The finite-size scaling study of four-dimensional Ising model in the presence of external magnetic field

The four-dimensional ferromagnetic Ising model in external magnetic field is simulated on the Creutz cellular automaton algorithm using finite-size lattices with linear dimension 4 ≤ L ≤ 8. The critical temperature value of infinite lattice, Tc χ (∞) = 6.680(1) obtained for h = 0 agrees well with the values Tc(∞) ≈ 6.68 obtained previously using different methods. Moreover, h = 0.00025 in our work also agrees with all the results obtained from h = 0 in the literature. However, there are no works for h ≠ 0 in the literature. The value of the field critical exponent (δ = 3.0136(3)) is in good agreement with δ = 3 which is obtained from scaling law of Widom. In spite of the finitesize scaling relations of |ML(t)| and χ L(t) for 0 ≤ h ≤ 0.001 are verified; however, in the cases of 0.0025 ≤ h ≤ 0.1 they are not verified

Defect-deferred correction method based on a subgrid artificial viscosity model for fluid-fluid interaction

© 2020 IMACSA defect-deferred correction method, increasing both temporal and spatial accuracy, for fluid-fluid interaction problem with nonlinear interface condition is considered by geometric averaging of the previous two-time levels. In the defect step, an artificial viscosity is added only on the fluctuations in the velocity gradient by removing this effect on a coarse mesh. The dissipative influence of the artificial viscosity is further eliminated in the correction step while gaining additional temporal accuracy at the same time. The stability and accuracy analyses of the resulting algorithm are investigated both analytically and numerically

A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model

<span style="font-size: 13px; font-family: Helvetica, Arial, sans-serif;">Ülkemizde; binalarin yangindan korunmasi hakkindaki yönetmelik, 6331 sayili kanun ve ilgili yönetmelikleri araciligiyla, is yerlerinde risk analizi uygulamasi yapma ve gerekli önlemlerin alinmasi zorunlulugu bulunmasina ragmen, isyerlerinde yanginlarin önüne geçilememistir. Risk analizi çalismalarinda, yanginlarin baslangiç yerleri ve baslamasina yol açan nedenlerle ilgili gerekli bilgilerin olmayisi ayrica dogru risk analizi yönteminin seçilememis olmasi, is güvenligi çalismalarinda karsilasilan önemli güçlüklerdir. Bunlarin yani sira risk analizi uygulamasinda hesaplamalarin rastgele yapilmasi ise ya alinacak önlemlerin çok maliyetli olmasina ya da alinacak önlemlerin yetersiz olmasina yol açmaktadir. Bu çalismada; öncelikle is yerlerinde kullanilan elektrik tesisatlari ve elektrikli cihazlardan kaynaklanabilecek yanginlarin baslangiç yerlerinin tespiti için Izmir’de meydana gelen yanginlarin rapor inceleme sonuçlari sunulmustur. Ikinci olarak Antalya’daki bir ilkögretim okulunda gerçeklestirilen elektrik tesisat kontrollerinde elde edilen ve risk analizi yapilmasinda kullanilacak elektrik sistemleriyle ilgili tehlike bilgilerine, son olarak da elde edilen bilgilerle gerçeklestirilen Fine-Kinney risk analizinin sonuçlarina yer verilmistir. </span><span style="font-size: 13px; font-family: Helvetica, Arial, sans-serif;">Despite there are obligation that application the risk analysis and take precaution at work places with 6331 law and related regulations, on protection of buildings from fire at our country, work places fires could have not prevented. In risk analysis studies, it is important difficulties that there is no information about starting places of fires and causes leading to the start of fires, and inability to select the right risk analysis method in occupaitonal safety studies. In addition to this, randomization of calculations in the application of risk analysis leads to either too costly prevention to be taken or insufficient measures to be taken. In this studies, first of all to the results of the report review of the fires that took place in Izmir for the determination of the starting locations of the fires that could be caused by the electrical installations used in the work places and electrical devices are presented. Secondly in our studies given hazard knowledges that obtained with control studies at an elementary school&#39;s electrical installations are presented. Finally, the results of the Fine-Kinney risk analysis carried out with these informations obtained are presented.</span

The Finite-Size Scaling Study of the Specific Heat and the Binder Parameter of the Two-Dimensional Ising Model for the Fractals Obtained by Using the Model of Diffusion-Limited Aggregation

WOS: 000274113600012The two-dimensional Ising model with nearest-neighbour pair interactions is simulated oil the Creutz cellular automaton by using the finite-size lattices with the linear dimensions L = 80, 120, 160, and 200. The temperature variations and the finite-size scaling plots of the specific heat and the Binder parameter verify the theoretically predicted expression near the infinite lattice critical temperature. The approximate values for the critical temperature of the infinite lattice T-c = 2.287(6) T-c = 2.269(3), and T-c =2.271(1) are obtained from the intersection points of specific heat curves. Binder parameter curves, and the straight line fit of specific heat maxima, respectively. These results are in agreement with the theoretical value (T-c =2.269) within the error limits. The values obtained for the critical exponent of the specific heat, alpha = 0.04(25) and alpha = 0.03(l), are in agreement with alpha = 0 predicted by the theory. The values for the Binder parameter by using the finite-size lattices with the linear dimension L = 80, 120, 160, and 200 at T-c = 2.269(3) are calculated as g(L)(T-c) = -1.833(5), g(L)(T-c) = -1.834(3), g(L)(T-c) = -1.832(2), and g(L)(T-c) = -1.833(2), respectively. The value of the infinite lattice for the Binder parameter, g(L)(T-c) = -1.834(11), is obtained from the straight line fit of g(L)(T-c) = -1.833(5), g(L)(T-c) = -1.834(3), g(L)(T-c) = -1.832(2), and g(L)(T-c) = -1.833(2) versus L = 80, 120, 160, and 200, respectively

The finite-size scaling study of four-dimensional Ising model in the presence of external magnetic field

WOS: 000348344600004The four-dimensional ferromagnetic Ising model in external magnetic field is simulated on the Creutz cellular automaton algorithm using finite-size lattices with linear dimension 4 <= L <= 8. The critical temperature value of infinite lattice, T-c(chi) (infinity) = 6; 680(1) obtained for h = 0 agrees well with the values T-c(infinity) approximate to 6.68 obtained previously using different methods. Moreover, h = 0.00025 in our work also agrees with all the results obtained from h = 0 in the literature. However, there are no works for h not equal 0 in the literature. The value of the field critical exponent (delta = 3.0136(3)) is in good agreement with delta = 3 which is obtained from scaling law of Widom. In spite of the finite-size scaling relations of vertical bar M-L(t)vertical bar and chi(L)(t) for 0 <= h <= 0.001 are verified; however, in the cases of 0.0025 <= h <= 0.1 they are not verified. (C) 2014 AIP Publishing LLC

The Simulation of the Two-Dimensional Ising Model on the Creutz Cellular Automaton for the Fractals Obtained by Using the Model of Diffusion-Limited Aggregation

Bayirli, Mehmet/0000-0002-7775-0251WOS: 000284025600012The fractals are obtained by using the model of diffusion limited aggregation (DLA) for the lattice with L = 80 120, and 160 The values of the fractal dimensions are compared with the results of former studies As increasing the linear dimensions they are in good agreement with those The fractals obtained by using the model of DLA rue simulated on the Creutz cellular automaton by using a two bit demon The values computed for the critical temperature and the static critical exponents within the framework of the brute size scaling theory are in agreement with the results of other simulations and theoretical value

Improved Nelder-Mead Optimization Method in Learning Phase of Artificial Neural Networks

Artificial neural networks method is the most important/preferred classification algorithm in machine learning area. The weightson the nets in artificial neural directly affect the classification accuracy of artificial neural networks. Therefore, finding optimum values ofthese weights is a difficult optimization problem. In this study, the Nelder-Mead optimization method has been improved and used fortraining of artificial neural networks. The optimum weights of artificial neural networks are determined in the training stage. Theperformance of the proposed improved Nelder-Mead-Artificial neural networks classification algorithm has been tested on the mostcommon datasets from the UCI machine learning repository. The classification results obtained from the proposed improved Nelder-Mead-Artificial neural networks classification algorithm are compared with the results of the standard Nelder-Mead-Artificial neural networksclassification algorithm. As a result of this comparison, the proposed improved Nelder-Mead-Artificial neural networks classificationalgorithm has given best results in all datasets