modulus measured by dynamic method provides the highest value and the modulus obtained by indentation technique is between the values of dynamic modulus and static modulus. The result also shows that the modulus measured by dynamic method has very stable value and that measured by bending method has the lowest value. The modulus obtained in indentation tests shows relatively greater scatter.
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Kalyani, P., and P. S. Rama Chandra Rao. "Solution of Boundary Value Problems by Approaching Spline Techniques." International Journal of Engineering Mathematics 2013 (September 30, 2013): 1–9. http://dx.doi.org/10.1155/2013/482050.

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In the present work a nonpolynomial spline function is used to approximate the solution of the second order two point boundary value problems. The classes of numerical methods of second order, for a specific choice of parameters involved in nonpolynomial spline, have been developed. Numerical examples are presented to illustrate the applications of this method. The solutions of these examples are found at the nodal points with various step sizes and with various parameters (α, β). The absolute errors in each example are estimated, and the comparison of approximate values, exact values, and absolute errors of at the nodal points are shown graphically. Further, shown that nonpolynomial spline produces accurate results in comparison with the results obtained by the B-spline method and finite difference method.
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Sri Rahayu Astari, Rusydi Umar, and Sunardi. "Comparison of Profile Matching Method with SMART Method for Laboratory Assistant Selection." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 2 (April 20, 2020): 311–18. http://dx.doi.org/10.29207/resti.v4i2.1723.

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Laboratory assistant in university are the main factors in determining the course of practical in the laboratory. So it needs to be selected to get an assistant with good competence. Assistant selection is done by assessing four aspects namely administration, competence, microteaching, and interview. So far the assessment is still done manually, the criteria value still has the same importance. The calculation method which is also not optimal has an impact on the results and the long time of decision making. So we need a method to overcome these problems. In this study the calculation methods used are Profile Matching and SMART (Simple Multi Attribute Rating Technique). Based on research conducted both methods work by grouping criteria according to their level of importance. There are 12 criteria divided into four aspects, and alternative data of 7 participants were taken from 2019 participant data. The results of the two methods are ranking sequences compared with ranking results in 2019 selection. The results of this study show better profile matching because it has an accuracy value 100% is exactly the same as the results of the previous selection, while SMART is only 42.8%.
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Woo, Ji-Yong, and Myung-Suk Kim. "Comparison Study of Parameter Estimation Methods for Some Extreme Value Distributions (Focused on the Regression Method)." Communications for Statistical Applications and Methods 16, no. 3 (May 31, 2009): 463–77. http://dx.doi.org/10.5351/ckss.2009.16.3.463.

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Almenar, P., and L. Jódar. "Solvability ofNth Order Linear Boundary Value Problems." International Journal of Differential Equations 2015 (2015): 1–19. http://dx.doi.org/10.1155/2015/230405.

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This paper presents a method that provides necessary and sufficient conditions for the existence of solutions ofnth order linear boundary value problems. The method is based on the recursive application of a linear integral operator to some functions and the comparison of the result with these same functions. The recursive comparison yields sequences of bounds of extremes that converge to the exact values of the extremes of the BVP for which a solution exists.
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Linnet, Kristian. "Necessary Sample Size for Method Comparison Studies Based on Regression Analysis." Clinical Chemistry 45, no. 6 (June 1, 1999): 882–94. http://dx.doi.org/10.1093/clinchem/45.6.882.

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Abstract Background: In method comparison studies, it is of importance to assure that the presence of a difference of medical importance is detected. For a given difference, the necessary number of samples depends on the range of values and the analytical standard deviations of the methods involved. For typical examples, the present study evaluates the statistical power of least-squares and Deming regression analyses applied to the method comparison data. Methods: Theoretical calculations and simulations were used to consider the statistical power for detection of slope deviations from unity and intercept deviations from zero. For situations with proportional analytical standard deviations, weighted forms of regression analysis were evaluated. Results: In general, sample sizes of 40–100 samples conventionally used in method comparison studies often must be reconsidered. A main factor is the range of values, which should be as wide as possible for the given analyte. For a range ratio (maximum value divided by minimum value) of 2, 544 samples are required to detect one standardized slope deviation; the number of required samples decreases to 64 at a range ratio of 10 (proportional analytical error). For electrolytes having very narrow ranges of values, very large sample sizes usually are necessary. In case of proportional analytical error, application of a weighted approach is important to assure an efficient analysis; e.g., for a range ratio of 10, the weighted approach reduces the requirement of samples by &gt;50%. Conclusions: Estimation of the necessary sample size for a method comparison study assures a valid result; either no difference is found or the existence of a relevant difference is confirmed.
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Santos, Paulo, Gabriela Lemes, and Diogo Mateus. "Analytical Methods to Estimate the Thermal Transmittance of LSF Walls: Calculation Procedures Review and Accuracy Comparison." Energies 13, no. 4 (February 14, 2020): 840. http://dx.doi.org/10.3390/en13040840.

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An accurate evaluation of the thermal transmittance ( U -value) of building envelope elements is fundamental for a reliable assessment of their thermal behaviour and energy efficiency. Simplified analytical methods to estimate the U -value of building elements could be very useful to designers. However, the analytical methods applied to lightweight steel framed (LSF) elements have some specific features, being more challenging to use and to obtain a reliable accurate U -value with. In this work, the main analytical methods available in the literature were identified, the calculation procedures were reviewed and their accuracy was evaluated and compared. With this goal, six analytical methods were used to estimate the U -values of 80 different LSF wall models. The obtained analytical U -values were compared with those provided by numerical simulations, which were used as reference U -values. The numerical simulations were performed using a 2D steady-state finite element method (FEM)-based software, THERM. The reliability of these numerical models was ensured by comparison with benchmark values and by an experimental validation. All the evaluated analytical methods showed a quite good accuracy performance, the worst accuracy being found in cold frame walls. The best and worst precisions were found in the Modified Zone Method and in the Gorgolewski Method 2, respectively. Very surprisingly, the ISO 6946 Combined Method showed a better average precision than other two methods, which were specifically developed for LSF elements.
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Mardenli, Omar R. "The Progeny test of Friesian sires for milk traits by using the contemporary comparison method." Revista Colombiana de Ciencia Animal - RECIA 13, no. 1 (March 11, 2021): e747. http://dx.doi.org/10.24188/recia.v13.n1.2021.747.

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In this study, the contemporary comparison method (CC) of half-sibs relation was used to estimate the breeding values of Holstein-Friesian sires for 305 -day milk yield (305-DMY) and basic components of milk traits, 409 records of cows that are daughters of ten sires in eight Syrian dairy farms where used. Result of the study showed differences in the estimated breeding values(ccEBVs), where the E Sire achieved the highest value of 305-DMY trait (254.47 kg), while the B Sire achieved the highest value of milk protein percentage (MPP), milk fat percentage (MFP)and milk lactose percentage (MLP) traits (0.822 %, 0.857 %and 1.09% respectively). According to their sires, daughters of E Sire outperformed the counterparts in the 305-DMY (p = 0.001), MPP (p = 0.001) and MFP (p = 0.04) traits (5701.44 kg, 3.55%, and 3.88% respectively). According to source of farm, daughters in Farm 5 achieved the highest value of 305-DMY trait (p=0.04) and daughters in the seventh farm achieved the highest value of MPP trait (p=0.007), the values were 5403.48 kg and 3.54 % respectively. Values of heritability (h2) for the traits of 305-DMY, MPP, MFP and MLP were 0.33,0.54,0.43 and 0.47 respectively. Most of genetic and phenotypic correlations coefficients were approaching to zero except the genetic relation between MLP and MPP and phenotypic relation between MFP and MPP (0.88 and 0.84 respectively).
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Kolankov, Sergey V., Svenlana P. Voronova, and Ulia A. Golikova. "Development of Methods of Assessing the Land Market Value." Materials Science Forum 931 (September 2018): 1137–41. http://dx.doi.org/10.4028/www.scientific.net/msf.931.1137.

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This article discusses methods for assessing the market value of land plots used in a comparative and income approaches. The comparative approach includes the sales comparison approach, the method of allocation and the method of distribution. The income approach includes the method of capitalization of land rent, the balance (residual) method and the method of intended use. The work analyzes the content of normative legal acts used to determine the market value of this type of property. Basically this is the provisions of the Guidelines (methodological recommendations) for determining the market value of land plots. As a result of the analysis, the authors suggest the main directions for the development of existing methods used in valuation activities.
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Isselmou, Abd El Kader, Guizhi Xu, and Shuai Zhang. "Improved Methods for Brain Tumor Detection and Analysis Using MR Brain Images." Biomedical and Pharmacology Journal 12, no. 04 (December 28, 2019): 1621–31. http://dx.doi.org/10.13005/bpj/1793.

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Medical image processing techniques play an important role in helping doctors and facilities for patient diagnosis, the aim of this paper is comparison between three improved methods to identify the brain tumor using magnetic resonance brain images and analysis of the performance of each method according to different values, accuracy, nJaccard coeff, ndice, sensitivity, specificity, recall and precision values,We used three improved methods the first method improved fuzzy c-means algorithm (IFCM), the second method is improved feed-forward neural network (IFFNN), and the third method is a hybrid self-organizing map with a fuzzy k-means algorithm,the significance of these methods is complementary among them where each one has an advantage in a certain value as shown in the paper results, the three methods gave a very good performance, generally they can identify the tumor area clearly in MR brain image with different performance of the values, each method gave better values than others according to a comparison between the performance value of three methods,Finally, the improved methods allow the development of algorithms to diagnose a tumor more accurately and for a short period of time and each method is distinguished from each other in the performance and value, this gives integrity and strength to this work, these methods can be used in pre and post radio surgical applications
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Samoilenko, Oleksandr, and Yurii Kuzmenko. "The measurements results adjustment by the Least Square Method." Measurements infrastructure 1 (May 20, 2021): 1–8. http://dx.doi.org/10.33955/v1(2021)-001.

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The method for processing of the measurement results obtained from Comite International des Poids et Measures (CIPM) Key, Regional Metrology Organizations (RMO) or supplementary comparisons, from the proficiency testing by interlaboratory comparisons and the calibrations is proposed. It is named by authors as adjustment by least square method (LSM). Additive and multiplicative parameters for each measuring standard of every particular laboratory will be the results of this adjustment. As well as the parameters for each artifact. The parameters of the measurements standards are their additive and multiplicative degrees of equivalence from the comparison and the estimations of the systematic errors (biases) from calibrations. The parameters of the artifacts are the key comparisons reference value from the comparison and the assigned quantity values from the calibrations. The adjustment is considered as a way to solving a problem of processing the great amount of homogeneous measurements with many measuring standards at a different comparison levels (CIPM, RMO or supplementary), including connected problems. Four different cases of the adjustments are considered. The first one is a free case of adjustment. It was named so because of the fact that none of participants has any advantage except their uncertainties of measurements. The second one is a fixed case of adjustment. Measuring results of RMO and supplementary comparisons are rigidly linked to additive and multiplicative parameters of measuring standards of particular laboratories participated in CIPM key comparisons. The third one is a case of adjustment with dependent equations. This one is not so rigidly linked of the new comparisons results to previous or to some other comparisons as for fixed case. It means that the new results of comparisons are influenced by the known additive and multiplicative parameters and vice versa. The fourth one is a free case of adjustment with additional summary equations. In that case certain checking equations are added to the system of equations. So, the sum of parameters multiplied by their weights of all measurement standards for particular laboratories participated in comparisons should be equal to zero.
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Analla, M., A. Muñoz-Serrano, and J. M. Serradilla. "Comparison of the simple breeding value model and the maternal effects model for genetic evaluation of Segureña lambs." Animal Science 68, no. 3 (April 1999): 427–32. http://dx.doi.org/10.1017/s1357729800050438.

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AbstractWeaning weight in a single flock of 600 ewes and 40 rams was simulated through 30 consecutive lambings. The objective was to compare the simple breeding value model with the maternal effects model for lamb evaluation under the Segureña selection scheme. Three selection strategies were tested: selection on breeding values estimated by a simple breeding value model that ignores maternal effects (method 1), selection on direct additive values only (method 2) or on the sum of direct and maternal additive values (method 3), both latter methods utilizing a maternal effects model. Average values obtained in the last lamb crop were about 18 kg for the phenotypic mean, about 5 kg for direct additive values and about -1 kg for maternal additive values, for all three methods. Average inbreeding coefficient of the last crop was more than 0·13 in method 1 but was less than 0·12 in the others. All differences were not statistically significant (P > 0·05). Consequently, the simple breeding value model can be used for the genetic evaluation of weaning weight of candidates for selection in the Segureña scheme. The effect of variation in the magnitude of parameters was evaluated through four sets of parameters. Results showed that with a higher additive maternal component, method (3) would become increasingly necessary. The need for method (3) is accentuated with more negative additive covariance between direct and maternal effects. Thus, for higher maternal effects or more negative additive correlation, the use of the complete model (with maternal effects) becomes unavoidable. Varying population size, however, affects only the inbreeding accumulated, as long as the same methods of selection are used.
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Sun, Xiao Xin, and Wei Qu. "Comparison between Mean Filter and Median Filter Algorithm in Image Denoising Field." Applied Mechanics and Materials 644-650 (September 2014): 4112–16. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4112.

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An image denoising method based on spatial filtering is proposed on order to overcoming the shortcomings of traditional denoising methods in this paper. The method combined mean mask algorithm with median filtering technique is able to replace the gray values of noisy image pixel by the mean or median value in its neighborhood mask matrix and highlight the characteristic value of the image. Peak signal to noise ratio and mean square error are used as the evaluation index in this method and comparison between mean filter and median filter is done. The experimental results show that this denoising system makes the images have a high signal to noise ratio and integrity of edge details and take into account real-time, and fast response characteristic of the system.
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31

Fallico, C., E. Migliari, and S. Troisi. "Comparison of three measurement methods of saturated hydraulic condutivity." Hydrology and Earth System Sciences Discussions 3, no. 3 (June 14, 2006): 987–1019. http://dx.doi.org/10.5194/hessd-3-987-2006.

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Abstract. After pointing out the importance of the saturated hydraulic conductivity (ks) measurements and the difficulties and uncertainties that are present, and after recalling salient aspects of three well-known measurement methods of this parameter (i.e. constant-head tension infiltrometer (TI) method, constant-head pressure infiltrometer (PI) method and soil core (SC) estimates method), the results of an investigation on data which were obtained during a measurement campaign on an area of 800 m2, on a sandy loam hillslope, located in Southern Italy, were carried out again here. Three sets of values of ks, obtained with these measurement methods, were analyzed statistically, verifying that the log-normal distribution describes these better than the normal one; moreover, the more significant statistical parameters of each set were compared (average value , amplitude A, coefficient of variation CV and standard deviation SD), individualizing the more significant differences. The greatest value of hydraulic conductivity was found with method (PI), while the smallest with (SC) and the intermediate with (TI); these differences were translated into macroporosity and into the influence of the single measurement method. Moreover, referring to the possible factors affecting the results, the importance can be noted of the structure, the texture and the soil events, in terms of utilization, which can affect the measure of ks leading often to very different values even for similar soils, but with a different history, independently of the coincidence of the measurement points and they can be determining to explain the differences affecting the results obtained in analogous investigations by other researchers. Having confirmed that generalization is not possible, the need was emphasized to adopt the necessary devices relating to the specific measurement method, case by case, and to carefully explain the obtained results, in the light of the peculiarities and the limits of each situation. Finally, the results of similar statistical analysis carried out on a greater number of ks values, measured through the (TI) and (PI) methods are shown in this paper, with some statistical considerations on the increasing of the measurements number.
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32

Ribeiro, Elivaldo Lozer, Daniela Barreiro Claro, and Rita Suzana Maciel. "Comparison and Choice of Computational Architectures Based on Cost-Value Approach." iSys - Brazilian Journal of Information Systems 14, no. 1 (May 14, 2021): 56–88. http://dx.doi.org/10.5753/isys.2021.968.

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Software engineers make use of several computational architectures (CA) to host an application, such as desktop, web, and cloud computing architectures. As the requirements vary according to the desired CA, developers may face two problems: determining which requirement better fulfills a CA and determining which CA fulfills a given set of requirements. This paper presents a new approach based on the Cost-Value Approach (CVA). We have slightly modified the CVA method (SCVA method) and also developed a new method for choosing the most appropriate CA (MMACA method). Our results provide a set of requirements ordered by priority for each CA. Finally, we discuss the current and most appropriate CA for a real project solution.
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33

Feng, Yuan, and Ji Xian Wang. "Comparison between Optimization Method and Experience-Based Method in Soil Conservation." Advanced Materials Research 726-731 (August 2013): 3811–17. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.3811.

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The analysis of the slope stability is important in soil conservation. To analyze the slope stability, optimization methods were coded and compared with the traditional experience-based methods. Furthermore, the results were visualized in the program, so that the user can easily check the results and can designate an area, in which the program seeks the center and radius of the most hazardous slide arc. Moreover, the graphic interaction function was implemented in the program. In addition, the Standard Model One, recommended by ACAD (The Association for Computer Aided Design), was calculated by the program, of which the results (safety factor Ks=0.95~0.96) were smaller than the official recommend value (Ks=1). It is because that the traditional slice method, which neglects the normal stress and shear stress between the slices, was applied for calculation of Ks.
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34

Tsiminikaki, Konstantina, Mara A. Karell, Demetrios Halazonetis, and Elena F. Kranioti. "Pair-matching phalanges using an automated digital Mesh-to-Mesh Value Comparison method." La Revue de Médecine Légale 8, no. 4 (December 2017): 191–92. http://dx.doi.org/10.1016/j.medleg.2017.10.035.

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35

Rathore, Pawan, Ganga Agnihotri, Baseem Khan, and Garima Naidu. "Transmission Usage and Cost Allocation Using Shapley Value and Tracing Method: A Comparison." Electrical and Electronics Engineering: An International Journal 3, no. 3 (August 31, 2014): 11–29. http://dx.doi.org/10.14810/elelij.2014.3302.

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36

Saraiva, Odirley Willians Miranda, Gustavo Nogueira Dias, Fabricio da Silva Lobato, José Carlos Barros de Souza Júnior, Washington Luiz Pedrosa da Silva Junior, Cássio Pinho dos Reis, Rondineli Carneiro Loureiro, et al. "Integration method of non-elementary exponential functions using iterated Fubinni integrals." International Journal for Innovation Education and Research 9, no. 9 (September 1, 2021): 169–77. http://dx.doi.org/10.31686/ijier.vol9.iss9.3326.

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The present work presents a new method of integration of non-elementary exponential functions where Fubinni's iterated integrals were used. In this research, some approximations were used in order to generalize the results obtained through mathematical series, in addition to integration methods and double integrals. In addition to the integration methods, the Taylor series was used, where the value found and compatible with the values ​​of the power series that are used to calculate the value of the exponential function demonstrated in the work was verified. In addition to the methods described, a comparison of the values ​​obtained by the series and the values ​​described in the method was improvised, where it was noticed that the higher the value of the variable, the closer the results show a stability for the variable greater than the value 4, described in table 01. The conclusions point to a great improvement, mainly for solving elliptic differential equations and statistical functions.
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37

Рыкунин, Stanislav Rykunin, Куликова, Nadezhda Kulikova, Кривощёков, and Nikita Krivoshchekov. "The calculation method of supply with the given wane value." Forestry Engineering Journal 6, no. 3 (October 10, 2016): 91–99. http://dx.doi.org/10.12737/21685.

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The proposed method of calculation made with the setpoint wane proved its effectiveness was tested and showed the following results. Volumetric output of lumbers with a blunt wane obtained by the method of cutting breakup increase compared with edging materials obtained in the same way cutting, by 7 %, that is 1.13 times. Volumetric output edged lumbers blunt wane when cutting with squaring increase by 14.17 %, that is 1.27 times. Volumetric output edged lumbers blunt wane obtained lumber-breakup means cutting increases in comparison with breakup method of cutting to 7.17 %, that is 1.085 times.
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38

Miyajima, Hirofumi, Noritaka Shigei, and Hiromi Miyajima. "Performance Comparison of Hybrid Electromagnetism-Like Mechanism Algorithms with Descent Method." Journal of Artificial Intelligence and Soft Computing Research 5, no. 4 (October 1, 2015): 271–82. http://dx.doi.org/10.1515/jaiscr-2015-0035.

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Abstract Electromagnetism-like Mechanism (EM) method is known as one of metaheuristics. The basic idea is one that a set of parameters is regarded as charged particles and the strength of particles is corresponding to the value of the objective function for the optimization problem. Starting from any set of initial assignment of parameters, the parameters converge to a value including the optimal or semi-optimal parameter based on EM method. One of its drawbacks is that it takes too much time to the convergence of the parameters like other meta-heuristics. In this paper, we introduce hybrid methods combining EM and the descent method such as BP, k-means and FIS and show the performance comparison among some hybrid methods. As a result, it is shown that the hybrid EM method is superior in learning speed and accuracy to the conventional methods.
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39

Musashi, Jaka Pratama, Henny Pramoedyo, and Rahma Fitriani. "Comparison of Inverse Distance Weighted and Natural Neighbor Interpolation Method at Air Temperature Data in Malang Region." CAUCHY 5, no. 2 (May 21, 2018): 48. http://dx.doi.org/10.18860/ca.v5i2.4722.

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The purpose of this study was to compare the results of Inverse Distance Weighted (IDW) and Natural Neighbor interpolation methods for spatial data of air temperature in the Malang Region. Interpolation is one way to determine a point of events from several points around the known value. Spatial interpolation can be used to estimate an area that does not have a data record using the value of its known surroundings. 38 points observation air temperature of Malang Region in 2016 is used as a sample point to interpolate the surrounding air temperature. Obtained optimum parameter power value is 2 for IDW interpolation method. The RMSE comparison results show that IDW method is better to be used than the Natural Neighbor Interpolation method with the RMSE values of 1,2292 for the IDW method and 1,6173 for the NN method.
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40

Saeed, Abdulkafi Mohammed, and Najah Mohammad AL-harbi. "Group Splitting with SOR/AOR Methods for Solving Boundary Value Problems: A Computational Comparison." European Journal of Pure and Applied Mathematics 14, no. 3 (August 5, 2021): 905–14. http://dx.doi.org/10.29020/nybg.ejpam.v14i3.4031.

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Many researchers are working on the explicit group methods as the alternative methods for solving several boundary value problems. These methods have been shown to be much faster than the other point iterative methods in solving the elliptic partial differential equations (EPDEs), which is due to the formers’ overall lower computational complexities. This paper is concerned with the application of a suitable Explicit Group (EG) iterative method for solving EPDEs. This study will compare several iterative methods such that S5-point-SOR,4 Point-EGSOR, 5S-point-AOR, and 4 Point-EGAOR. Numerical experiments were carried out to confirm our results by using MATLAB software. The results reveal that 4 Point-EGAOR is the most superior method among these methods.
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41

Kim, Jaeyeon, Nayoung Kim, Hyun Jin Jo, Ji Hyun Park, Ryoung Hee Nam, Yeong-Jae Seok, Yeon-Ran Kim, et al. "An Appropriate Cutoff Value for Determining the Colonization ofHelicobacter pyloriby the Pyrosequencing Method: Comparison with Conventional Methods." Helicobacter 20, no. 5 (February 9, 2015): 370–80. http://dx.doi.org/10.1111/hel.12214.

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42

Obanawa, Hiroyuki, Rena Yoshitoshi, Nariyasu Watanabe, and Seiichi Sakanoue. "Portable LiDAR-Based Method for Improvement of Grass Height Measurement Accuracy: Comparison with SfM Methods." Sensors 20, no. 17 (August 26, 2020): 4809. http://dx.doi.org/10.3390/s20174809.

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Plant height is a key indicator of grass growth. However, its accurate measurement at high spatial density with a conventional ruler is time-consuming and costly. We estimated grass height with high accuracy and speed using the structure from motion (SfM) and portable light detection and ranging (LiDAR) systems. The shapes of leaf tip surface and ground in grassland were determined by unmanned aerial vehicle (UAV)-SfM, pole camera-SfM, and hand-held LiDAR, before and after grass harvesting. Grass height was most accurately estimated using the difference between the maximum value of the point cloud before harvesting, and the minimum value of the point cloud after harvesting, when converting from the point cloud to digital surface model (DSM). We confirmed that the grass height estimation accuracy was the highest in DSM, with a resolution of 50–100 mm for SfM and 20 mm for LiDAR, when the grass width was 10 mm. We also found that the error of the estimated value by LiDAR was about half of that by SfM. As a result, we evaluated the influence of the data conversion method (from point cloud to DSM), and the measurement method on the accuracy of grass height measurement, using SfM and LiDAR.
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43

Throne, Robert, and Lorraine Olson. "The Steady Inverse Heat Conduction Problem: A Comparison of Methods With Parameter Selection." Journal of Heat Transfer 123, no. 4 (February 1, 2001): 633–44. http://dx.doi.org/10.1115/1.1372193.

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In the past we have developed the Generalized Eigensystem GESL techniques for solving inverse boundary value problems in steady heat conduction, and found that these vector expansion methods often give superior results to those obtained with standard Tikhonov regularization methods. However, these earlier comparisons were based on the optimal results for each method, which required that we know the true solution to set the value of the regularization parameter (t) for Tikhonov regularization and the number of mode clusters Nclusters for GESL. In this paper we introduce a sensor sensitivity method for estimating appropriate values of Nclusters for GESL. We compare those results with Tikhonov regularization using the Combined Residual and Smoothing Operator (CRESO) to estimate the appropriate values of t. We find that both methods are quite effective at estimating the appropriate parameters, and that GESL often gives superior results to Tikhonov regularization even when Nclusters is estimated from measured data.
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44

Yan, Zhi Jun, Ming Yue Zhang, Chun Xiao Xu, Hai Tao Zhao, Yue Ping Tang, and Hui Rong Wang. "Comparison and Analysis of Prediction Methods for Water Consumption per Ten Thousand Yuan Industrial Added Value." Advanced Materials Research 1073-1076 (December 2014): 2653–58. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.2653.

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Water consumption per ten thousand yuan industrial added value (WCPIAV) is the assessment indicator to implement the most stringent water management system to control water efficiency. This paper proposes trend analysis method, elasticity coefficient analysis method and influencing factors analysis method to predict WCPIAV in Jiangsu province, the experimental areas where implement the most stringent water management system. The results show that different methods predict well in different cities, influencing factors analysis method works better than the other two methods. An appropriate method should be selected depending on the specific situation.
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45

Ablow, C. M., S. Schechter, and W. H. Zwisler. "Node Selection for Two-Point Boundary-Value Problems." Journal of Fluids Engineering 107, no. 3 (September 1, 1985): 364–69. http://dx.doi.org/10.1115/1.3242494.

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The solutions of two-point boundary-value problems often have boundary layers, narrow regions of sharp variation, that can occur in any part of the interval between the points. A finite difference method of numerical solution will generally require more closely spaced nodes in the boundary layers than elsewhere. An automatic method is needed for achieving the irregular spacing when the location of the boundary layer is not known in advance. Several automatic node-insertion or node-movement methods have been proposed. A new node-movement method is presented that is optimal under the criterion of producing the least sum of squares of the truncation errors at the nodes. For the Keller box scheme applied to a system of N coupled first-order differential equations this truncation-error minimizing (TEM) method increases the system size to N+6 equations. The campylotropic coordinate transformation method and other published methods based on heuristically derived monitor functions are node-movement methods that involve systems of only N+1 or N+2 first order equations. A comparison is made of the accuracies of several such methods and the TEM method in the solution of a standard problem.
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46

ABACI, Samet Hasan, and Hasan ÖNDER. "Comparison of BLUP and Bayesian methods for different sizes of training population in genomic selection." TURKISH JOURNAL OF VETERINARY AND ANIMAL SCIENCES 44, no. 5 (October 27, 2020): 994–1002. http://dx.doi.org/10.3906/vet-2001-52.

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This study aims to compare the accuracy of pedigree-based and genomic-based breeding value prediction for different training population sizes. In this study, Bayes (A, B, C, Cpi) and GBLUP methods for genomic selection and BLUP method for pedigree-based selection were used. Genomic and pedigree-based breeding values were estimated for partial milk yield (158 days) of Holstein cows (400 individuals) from a private enterprise in the USA. For this aim, populations were created for indirect breeding value estimates as training (322–360) and test (78–40) populations. In animals genotyped with a 54k SNP, the marker file was encoded as –10, 0, and 10 for AA, AB, and BB marker genotypes, respectively. Bayes and GBLUP methods were performed using GenSel 4.55 software. A total of 50,000 iterations were used, with the first 5000 excluded as the burn-in. Pedigree-based breeding values were estimated by REML using MTDFREML software employing an animal model. Correlations between partial milk yield and estimated breeding values were used to assess the predictive ability for methods. Bayes B method gave the highest accuracy for the indirect estimate of breeding value.
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47

Suniantara, I. Ketut Putu, and I. Gede Eka Wiantara Putra. "Comparison of VIKOR and TOPSIS Methods in Multiresponse Taguchi Optimization." Journal of Education Research and Evaluation 2, no. 3 (January 25, 2019): 106. http://dx.doi.org/10.23887/jere.v2i3.12796.

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Multirepon optimization in the Taguchi method can be done by using the VIKOR and TOPSIS approach, which are based on the concept that the best chosen alternative not only has the shortest distance from a positive ideal solution, but also has the longest distance from the negative ideal solution. The basic concept of these two methods is to determine the ranking of existing samples by looking at the results of the utility (S), regrets (R) and solution distances as the best alternatives for each sample. This study aims to obtain significant process variables on the brightness and soreness response variables in the envelope making process by using VIKOR and TOPSIS method approaches, and comparing the results of VIKOR and TOPSIS optimization. The results showed that the two methods produced process optimization in setting variables that were not the same. The VIKOR method produced a setting variable namely A3B2C1D1 while the TOPSIS method produced a setting variable A1B1C3D3. Looking at the value of the two methods, the VIKOR method produced a better estimated value of the brightness parameters and TOPSIS produced a better estimate value for the silence parameter.
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48

Saha Ray, S. "The comparison of two reliable methods for the accurate solution of fractional Fisher type equation." Engineering Computations 34, no. 8 (November 6, 2017): 2598–613. http://dx.doi.org/10.1108/ec-03-2017-0074.

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Purpose The purpose of this paper is the comparative analysis of Haar Wavelet Method and Optimal Homotopy Asymptotic Method for fractional Fisher type equation. In this paper, two reliable techniques, Haar wavelet method and optimal homotopy asymptotic method (OHAM), have been presented. The Haar wavelet method is an efficient numerical method for the numerical solution of fractional order partial differential equation like the Fisher type. The approximate solutions of the fractional Fisher-type equation are compared with those of OHAM and with the exact solutions. Comparisons between the obtained solutions with the exact solutions exhibit that both the featured methods are effective and efficient in solving nonlinear problems. However, the results indicate that OHAM provides more accurate value than the Haar wavelet method. Design/methodology/approach Comparisons between the solutions obtained by the Haar wavelet method and OHAM with the exact solutions exhibit that both featured methods are effective and efficient in solving nonlinear problems. Findings The comparative results indicate that OHAM provides a more accurate value than the Haar wavelet method. Originality/value In this paper, two reliable techniques, the Haar wavelet method and OHAM, have been proposed for solving nonlinear fractional partial differential equation, i.e. fractional Fisher-type equation. The proposed novel methods are well suited for only nonlinear fractional partial differential equations. It also exhibits that the proposed method is a very efficient and powerful technique in finding the solutions for the nonlinear time fractional differential equations. The main significance of the proposed method is that it requires less amount of computational overhead in comparison to other numerical and analytical approximate methods. The application of the proposed methods for the solutions of time fractional Fisher-type equations satisfactorily justifies its simplicity and efficiency.
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MARINELLI, CARLO, STEFANO D'ADDONA, and SVETLOZAR T. RACHEV. "A COMPARISON OF SOME UNIVARIATE MODELS FOR VALUE-AT-RISK AND EXPECTED SHORTFALL." International Journal of Theoretical and Applied Finance 10, no. 06 (September 2007): 1043–75. http://dx.doi.org/10.1142/s0219024907004548.

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We compare in a backtesting study the performance of univariate models for Value-at-Risk (VaR) and expected shortfall based on stable laws and on extreme value theory (EVT). Analyzing these different approaches, we test whether the sum–stability assumption or the max–stability assumption, that respectively imply α–stable laws and Generalized Extreme Value (GEV) distributions, is more suitable for risk management based on VaR and expected shortfall. Our numerical results indicate that α–stable models tend to outperform pure EVT-based methods (especially those obtained by the so-called block maxima method) in the estimation of Value-at-Risk, while a peaks-over-threshold method turns out to be preferable for the estimation of expected shortfall. We also find empirical evidence that some simple semiparametric EVT-based methods perform well in the estimation of VaR.
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50

He, Chun Lin, and Cheng Zhong Gong. "Comparison and Analysis on Self-Balanced Method and Anchored Pile Method in Qingdao Gulf Bridge." Advanced Materials Research 838-841 (November 2013): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.1024.

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Based on the situ results of Self-balanced Method and Anchored Pile Method on the piles of Qingdao Gulf Bridge, the test method of them have been contrasted in same cite. Compared with anchor piles method the self-balancing test is simple way which saves money and time. And the load-displacement curve obtained from the self-balanced test is closed to anchored pile test; from the view of the sides shear resistance, the side resistance below the load cell in Self-balanced Method is less than the value in Anchored Pile Method while the value under the load cell is more than it. The proportion which tip resistance occupied in self-balancing test is more than the traditional anchor piles method, it should be considered in pile design.
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