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Mohammad Nejatian,Nematollah Jonaidi-Jafari,Sepideh Abbaszadeh,Hamed Saberian,Nazanin Darabzadeh,Ghader Ghanizadeh 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.2
In this study, the flow behavior and creepparameters of saffron desserts containing gum tragacanthcombinations of three species were modeled by the mixturedesign approach. Flow behavior and creep-recoveryexperiments were performed and models were predictedfor apparent viscosity, consistency index, flow index,instantaneous compliance, and viscoelastic compliance. Five representative samples regarding the range of apparentviscosity at the shear rate of 50 s-1 were subjected tosensory evaluation. According to rheological measurements,the addition of GT species of A. gossypinus led tothe production of a dessert with a strong structure. Then,two samples with the highest consistency index and thelowest creep parameters were compared with two commercialsaffron desserts. The results revealed that theoverall acceptance of the two selected samples [containing4% (w/w) A. gossypinus or 2.66% (w/w) A. gossypinus and1.33% (w/w) A. fluccosus] was similar to those of the twocommercial samples.
Javadian, Abdolmajid,Zadehbagheri, Mahmoud,Kiani, Mohammad Javad,Nejatian, Samad The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.10
Due to the pattern of growth for electricity consumption, there is a need for developing power networks and transmission lines. The power transmission capacity of lines is limited due to a host of factors. Thus, these lines need series and parallel compensations to reduce losses, increase efficiency, and promote system security. In this paper, flexible alternating current transmission system (FACTS) devices including static VAR compensators (SVC) as parallel compensators, thyristor-controlled series compensation (TCSC) as a series compensator, and high-voltage direct current (HVDC) bonding are modeled. In addition, comprehensive modeling of the simultaneous application of these three devices for load flow is performed, and the effects of these types of compensations are compared. The obtained comprehensive model was implemented on MATLAB software using the Newton-Raphson method on two 9-bus WSCC and 5-bus test system. In this case, the calculation speed and convergence were reduced when compared to applying devices individually due to the increase in equations and the addition of new terms to the load flow equations. Furthermore, more losses were observed in this model, which can probably be improved using an optimal power flow and optimal placement of the devices in the network.
Using Hybrid Wavelet Approach and Neural Network Algorithm to Forecast Distribution Feeders
Bagheri Mehdi,Zadehbagheri Mahmoud,Kiani Mohammad Javad,Zamani Iman,Nejatian Samad 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
In this paper, using an algorithm based on the combination of data based on neural network virology and bacterial nutrition algorithm, improves the performance of the neural network prediction method. Also, the selection of two types of downstream and upstream filters in the wavelet transformation increases the predictive efficacy of neurological prediction. Based on the results, the optimized clustered neural network method has a more favorable response than the other methods. By selecting the appropriate filter and multichannel processing method, the maximum error percentage has improved by 15%. However, compared to the neural network prediction method, the proposed method has more computational volume due to the use of wavelet transform and also three times the use of neural prediction. Due to the large number of layers and used neurons, the neural network method has a much higher computational volume than the linear prediction method, where the linear prediction method has a higher error than the proposed method depending on the data used for training.