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To reflect the premise that the renewable energy should be fully utilized, the proposed model presents a BLP framework, in which the leader level pursuits the minimal fuel cost and emission simultaneously, and the follower level seeks for the minimal interval reduction of wind power output.
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In addition, the performance of AODV, DSR, and DSDV routing protocols is also studied through simulations, utilizing the proposed model, and the results obtained are discussed.
The model is validated through a test system and the outcomes demonstrate the advantages, applicability and challenges of utilizing the proposed model.
Then, we utilize the proposed model to simulate the influences of the collision avoidance on the pedestrian movements during the evacuation in a classroom with two exits.
A feasibility study utilizing the proposed model is also conducted and the results indicate that an array of LHPs can effectively transport heat from the motor section of the vehicle to the underbody, reducing significantly the aerodynamic losses.
Utilizing the proposed model, the fuzzy assessment of the decision-maker and the interaction among various evaluation criteria can be a focus of the evaluation of the aggregation performance, thus ensuring more effective and accurate performance evaluation and decision-making.
Moreover, utilizing the proposed models, we systematically investigate the influence of the characteristics of particles and interphase such as the high packing density and geometries of elliptical particles, and interphase fraction, thickness and stiffness on the elastic moduli of particle-reinforced composites.
One or two hidden layers are utilized in the proposed model.
Two major design ideas are utilized by the proposed model: asynchronous execution of synchronization and computation operations and multithreaded graphs with variable resolution.
The proposed model utilizes mixture modeling and nonparametric smoothing methods to capture hypothesized latent subgroup features of the FSH longitudinal trajectory; and simultaneously studies the prognostic value of these latent subgroup features to predict age at FMP.
The proposed model utilizes the concept of true stress true strain nature of constitutive equation in determining the squash load.
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