62 research outputs found

    A new method for critical path method with fuzzy processing time

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    Critical path method plays an important role on managing medium to large-scale problems. It is often difficult to determine the critical path for different reasons such as the existing uncertainties in processing tasks. One alternative to handle the uncertainty associated with the processing time is to use fuzzy techniques. We present a new method to calculate the critical path method when the processing times follow trapezoidal fuzzy numbers. The proposed model of this paper does not use any defuzzification technique to find the final processing time. The implementation of the proposed model is compared with other techniques using a well-known example from the literature

    Analysis of the B --> \pi \ell^+ \ell^- Decay in the Standard Model with Fourth Generation

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    We investigate the influence of the fourth generation quarks on the branching ratio and the CP-asymmetry in B -->\pi \ell^+ \ell^- decay. Taking the |V_{t'd}V_{t'b}| ~ 0.001 with phase about 10 degree, which is consistent with the sin2\phi_1 of the CKM and the B_d mixing parameter \Delta m_{B_d}, we obtain that for both muon and tau channels the branching ratio, the magnitude of CP-asymmetry and lepton polarization depict strong dependency on the 4th generation quarks mass and mixing parameters. These results can serve as a good tool to search for new physics effects, precisely, to search for the fourth generation quarks(t,b)t', b') via its indirect manifestations in loop diagrams.Comment: 17 pages, 8 figure

    The comparative study of the streptococcinum, Hepar sulfur, Rosmarinus officinalis and erythromycin effects on cultured rainbow trout (Oncorhynchus mykiss) with experimental streptococcusis.

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    The comparative study of the streptococcinum, Hepar sulfur, Rosmarinus officinalis and erythromycin effects on cultured rainbow trout (Oncorhynchus mykiss) with experimental streptococcosis Homeopathy is one of alternative medicines that is very useful for soul and body diseases with accurate prescription. The goal of this study was “survey of the effects of homeopathic remedies. There is not any more research about homeopathy on aquatics in the world especially in Iran, thus Some research about the effects of homeopathy on aquatics is needed. In this study, the effects of streptococcinum, Hepar sulfure, Rosmarinus officinalis(homeopathic remedies) and erythromycin in cultured rainbow trout, with experimental streptococcosis, also the mortality, were compared. There was 6 treatment and 2 reviews in 300 liter tanks that each of treatment contained 40 juvenile rainbow trout with 25±5 gr arrange weight. Treatment 1: contained of erythromycin. Treatment 2: Streptococcinum C30. Treatment 3: Rosmarinus officinalis Q. Treatment 4: Hepar sulfur C30 . Treatment 5:(control treatment )without any injection and any therapy. Treatment 6: (positive control treatment) with injection but without any therapy. Daily estimation of the water temperature, oxygen, pH and salinity and some other chemical factors. Tretment 1 had significance with the other treatments. Survival percent in treatments and their analysis showed that treatment 4(Hep-s) had significance (p<0.05) with treatment 3(Ros-off) and its survival percent is more than the other homeopathic remedies. Erythromycin is chemical drug and has many side effects but Hep-s has not any side effect and is an natural remedy for Streptococcosis in homeopathy. Thus we offer the Hep-s to cure the streptococcosis but some research with disk diffusion test about the different doses of Hep-s is needed. Daily survey of clinical symptoms such as hemorrhages in the external organs, Under eyes, under skin, under fins and gills, hemorrhages and exophthalmos, were the most symptoms. Important pathological symptoms were: necrosis, hyperplasia and melanosis in branches, liver and kidneys, hemorrhages in heart, kidneys and in visceral tissues. According to the survival results, there was significant difference between the treatment 1 and the other treatments (p<0.05). Also there was significant difference between treatment 3, treatment 4 and treatment 2(p<0.05), this difference is due to the high dose(Q) of R.officinalis, while the two other homeopathic remedies were in a moderated dose (C30), 30× 100 diluted dose. Survival percent of treatment 4(Hep-s) was more than the other homeopathic remedies and was related to erythromycin. Erythromycin is chemical medicine and has many side effects, while Hepar sulfur has not any side effects if the prescription would be accurate. Hep-s is suggested with disk diffusion tests for relief the symptoms of streptococcosis

    Data for IJEPES paper

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    this data set includes the data used in paper titled &quot;Tri-level scheduling of integrated electric vehicle parking lots and solar distributed generations in local and wholesale electricity markets&quot; which was submitted for publication in IJEPES.The proper citations of the data sources are included in the paper.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

    Moment-Based Distributionally Robust Peer-to-Peer Transactive Energy Trading Framework between Networked Microgrids, Smart Parking Lots and Electricity Distribution Network

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    peer reviewedThis paper proposes a decentralized scheduling framework for peer-to-peer (P2P) transactive energy trading between prosumers and the local electricity market (LEM). In this approach, prosumers are modeled in the form of networked microgrids (NMG) and smart parking lots (SPL), which can exchange energy in a P2P framework. At the same time, each of the prosumers exchanges information and energy with the LEM in a decentralized approach based on the distribution locational marginal price (DLMP). The LEM is modeled by an active radial electricity distribution network (EDN), considering a high penetration of renewable energy sources (RES) and the feeder power losses in a convex optimization model. In proposed P2P transactive energy model, the alternating direction method of multipliers (ADMM) has been used to achieve the equilibrium point between peers. The distributionally robust optimization (DRO) method has been used to model the uncertain behavior of RES in NMGs, SPLs, and the EDN. In addition, the impact of applying smart charging strategies for electric vehicles (EV) in the proposed P2P transactive energy model has been investigated. To confirm the functionality of the model, 12-bus, 6-bus, and 4-bus networks have been used to model NMGs, while the EDN is embodied by a standard IEEE 33-bus and 123-bus test systems

    Prediction of blast-produced ground vibration using particle swarm optimization

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    Blasting operation is an inseparable operation of the rock fragmentation process in the surface mines and tunneling projects. Ground vibration is one of the most undesirable effects induced by blasting operation which can cause damage to the surrounding residents and structures. So, the ability to make precise predictions of ground vibration is very important to reduce the environmental side effects caused by mine blasting. The aim of this paper is to develop a simple, accurate, and applicable model based on particle swarm optimization (PSO) approach for predicting the ground vibration induced by blasting operations in Shur River dam region, Iran. In this regard, two forms of PSO models, linear and power, were developed. For this work, a database including 80 data sets was collected, and the values of the maximum charge weight used per delay (W), distance between blast-point and monitoring station (D) and peak particle velocity (PPV) were measured. To develop the PSO models, PPV was used as output parameter, while W and D were used as input parameters. To check the performance of the proposed PSO models, multiple linear regression (MLR) model and United States Bureau of Mines (USBM) equation were also developed. Accuracy of models established was evaluated using statistical criteria, i.e., coefficient of correlation (R2) and root mean square error (RMSE), variance absolute relative error (VARE) and Nash & Sutcliffe (NS). Finally, it was found that the PSO power form provided more accurate predictions in comparison with PSO linear form, MLR and USBM models
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