Journal articles: 'Calculation prediction'

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Fischer, G., A. Neurauter, L. Wieser, H. U. Strohmenger, and C. N. Nowak. "Prediction of Countershock Success." Methods of Information in Medicine 48, no. 05 (2009): 486–92. http://dx.doi.org/10.3414/me0580.

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Summary Objectives: Spectral analysis of the ventricular fibrillation (VF) ECG has been used for predicting countershock success, where the Fast Fourier Transformation (FFT) is the standard spectral estimator. Autoregressive (AR) spectral estimation should compute the spectrum with less computation time. This study compares the predictive power and computational performance of features obtained by the FFT and AR methods. Methods: In an animal model of VF cardiac arrest, 41 shocks were delivered in 25 swine. For feature parameter analysis, 2.5 s signal intervals directly before the shock and directly before the hands-off interval were used, respectively. Invasive recordings of the arterial pressure were used for assessing the outcome of each shock. For a proof of concept, a micro-controller program was implemented. Results: Calculating the area under the receiver operating characteristic (ROC) curve (AUC), the results of the AR-based features called spectral pole power (SPP) and spectral pole power with dominant frequency (DF) weighing (SPPDF) yield better outcome prediction results (85 %; 89 %) than common parameters based on FFT calculation method (centroid frequency (CF), amplitude spectrum area (AMSA)) (72%; 78%) during hands-off interval. Moreover, the predictive power of the feature parameters during ongoing CPR was not invalidated by closed-chest compressions. The calculation time of the AR-based parameters was nearly 2.5 times faster than the FFT-based features. Conclusion: Summing up, AR spectral estimators are an attractive option compared to FFT due to the reduced computational speed and the better outcome prediction. This might be of benefit when implementing AR prediction features on the microprocessor of a semi-automatic defibrillator.

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Lin, Y., E. Lin, and M. Ling. "Strain Concentration Calculation of Fatigue." Journal of Engineering Materials and Technology 117, no. 2 (April 1, 1995): 179–82. http://dx.doi.org/10.1115/1.2804527.

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On the basis of the authors’ rule of sliding to transform elastic solution to plastic in a previous paper, a new method of calculating fatigue is developed by using ordinary relaxation methods in conjunction to take care of the gradual enlarging of the plastic zone. The results of the calculations agree with the experimental data by the fine grid method. The calculation method developed here with the authors’ crack propagation prediction method in another previous paper lead to an interpretation of fatigue mechanism.

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Husain, Syed Zahid, and Claude Girard. "Impact of Consistent Semi-Lagrangian Trajectory Calculations on Numerical Weather Prediction Performance." Monthly Weather Review 145, no. 10 (October 2017): 4127–50. http://dx.doi.org/10.1175/mwr-d-17-0138.1.

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Inconsistencies may arise in numerical weather prediction models—that are based on semi-Lagrangian advection—when the governing dynamical and the kinematic trajectory equations are discretized in a dissimilar manner. This study presents consistent trajectory calculation approaches, both in the presence and absence of off-centering in the discretized dynamical equations. Both uniform and differential off-centering in the discretized dynamical equations have been considered. The proposed consistent trajectory calculations are evaluated using numerical experiments involving a nonhydrostatic two-dimensional theoretical mountain case and hydrostatic global forecasts. The experiments are carried out using the Global Environmental Multiscale model. Both the choice of the averaging method for approximating the velocity integral in the discretized trajectory equations and the interpolation scheme for calculating the departure positions are found to be important for consistent trajectory calculations. Results from the numerical experiments confirm that the proposed consistent trajectory calculation approaches not only improve numerical consistency, but also improve forecast accuracy.

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Zeng, Lin Suo, and Zhong Lei Chen. "Study on Application of Improved Predictive Current Method in STATCOM." Advanced Materials Research 433-440 (January 2012): 6089–95. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6089.

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Predictive current method as a control strategy of the STATCOM is more and more applied to practical production. The traditional predictive current method can only predict the reactive current in the broad sense, and not detailed to predict for any harmonic; and the delay caused by sampling, analysis and calculation, prediction do not led to a good predictor for control requirements during the traditional prediction. In this paper, the above issues are appropriately improved. And the simulation results verify its operability.

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Ani R, Anand P S, Sreenath B, and Deepa O S. "In Silico Prediction Tool for Drug-likeness of Compounds based on Ligand Based Screening." International Journal of Research in Pharmaceutical Sciences 11, no. 4 (October 6, 2020): 6273–81. http://dx.doi.org/10.26452/ijrps.v11i4.3310.

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Drug Likeness prediction is a time-consuming and tedious process. An in-vitro method the drug development takes a long time to come to market. The failure rate is also another one to think about in this method. There are many in-silico methods currently available and developing to help the drug discovery and development process. Many online tools are available for predicting and classifying a drug after analyzing the drug-likeness properties of compounds. But most tools have their advantages and disadvantages. In this study, a tool is developed to predict the drug-likeness of compounds given as input to this software. This may help the chemists in analyzing a compound before actually preparing a compound for the drug discovery process. The tool includes both descriptor-based calculation and fingerprint-based calculation of the particular compounds. The descriptor-calculation also includes a set of rules and filters like Lipinski’s rule, Ghose filter, Veber filter and BBB likeness. The previous studies proved that the fingerprint-based prediction is more accurate than descriptor-based prediction. So, in the current study, the drug-likeness prediction tool incorporated the molecular descriptors and fingerprint-based calculations based on five different fingerprint types. The current study incorporated five different machine learning algorithms for prediction of drug-likeness and selected the algorithm, which has a high accuracy rate. When a chemist inputs a particular compound in SMILES format, the drug-likeness prediction tool predicts whether the given candidate compound is drug or non-drug.

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Kern, C., K. Kortüm, M. Müller, A. Kampik, S. Priglinger, and W. J. Mayer. "Comparison of Two Toric IOL Calculation Methods." Journal of Ophthalmology 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/2840246.

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Purpose. To compare two calculators for toric intraocular lens (IOL) calculation and to evaluate the prediction of refractive outcome. Methods. Sixty-four eyes of forty-five patients underwent cataract surgery followed by implantation of a toric intraocular lens (Zeiss Torbi 709 M) calculated by a standard industry calculator using front keratometry values. Prediction error, median absolute error, and refractive astigmatism error were evaluated for the standard calculator. The predicted postoperative refraction and toric lens power values were evaluated and compared after postoperative recalculation using the Barrett calculator. Results. We observed a significant undercorrection in the spherical equivalent (0.19 D) by using a standard calculator (p≤0.05). According to the Baylor nomogram and the refractive influence of posterior corneal astigmatism (PCA), undercorrection of the cylinder was lower for patients with WTR astigmatism, because of the tendency of overcorrection. An advantage of less residual postoperative SE, sphere, and cylinder for the Barrett calculator was observed when retrospectively comparing the calculated predicted postoperative refraction between calculators (p≤0.01). Conclusion. Consideration of only corneal front keratometric values for toric lens calculation may lead to postoperative undercorrection of astigmatism. The prediction of postoperative refractive outcome can be improved by using appropriate methods of adjustment in order to take PCA into account.

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Muhadzdzab, Humam, Marsani Asfi, and Tiara Eka Putri. "Sistem Prediksi untuk Menentukan Jumlah Pendaftaran Mahasiswa Baru pada Unversitas Catur Insan Cendekia Menggunakan Metode Least Square." Jurnal Informatika Universitas Pamulang 5, no. 3 (September 30, 2020): 350. http://dx.doi.org/10.32493/informatika.v5i3.6598.

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The prediction system for determining the number of prospective new students aims to make decisions and prioritize how many new students will be accepted and as a means of enthusiasts for the most study program trends each year, in making a prediction system, a method for good calculations is needed, so it is necessary method for the prediction system. This prediction system uses the Least Square method for the calculation of prediction results for system design carried out with an object-oriented approach using UML. The computer-based system built is web-based using the programming languages PHP and MySQL. From this research, the Least Sqaure method can be implemented to calculate predictions to determine the number of prospective new student registrations and to help the secretariat staff in the admissions section to find out the most interest in the study program each year.

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Yanto, Musli, Sigit Sanjaya, Yulasmi Yulasmi, Dodi Guswandi, and Syafri Arlis. "Implementation multiple linear regresion in neural network predict gold price." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (June 1, 2021): 1635. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1635-1642.

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<p>The movement of gold prices in the previous period was crucial for investors. However, fluctuations in gold price movements always occur. The problem in this study is how to apply multiple linear regression (MRL) in predicting artificial neural networks (ANN) of gold prices. MRL is mathematical calculation technique used to measure the correlation between variables. The results of the MRL analysis ensure that the network pattern that is formed can provide precise and accurate prediction results. In addition, this study aims to develop a predictive pattern model that already exists. The results of the correlation test obtained by MRL provide a correlation of 62% so that the test results are said to have a significant effect on gold price movements. Then the prediction results generated using an ANN has a mean squared error (MSE) value of 0.004264%. The benefits obtained in this study provide an overview of the gold price prediction pattern model by conducting learning and approaches in testing the accuracy of the use of predictor variables.</p>

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Bi, Gui Quan. "Prediction of Ground Settlement Based on Immune Genetic Algorithm." Applied Mechanics and Materials 155-156 (February 2012): 1056–60. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.1056.

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It is very important to predict ground settlement and provide effective dada for construction on soft soil foundation. There are several prediction methods.However, back analysis method is identified as the most effective method in all these methods. The most primarily used method in back analysis methods is optimization algorithm. In this paper, to realize accurate prediction and calculation of soft soil foundation settlement, an improved immune genetic algorithm is presented by introducing immune mechanism to genetic algorithm. A example was given and illustrated that this algorithm can greatly improve calculation speed and accuracy in predicting soft soil foundation settlement.

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Hearn, G. E., K. C. Tong, and S. M. Lau. "Sensitivity of Wave Drift Damping Coefficient Predictions to the Hydrodynamic Analysis Models Used in the Added Resistance Gradient Method." Journal of Offshore Mechanics and Arctic Engineering 110, no. 4 (November 1, 1988): 337–47. http://dx.doi.org/10.1115/1.3257071.

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This paper is concerned with the formulation and simplifications of the general fluid structure interaction analysis for an advancing oscillating vessel in waves to provide alternative 3D hydrodynamic models to determine first and second-order wave-induced fluid loadings, and, hence, the prediction of low-frequency wave damping coefficients. Heuristic arguments which lead to the Added Resistance Gradient (ARG) method of calculating low-frequency damping coefficients together with two 3D-based calculation procedures are presented. Predictions of added resistance and motion responses are compared with other published data. The intermediate hydrodynamic coefficient predictions based on 2D and 3D hydrodynamic models are compared. Low-frequency damping coefficient predictions based on the two proposed 3D calculation procedures are compared with experimental measurements and earlier published generalized strip theory values. Assessment of the applicability of the procedures, the result of their application, and further possible generalizations of the methods are discussed.

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Rommelfanger, Christian, Louis Fischer, Jérôme Frisch, and Christoph Van Treeck. "Linearization of Thermal Equivalent Temperature Calculation for Fast Thermal Comfort Prediction." Energies 14, no. 18 (September 17, 2021): 5922. http://dx.doi.org/10.3390/en14185922.

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Virtual simulations and calculations are a key technology for future development methods. A variety of tools and methods for calculating thermal comfort have not gained sufficient acceptance in practice due to their inherent complexity. This article investigates alternative means of determining thermal comfort, namely, the linearization of the equivalent temperature calculation. This enables a wide range of users to evaluate thermal comfort in a fast and easy manner, for example, for energy efficiency simulation. A flow and thermal model were created according to the requirements of DIN EN ISO 14505 to determine heat transfer coefficients under calibration conditions. The model to simulate the equivalent temperature in calibration conditions comprises a geometrically realistic 3D model of a human test person according to the standard. The influence of the turbulence model, as well as the influence of the equivalent temperature on the heat transfer coefficient in calibration conditions, was investigated. It was found that the dependence of the equivalent temperature is mandatory. The dependence between the heat transfer and the equivalent temperature was taken into account with a continuous linearization approach. An equation-based implementation methodology is proposed, enabling a quick implementation of comfort evaluation in future simulation models. Two test cases show the capabilities of the new model and its application in future work.

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AMANO, Kunsou, and Yoshiaki MIZUTA. "Prediction calculation of climate in road tunnel." Doboku Gakkai Ronbunshu, no. 387 (1987): 219–28. http://dx.doi.org/10.2208/jscej.1987.387_219.

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Sedlbauer, Klaus. "Prediction of Mould Growth by Hygrothermal Calculation." Journal of Thermal Envelope and Building Science 25, no. 4 (April 2002): 321–36. http://dx.doi.org/10.1177/0075424202025004093.

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OMORI, Toshiaki, Shinsuke KATO, Minsik KIM, and Shigehiro NUKATSUKA. "MONTE CARLO CALCULATION FOR RADIATION DOSE PREDICTION." Journal of Environmental Engineering (Transactions of AIJ) 81, no. 727 (2016): 835–43. http://dx.doi.org/10.3130/aije.81.835.

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Aleksandr, Dykha, and Marchenko Dmitry. "Prediction the wear of sliding bearings." International Journal of Engineering & Technology 7, no. 2.23 (April 20, 2018): 4. http://dx.doi.org/10.14419/ijet.v7i2.23.11872.

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The problem of developing a calculation-experimental method for calculating wear of a sliding bearing based on a two-factor wear model (contact pressure - sliding velocity) with identification of wear resistance parameters was considered. On the basis of the proposed wear model, the wear-contact problem for a cylindrical sliding bearing was solved. The equation of equilibrium for medium pressures and the approximating function of linear wear from the arc of contact between the shaft and the bushing were used as the determining equations. To identify parameters of wear resistance in the wear model, a calculation-experimental method for determining calculated dependences of wear resistance parameters was developed on the basis of the wear test by the «cone – three balls» scheme. The results of wear tests of bronze conical specimens with a variable wear spot and two values of sliding velocity were taken as a base. The obtained results were recommended for predicting wear of sliding bearings at the design stage and optimizing their design and operational parameters.

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Zhang, Yan, Li Zhang, Xiu Ping Yao, Zhi Cheng Deng, and Yong Wang. "Calculation for Thermal Parameters of Steam in the Flow Passages of 1000MW Turbine under Variable Operating Conditions." Advanced Materials Research 354-355 (October 2011): 835–41. http://dx.doi.org/10.4028/www.scientific.net/amr.354-355.835.

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Aiming at a high-power turbine of a certain 1000MW electric-generating unit, three calculation schemes were programmed to calculate the thermal parameters of steam in the flow passages. The comparison and analysis between the calculating results and the design values under the turbine rated load (TRL) verified the feasibilities of the calculation schemes. The thermal parameters of steam in flow passages under variable operating conditions were also obtained by the calculation. The calculating results could be the basic data needed by thermal stress analysis and life prediction of the turbine.

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Boyarkin, D. A., D. S. Krupenev, and D. V. Iakubobsky. "Prediction of the power shortage in the electric power system by means of regression analysis by machine learning methods." E3S Web of Conferences 114 (2019): 03003. http://dx.doi.org/10.1051/e3sconf/201911403003.

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Modern electricity consumers place increasingly high demands on the level of reliability of power supply and, correspondingly, the reliability of electric power systems (EPS). These requirements should be directly addressed in the EPS development planning tasks. To this end, the evaluation of the level of EPS reliability is performed by employing software and computer systems that have various methods of reliability evaluation implemented therein. Among the variety of methods for identifying reliability indicators to evaluate resource adequacy the most appropriate one is the Monte Carlo method (the method of statistical tests): it enables to perform calculations within a reasonable time with the required accuracy, while the calculation of complex EPS-like systems by means of analytical methods proves impossible because of the large dimensionality of the problem. However, even when using the Monte Carlo method, the difficulties arise as well, namely the problem of the need to reproduce a large number of random states of the simulated EPS and the calculation of the operating mode of each of them. There are several ways to reduce the overall calculation time by either efficient random number generators and optimizers or alternative methods of the calculation of operating modes. The article deals with the issue of bringing up to date the method behind reliability calculation that makes use of the Monte Carlo method. We propose to use regression analysis methods when calculating operating modes of random states of the EPS. To this end, we adopt the support-vector machine and the random forest method. Experimental studies covered in the article attest to the efficiency of the new method, for the 24-node system IEEE RTS-96 the calculation speed has been increased by almost a factor of 4 while maintaining accuracy.

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Liu, Da Wei, Pei Lin Huang, and Jin Zu Ji. "The Prediction and Analysis of Helicopter Rotor Rotation Noise in Hover." Applied Mechanics and Materials 397-400 (September 2013): 291–94. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.291.

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A prediction program for analysis of helicopter rotor rotation noise was developed based on Farassat1A formulation. The acoustic prediction program was validated by the comparison with the WOPWOP program results in the literature.The loads input for the acoustic calculation are obtained from CFD calculation. The directional characteristic analysis was conducted by this program. Some calculations were conducted for evaluating the influence of rotor parameters including rotor speed , blade pitch ,and blade dihedral for the helicopter rotor rotation noise in hover. The results show that some proper changes of rotor parameters can bring benefit in thickness and loading noise of helicopter rotor. Several conductive conclusions were summarized for the helicopter rotor noise reduction.

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Yuan, Guo Ming, Jian Wang, Hong Xiao, and Ming Lei Li. "Research on Online Model of Vertical Rolling Force in Hot Strip Roughing Trains." Advanced Materials Research 145 (October 2010): 198–203. http://dx.doi.org/10.4028/www.scientific.net/amr.145.198.

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For low prediction precision of online model for vertical rolling force in roughing trains of hot strip mill, the process of hot strip roughing trains was simulated by the FEM simulation software DEFORM. The cause of low prediction precision of rolling force during vertical rolling was analyzed. Then the new method for calculating deformation degree when edge rolling was presented by analysis of the FEM simulated results. The formula of external stress status modulus, which is fit for the vertical rolling force calculation, was obtained by analytic regression. Furthermore, a new formula about rolling force calculation was gained. It was approved that the prediction precision was obviously enhanced compared with the practical data for vertical rolling force.

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Wei, Yao, Yanjun Wei, Yening Sun, Hanhong Qi, and Mengyuan Li. "An Advanced Angular Velocity Error Prediction Horizon Self-Tuning Nonlinear Model Predictive Speed Control Strategy for PMSM System." Electronics 10, no. 9 (May 10, 2021): 1123. http://dx.doi.org/10.3390/electronics10091123.

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In nonlinear model predictive control (NMPC), higher accuracy can be obtained with a shorter prediction horizon in steady-state, better dynamics can be obtained with a longer prediction horizon in a transient state, and calculation burden is proportional to the prediction horizon which is usually pre-selected as a constant according to dynamics of the system with NMPC. The minimum calculation and prediction accuracy are hard to ensure for all operating states. This can be improved by an online changing prediction horizon. A nonlinear model predictive speed control (NMPSC) with advanced angular velocity error (AAVE) prediction horizon self-tuning method has been proposed in which the prediction horizon is improved as a discrete-time integer variable and can be adjusted during each sampling period. A permanent magnet synchronous motor (PMSM) rotor position control system with the proposed strategy is accomplished. Tracking performances including rotor position Integral of Time-weighted Absolute value of the Error (ITAE), the maximal delay time, and static error are improved about 15.033%, 23.077%, and 10.294% respectively comparing with the conventional NMPSC strategy with a certain prediction horizon. Better disturbance resisting performance, lower weighting factor sensitivities, and higher servo stiffness are achieved. Simulation and experimental results are given to demonstrate the effectiveness and correctness.

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Singh, Avinash. "Development and Validation of an S-N Based Two Phase Bending Fatigue Life Prediction Model." Journal of Mechanical Design 125, no. 3 (September 1, 2003): 540–44. http://dx.doi.org/10.1115/1.1564572.

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The stress-life S-N method along with the Palmgren-Miner cumulative damage theory is the simplest and the most commonly used fatigue life prediction technique. Its main advantage is that the material properties needed are easy to collect and life calculation is simple. However under many variable amplitude loading conditions, life predictions have been found to be unreliable. Various modifications have been proposed to the Palmgren-Miner theory, but they have not lead to more reliable life predictions. In this paper, a two-stage cumulative damage model will be developed and validated. This model divides fatigue life into two phases—a crack initiation phase and a crack propagation phase. It will be shown that the proposed method results in greatly improved life prediction capabilities. Also, the proposed method retains the simplicity of the S-N based approach in that the material data is still relatively simple to generate and the calculations are straightforward.

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Shchepak, Andrii, Volodimir Parkhomenko, and Vyacheslav Parkhomenko. "DEVELOPING SOLUTION FOR USING ARTIFICIAL INTELLIGENCE TO OBTAIN MORE ACCURATE RESULTS OF THE BASIC PARAMETERS OF RADIO SIGNAL PROPAGATION." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 11, no. 1 (March 31, 2021): 36–39. http://dx.doi.org/10.35784/iapgos.2577.

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The article considers the methods of calculating radio signal power. The main factors influencing the distribution and their connection with the error in the calculations of the indicators' peak values are analyzed. The regularities of signal propagation and the correlation between the distance from the radio signal source and the ratio of noise to useful information are determined. These patterns allow us to develop a model of artificial intelligence, which improves the prediction of results compared to existing calculation methods. The obtained results present the efficiency of the offered method.

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Gibran, Calvin Mikhailouzna, Sulis Setiyawati, and Febri Liantoni. "Prediksi Penambahan Kasus Covid-19 di Indonesia Melalui Pendekatan Time Series Menggunakan Metode Exponential Smoothing." Jurnal Informatika Universitas Pamulang 6, no. 1 (March 31, 2021): 112. http://dx.doi.org/10.32493/informatika.v6i1.9442.

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The Covid-19 pandemic in Indonesia has emerged starting in 2020. To know the development of cases, a good calculation is needed. A prediction system can help in analyzing accurate data on positive causes, cures, and deaths. The right prediction or forecast can be the answer to the question of the impact that will occur, forecasting will provide an overview to the government and the community so that it is hoped that related parties can prepare for future impacts or even reduce the number of cases growth. In this study, the Exponential Smoothing method was used as a prediction calculation. This method is simple but effective in producing accurate predictions. Forecasting data used comes from the Indonesian government with the assumption that the data is valid and reliable. Based on research that has been carried out to predict the increase in new cases of the Indonesian National Covid-19, the best alpha (α) value is 0.33 with an SSE of 1048027,939. This shows that the number of cases is increasing. The results of forecasting in this study using the time series approach and the SES method are more suitable for predicting the percentage increase in cases than knowing the exact number.

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Haj Ahmad, Hanan. "Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications." Journal of Mathematics 2021 (July 15, 2021): 1–11. http://dx.doi.org/10.1155/2021/1355990.

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This paper describes two prediction methods for predicting the non-observed (censored) units under progressive Type-II censored samples. The lifetimes under consideration are following a new two-parameter Pareto distribution. Furthermore, point and interval estimation of the unknown parameters of the new Pareto model is obtained. Maximum likelihood and Bayesian estimation methods are considered for that purpose. Since Bayes estimators cannot be expressed explicitly, Gibbs and the Markov Chain Monte Carlo techniques are utilized for Bayesian calculation. We use the posterior predictive density of the non-observed units to construct predictive intervals. A simulation study is performed to evaluate the performance of the estimators via mean square errors and biases and to obtain the best prediction method for the censored observation under progressive Type-II censoring scheme for different sample sizes and different censoring schemes.

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Askadskii, Andrey, Egor Afans’ev, Tatyana Matseevich, Marina Popova, Valerii Kondrashchenko, and Shi Cheng Qi. "A Method for Prediction of Water Permeability through Polymers." Advanced Materials Research 1033-1034 (October 2014): 939–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1033-1034.939.

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A calculation method for prediction of water permeability through polymers is suggested. An appropriate equation for calculating the activation free energy of permeability is proposed. The method is based on a set of atomic constants associated with the polymer-water interaction energy. The chemical structure of polymers as well as the degree of crystallininty, temperature, and free volume are taken into account. The method is also applicable for polymeric nanocomposites.

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Fedali, Saida, and Hakim Madani. "Azeotropic points with relative volatility-prediction and calculation." Mathematical Modelling of Engineering Problems 4, no. 1 (March 30, 2017): 38–42. http://dx.doi.org/10.18280/mmep.040108.

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SASAKI, Yoshinori, Toshifumi WADA, Masato MORITANI, Yasuo MIZUMURA, Keiichiro YAMAMOTO, Akihiko TSUCHIDA, and Tatsuya AOKI. "Recurrence Prediction Calculation of Acute Appendicitis Treated Conservatively." Nihon Gekakei Rengo Gakkaishi (Journal of Japanese College of Surgeons) 31, no. 4 (2006): 666–70. http://dx.doi.org/10.4030/jjcs1979.31.4_666.

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Zhang, Shirui, Changjun Shen, Wengang Zheng, and Zhen Xing. "Calculation and Prediction Method of Crop Evapotranspiration ETc." Sensor Letters 12, no. 3 (March 1, 2014): 912–16. http://dx.doi.org/10.1166/sl.2014.3108.

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Sang, Ling-zhi, Xin-ping Yan, Alan Wall, Jin Wang, and Zhe Mao. "CPA Calculation Method based on AIS Position Prediction." Journal of Navigation 69, no. 6 (April 19, 2016): 1409–26. http://dx.doi.org/10.1017/s0373463316000229.

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The information on the Closest Point of Approach (CPA) of another vessel to own ship is required in a potential collision situation as it helps determines the risk to each vessel. CPA is usually calculated based on the speed and direction of the approaching ship neglecting the Change Of Speed (COS) and the Rate Of Turn (ROT). This will make the CPA less useful. To improve the CPA calculation, Automatic Identification System (AIS) information containing the Speed Over Ground (SOG), Course Over Ground (COG), COS and ROT is used. Firstly, a model using these four factors is built to predict ship positions better. Secondly, a three-step CPA searching method is developed. The developed CPA calculation method can assist in informing the navigation decisions and reducing unnecessary manoeuvres. Through the analysis of a real collision scenario, this paper shows that the proposed method can help identify and warn of anomalous ship behaviours in a realistic time frame.

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Ogumi, Keisuke, and Yutaka Matsuo. "Prediction of magnesium tetraethynylporphyrin’s solubility by theoretical calculation." Journal of Porphyrins and Phthalocyanines 23, no. 10 (October 2019): 1144–48. http://dx.doi.org/10.1142/s1088424619501475.

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To investigate the solubility of porphyrin derivatives, their intermolecular interaction energies were calculated by the counterpoise method at the B97D3/6-31G(d) level. It was found that the calculated intermolecular interaction energies corresponded to the solubility measured by UV-vis spectroscopy. This correlation was consistent with differences in substituents and in the metals in the porphyrin core.

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Liu, Yanting, Ding Cheng, Yirui Wang, Jiujun Cheng, and Shangce Gao. "A Novel Method for Predicting Vehicle State in Internet of Vehicles." Mobile Information Systems 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/9728328.

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In the fields of advanced driver assistance systems (ADAS) and Internet of Vehicles (IoV), predicting the vehicle state is essential, including the ego vehicle’s position, velocity, and acceleration. In ADAS, an early position prediction helps to avoid traffic accidents. In IoV, the vehicle state prediction is essential for the required calculation of the expected reliable communication time between two vehicles. Many approaches have emerged to perform this vehicle state prediction. However, such approaches consider limited information of the ego vehicle and its surroundings, and they may not be very effective in practice because the real situation is highly complex and complicated. Moreover, some of the approaches often lead to a delayed prediction time due to collecting and calculating the substantial history information. By assuming that the driver is a robot driver, which eliminates distinct driving behaviors of different persons when facing the same situation, this paper creates a decision tree as a new quick and reliable method adapted to all road segments, and it proposes a new method to perform the vehicle state prediction based on this decision tree.

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Howard, M. A., and S. J. Gallimore. "Viscous Throughflow Modeling for Multistage Compressor Design." Journal of Turbomachinery 115, no. 2 (April 1, 1993): 296–304. http://dx.doi.org/10.1115/1.2929235.

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An existing throughflow method for axial compressors, which accounts for the effects of spanwise mixing using a turbulent diffusion model, has been extended to include the viscous shear force on the endwall. The use of a shear force, consistent with a no-slip condition, on the annulus walls in the throughflow calculations allows realistic predictions of the velocity and flow angle profiles near the endwalls. The annulus wall boundary layers are therefore incorporated directly into the throughflow prediction. This eliminates the need for empirical blockage factors or independent annulus boundary layer calculations. The axisymmetric prediction can be further refined by specifying realistic spanwise variations of loss coefficient and deviation to model the three-dimensional endwall effects. The resulting throughflow calculation gives realistic predictions of flow properties across the whole span of a compressor. This is confirmed by comparison with measured data from both low and high-speed multistage machines. The viscous throughflow method has been incorporated into an axial compressor design system. The method predicts the meridional velocity defects in the endwall region and consequently blading can be designed that allows for the increased incidence, and low dynamic head, near the annulus walls.

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Zhang, Ding-bang, Xin Li, Yi Zhang, and Hang Zhang. "Prediction Method of Asphalt Pavement Performance and Corrosion Based on Grey System Theory." International Journal of Corrosion 2019 (January 1, 2019): 1–9. http://dx.doi.org/10.1155/2019/2534794.

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The Grey system theory is a new mathematical method to predict data changes in the poor data integrity. As a branch of Grey system theory, the GM (1, 1) model is widely used because only small sample data and simple calculations are needed in prediction of engineering project. It is a critical problem to effectively predict the performance and corrosion of asphalt pavement of highway construction due to the inadequacy of highway performance monitoring data. The smoothness, rut, and pavement skid resistance are three important indexes to evaluate the performance and corrosion of asphalt pavement. This paper has established the prediction model and derived prediction equation of asphalt pavement performance according to the GM (1, 1) model method and then listed the calculation equation of residual and the gray absolute correlation degree. Based on the experience of constructed Dalian-Guangzhou expressway in China, the vectors “a” and “b” in the prediction equation of smoothness, rut, and pavement skid resistance have been calculated by using the original monitoring data. The field monitoring data are compared with the predictive data for residual and the gray absolute correlation. The results reveal that the predicted data of the smoothness, rut, and skid resistance are mostly consistent with the monitoring data, the biggest residual of the above three indexes is smaller than 8.09%, and the gray absolute correlation degrees all exceed 0.9, which means the accuracy of the predicted equation is excellent. The calculation method based on GM (1, 1) model can effectively predict the changing performance index of asphalt pavement.

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Song, Fang Xi, Lian Hong Zhang, Zhi Liang Wu, and Le Ping Wang. "On Resistance Calculation for Autonomous Underwater Vehicles." Advanced Materials Research 189-193 (February 2011): 1745–48. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.1745.

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Investigation on the turbulence model for resistance calculation for autonomous underwater vehicles (AUV) with the typical Myring shape is presented in this paper using computational fluid dynamics (CFD) method. Resistance calculations of the 3D viscous flow over an AUV model are made by solving RANS equations with different viscous models. Comparison with experiments indicates that the SST k-ω two-equation viscous model is the most appropriate model for the resistance prediction.

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Vepa, T. S., K. P. George, and A. Raja Shekharan. "Prediction of Pavement Remaining Life." Transportation Research Record: Journal of the Transportation Research Board 1524, no. 1 (January 1996): 137–44. http://dx.doi.org/10.1177/0361198196152400116.

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The evaluation of remaining life is necessary to make optimal use of the structural capacity of in-service pavements. It simply represents the useful life left in the pavement until a failure condition is reached. Knowledge of remaining life facilitates decision making in regard to strategies for reconstruction-rehabilitation of roads, thereby leading to the efficient use of existing resources. Several methods proposed or used by various agencies to estimate the remaining lives of pavements are reviewed. They are classified under two categories: functional and structural. Making use of the Mississippi Department of Transportation pavement management system data base, survivor curves are developed for seven classes of flexible pavements with from thin to thick structures. By using these survivor curves a novel method for estimating remaining life is proposed. The reasonableness of the selected methods is examined by putting them to use in calculating the remaining lives of each of eight rigid and flexible pavement sections, all of them from the Mississippi global positioning system sections of the Strategic Highway Research Program–Long-Term Pavement Performance project (LTPP). With the structural details, falling weight deflectometer deflection data, and the distress information compiled from the LTTP information management system data base, the authors use two and four methods for rigid and flexible pavements, respectively, to determine the remaining lives. The remaining lives calculated by two methods for rigid pavements are comparable. Three of four methods for flexible pavements also generated comparable remaining lives. The authors were encouraged by the results and recommend that the survivor curve approach be explored further for network-level remaining life calculations. The reliabilities of various techniques currently available for the remaining life calculation are discussed.

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Springis, G., J. Rudzitis, A. Avisane, and A. Leitans. "Wear Calculation for Sliding Friction Pairs." Latvian Journal of Physics and Technical Sciences 51, no. 2 (April 1, 2014): 41–54. http://dx.doi.org/10.2478/lpts-2014-0012.

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Abstract One of the principal objectives of modern production process is the improvement of quality level; this means also guaranteeing the required service life of different products and increase in their wear resistance. To perform this task, prediction of service life of fitted components is of crucial value, since with the development of production technologies and measuring devices it is possible to determine with ever increasing precision the data to be used also in analytical calculations. Having studied the prediction theories of wear process that have been developed in the course of time and can be classified into definite groups one can state that each of them has shortcomings that might strongly impair the results thus making unnecessary theoretical calculations. The proposed model for wear calculation is based on the application of theories from several branches of science to the description of 3D surface micro-topography, assessing the material’s physical and mechanical characteristics, substantiating the regularities in creation of the material particles separated during the wear process and taking into consideration definite service conditions of fittings.

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Bai, Yanyang, and Xuesheng Zhang. "Prediction Model of Football World Cup Championship Based on Machine Learning and Mobile Algorithm." Mobile Information Systems 2021 (September 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/1875060.

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With the technological development and change of the times in the current era, with the rapid development of science and technology and information technology, there is a gradual replacement in the traditional way of cognition. Effective data analysis is of great help to all societies, thereby drive the development of better interests. How to expand the development of the overall information resources in the process of utilization, establish a mathematical analysis–oriented evidence theory system model, improve the effective utilization of the machine, and achieve the goal of comprehensively predicting the target behavior? The main goal of this article is to use machine learning technology; this article defines the main prediction model by python programming language, analyzes and forecasts the data of previous World Cup, and establishes the analysis and prediction model of football field by K-mean and DPC clustering algorithm. Python programming is used to implement the algorithm. The data of the previous World Cup football matches are selected, and the built model is used for the predictive analysis on the Python platform; the calculation method based on the DPC-K-means algorithm is used to determine the accuracy and probability of the variables through the calculation results, which develops results in specific competitions. Research shows how the machine wins and learns the efficiency of the production process, and the machine learning process, the reliability, and accuracy of the prediction results are improved by more than 55%, which proves that mobile algorithm technology has a high level of predictive analysis on the World Cup football stadium.

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Schuman, Christophe, L. Bao, J. S. Lecomte, M. J. Philippe, Y. Zhang, X. Zhao, Liang Zuo, J. M. Raulot, and C. Esling. "New Model for Twin-Variant Selection in Hexagonal Alloys." Materials Science Forum 702-703 (December 2011): 229–32. http://dx.doi.org/10.4028/www.scientific.net/msf.702-703.229.

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A new selection criterion to explain the activation of the twinning variant is proposed. This criterion is based on the calculation of the deformation energy to create a primary twin. The calculation takes into account the effect of the grain size using a Hall-Petch type relation. This criterion allows to obtain a very good prediction for the variant selection. The calculations are compared with the experimental results obtained on T40 (ASTM grade 2) deformed by Channel Die compression.

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Cai, Gao Tang, and Su Juan Hu. "LS-SVM-Markov Model for Tunnel Deformation Prediction." Applied Mechanics and Materials 580-583 (July 2014): 1264–67. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.1264.

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In order to effectively predict aspects of tunnel deformation, taking effective and timely measures against the problem to ensure the safety of tunnel ,LS-SVM-MC model is proposed . Namely, Markov chain based on LS-SVM corrects the error, and ultimately improves the accuracy of prediction. By the analysis and calculation of deformation prediction of a tunnel , you can find that the method is more in line with the actual situation, showing predictive superiority and a high prediction accuracy.so the method can serve as a new ways of tunnel deformation prediction,some promotional value can be gained in later work.

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Jenkin, Robin. "Fast Prediction of Contrast Detection Probability." Electronic Imaging 2020, no. 16 (January 26, 2020): 40–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.16.avm-040.

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Contrast detection probability (CDP) is proposed as an IEEE P2020 metric to predict camera performance intended for computer vision tasks for autonomous vehicles. Its calculation involves comparing combinations of pixel values between imaged patches. Computation of CDP for all meaningful combinations of m patches involves approximately 3/2(m2-m).n4 operations, where n is the length of one side of the patch in pixels. This work presents a method to estimate Weber contrast based CDP based on individual patch statistics and thus reduces to computation to approximately 4n2m calculations. For 180 patches of 10×10 pixels this is a reduction of approximately 6500 times and for 180 25×25 pixel patches, approximately 41000. The absolute error in the estimated CDP is less than 0.04 or 5% where the noise is well described by Gaussian statistics. Results are compared for simulated patches between the full calculation and the fast estimate. Basing the estimate of CDP on individual patch statistics, rather than by a pixel-to-pixel comparison facilitates the prediction of CDP values from a physical model of exposure and camera conditions. This allows Weber CDP behavior to be investigated for a wide variety of conditions and leads to the discovery that, for the case where contrast is increased by decreasing the tone value of one patch and therefore increasing noise as contrast increases, there exists a maxima which yields identical Weber CDP values for patches of different nominal contrast. This means Weber CDP is predicting the same detection performance for patches of different contrast.

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Sun, Jianping, Hantao Cao, Biao Geng, Zhaoping Tang, and Xiaopeng Li. "Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning." Journal of Advanced Transportation 2021 (April 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/6666631.

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The demand prediction of emergency resources is helpful for rational allocation and optimization of emergency resources for railway rescue when emergency incident occurs. In this paper, a case base containing China railway traffic accident that has occurred since 1978 is established, and the case-based reasoning (CBR) method is applied in railway emergency resource demand predicting research. The core case attributes of railway emergencies are described. In view of the attribute types of railway emergency cases, five types of attributes, including enumeration, numerical, interval, character and fuzzy type, are considered, and the local similarity calculation models of different attributes are given. In order to avoid the problem of missing attribute in the traditional nearest neighbor algorithm, a global case similarity calculation method based on structural similarity and attribute similarity is designed. The empirical results show that case 3 is the most similar to the target case, and the calculating quantities of the proposed model are closer to the actual usage quantity and more accurate in the demand prediction of railway emergency resources, compared with the traditional empirical method. The relative errors of demand forecasts for the 9 resources have been, respectively, reduced by 15.9884%, 15.1471%, 6.4286%, 17.1429%, 66.6667%, 38.8889%, 27.5%, 0%, and 17.7778%. Therefore, the proposed model is both reasonable and applicable. The research results are of great significance to effectively deal with railway emergencies.

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Jiang, Yan Zuo, He Zhi Liu, and Jing Yang Liu. "LS-SVM-Markov Model for Dam Deformation Prediction." Applied Mechanics and Materials 423-426 (September 2013): 1144–49. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.1144.

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In order to effectively predict aspects of dam deformation, taking effective and timely measures against the problem to ensure the safety of the dam .As a result, LS-SVM-Mc model is proposed . Namely, Markov chain based on LS-SVM prediction corrects the error, and ultimately improves the prediction accuracy. By the analysis and calculation of deformation prediction of an arch dam, you can find that the method is more in line with the actual situation, showing predictive superiority and a high prediction accuracy.so the method can serve as a new ways of dam deformation prediction,some promotional value can be gained in later work.

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Feng, Tianli, and Xiulin Ruan. "Prediction of Spectral Phonon Mean Free Path and Thermal Conductivity with Applications to Thermoelectrics and Thermal Management: A Review." Journal of Nanomaterials 2014 (2014): 1–25. http://dx.doi.org/10.1155/2014/206370.

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We give a review of the theoretical approaches for predicting spectral phonon mean free path and thermal conductivity of solids. The methods can be summarized into two categories: anharmonic lattice dynamics calculation and molecular dynamics simulation. In the anharmonic lattice dynamics calculation, the anharmonic force constants are used first to calculate the phonon scattering rates, and then the Boltzmann transport equations are solved using either standard single mode relaxation time approximation or the Iterative Scheme method for the thermal conductivity. The MD method involves the time domain or frequency domain normal mode analysis. We present the theoretical frameworks of the methods for the prediction of phonon dispersion, spectral phonon relaxation time, and thermal conductivity of pure bulk materials, layer and tube structures, nanowires, defective materials, and superlattices. Several examples of their applications in thermal management and thermoelectric materials are given. The strength and limitations of these methods are compared in several different aspects. For more efficient and accurate predictions, the improvements of those methods are still needed.

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Langeron, Olivier, Philippe Cuvillon, Cristina Ibanez-Esteve, François Lenfant, Bruno Riou, and Yannick Le Manach. "Prediction of Difficult Tracheal Intubation." Anesthesiology 117, no. 6 (December 1, 2012): 1223–33. http://dx.doi.org/10.1097/aln.0b013e31827537cb.

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Background It has been suggested that predicting difficult tracheal intubation is useless because of the poor predictive capacity of individual signs and scores. The authors tested the hypothesis that an accurate prediction of difficult tracheal intubation using simple clinical signs is possible using a computer-assist model. Methods In a cohort of 1,655 patients, the authors analyzed the predictive properties of each of the main signs (Mallampati score, mouth opening, thyromental distance, and body mass index) to predict difficult tracheal intubation. They built the best score possible using a simple logistic model (SCOREClinic) and compared it with the more recently described score in the literature (SCORENaguib). Then they used a boosted tree analysis to build the best score possible using computer-assisted calculation (SCOREComputer). Results Difficult tracheal intubation occurred in 101 patients (6.1%). The predictive properties of each sign remain low (maximum area under the receiver operating characteristic curve 0.70). Using receiver operating characteristic curve, the global prediction of the SCOREClinic (0.74, 95% CI: 0.72-0.76) was greater than that of the SCORENaguib (0.66, 95% CI: 0.60-0.72, P<0.001) but significantly lower than that of the SCOREComputer (0.86, 95% CI: 0.84-0.91, P<0.001). The proportion of patients in the inconclusive zone was 71% using SCORENaguib, 56% using SCOREClinic, and only 32 % using SCOREComputer (all P<0.001). Conclusion Computer-assisted models using complex interaction between variables enable an accurate prediction of difficult tracheal intubation with a low proportion of patients in the inconclusive zone. An external validation of the model is now required.

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Suleman, Humbul, Abdulhalim Shah Maulud, and Zakaria Man. "Comparative Study of Linear Co-Volume Based Mixing Rules for Equation of State/ Excess Gibbs Energy (EOS/G^E) Models for CO₂ – MEA and CO₂ – MDEA Systems." Applied Mechanics and Materials 625 (September 2014): 541–44. http://dx.doi.org/10.4028/www.scientific.net/amm.625.541.

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With the advent of Equation of State/ Excess Gibbs Energy (EOS/GE) models, the linear co-volume based mixing rules have gained vast importance for predicting multi-component VLE for polar mixtures. Owing to their inherent ease of calculation and good prediction abilities, these mixing rules have been applied in extension, to a variety of systems especially for CO2-H2O-alkanolamine systems. However, no comparative study is available to select appropriate mixing rule for prediction of thermodynamic properties. In this study, pressure prediction of various linear co-volume mixing rules has been compared for CO2– MEA and CO2– MDEA systems, while effects of activity coefficients and process parameters have been kept constant. The infinite pressure mixing rules have heavily under – predicted and approximate zero reference pressure mixing rules have over – predicted, but latter are valid for low and medium pressure ranges. The linear combination of Vidal and Michelsen (LCVM) mixing rule have good predictions at high pressures.

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Wang, William Yi, Bi Cheng Zhou, Jia Jia Han, Hua Zhi Fang, Shun Li Shang, Yi Wang, Xi Dong Hui, and Zi Kui Liu. "Prediction of Diffusion Coefficients in Liquid and Solids." Defect and Diffusion Forum 364 (June 2015): 182–91. http://dx.doi.org/10.4028/www.scientific.net/ddf.364.182.

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Our activities in predicting diffusion coefficients in fcc, bcc, and hcp solid solutions using first-principles calculations and in liquid usingabinitiomolecular dynamics are reviewed. These include self-diffusion coefficients [1-4], tracer diffusion coefficients in dilute solutions [5-7], calculation of migration entropy [8], tracer diffusion coefficients in metallic and oxide liquid [9, 10], and effects of vacancy on diffusion of oxygen [11, 12]. The effects of exchange correlation functionals are examined in some cases along with charge transfer between solute and solvent elements. The dominant contribution of diffusion on the effects of Re addition on the creep properties of Ni-base superalloys is discussed [13].

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Mancisidor, Iker, Mikel Zatarain, Jokin Munoa, and Zoltan Dombovari. "Fixed Boundaries Receptance Coupling Substructure Analysis for Tool Point Dynamics Prediction." Advanced Materials Research 223 (April 2011): 622–31. http://dx.doi.org/10.4028/www.scientific.net/amr.223.622.

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In many applications, chatter free machining is limited by the flexibility of the tool. Estimation of that capacity requires to obtain the dynamic transfer function at the tool tip. Experimental calculation of that Frequency Response Function (FRF) is a time consuming process, because it must be done using an impact test for any combination of tool, toolholder and machine. The bibliography proposes the Receptance Coupling Substructure Analysis (RCSA) to reduce the number of experimental test. A new approach consisting of calculating the fixed boundary dynamic behaviour of the tool is proposed in the paper. This way the number of modes that have to be considered is low, just one or two for each bending plane, and it supposes an important improvement in the application of the RCSA to the calculation of stability diagrams. The predictions of this new method have been verified experimentally.

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Li, Chao, Yun Jiang Liu, Heng Yang Zhang, Xiao Peng Yang, and Feng Wang. "Based on Estimation of the Ionospheric Characteristics HF Frequency Prediction Method." Applied Mechanics and Materials 190-191 (July 2012): 936–39. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.936.

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To grasp Complex characteristics of shortwave (HF) channel is the key and difficulty to research HF communication. On the premise of comprehending the ionosphere prediction method in the Asia Oceania region, HF frequency prediction method recommended by the International Telecommunication Union (ITU) is improved in this paper, and the engineering calculation method of predicting HF frequency in the Asia Oceania region is concluded and summarized. Comparing with the ITS (the Institute for Telecommunication Science) software’s predicting result, the method is improved to some extent in time availability and SNR in the receiving point.

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Zhong, Ge, Hui Tao Wang, and Hua Wang. "Prediction Model of the Direct Solar Vacuum Tube." Applied Mechanics and Materials 444-445 (October 2013): 1093–100. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1093.

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Based on the heat transfer, the prediction model of the direct solar vacuum tube was studied, the concept of local heat loss coefficient was put forward, through the temperature distribution model of metal pipe and fin, the calculation method of average heat loss coefficient was obtained, the calculation accuracy of performance was improved. The results were compared with dates of Abdul Waheed Badar et al, error is less than 7.15%, the calculation accuracy of model meets the requirements. The impact of various factors on the performance of the collector tube was studied.

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Zhou, Jingyu, Shulin Tian, and Chenglin Yang. "A Novel Prediction Method about Single Components of Analog Circuits Based on Complex Field Modeling." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/530942.

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Few researches pay attention to prediction about analog circuits. The few methods lack the correlation with circuit analysis during extracting and calculating features so that FI (fault indicator) calculation often lack rationality, thus affecting prognostic performance. To solve the above problem, this paper proposes a novel prediction method about single components of analog circuits based on complex field modeling. Aiming at the feature that faults of single components hold the largest number in analog circuits, the method starts with circuit structure, analyzes transfer function of circuits, and implements complex field modeling. Then, by an established parameter scanning model related to complex field, it analyzes the relationship between parameter variation and degeneration of single components in the model in order to obtain a more reasonable FI feature set via calculation. According to the obtained FI feature set, it establishes a novel model about degeneration trend of analog circuits’ single components. At last, it uses particle filter (PF) to update parameters for the model and predicts remaining useful performance (RUP) of analog circuits’ single components. Since calculation about the FI feature set is more reasonable, accuracy of prediction is improved to some extent. Finally, the foregoing conclusions are verified by experiments.

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Journal articles on the topic 'Calculation prediction'

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