In this paper, a novel method for electric field intensity and magnetic flux density estimation in the vicinity of the high voltage overhead transmission lines is proposed. The proposed method is based on two fully connected feed-forward neural networks to independently estimate electric field intensity and magnetic flux density. The artificial neural networks are trained using the scaled conjugate gradient algorithm. Training datasets corresponds to different overhead transmission line configurations that are generated using an algorithm that is especially developed for this purpose. The target values for the electric field intensity and magnetic flux density datasets are calculated using the charge simulation method and Biot-Savart law based method, respectively. This data is generated for fixed applied voltage and current intensity values. In instances when the applied voltage and current intensity values differ from those used in the artificial neural network training, the electric field intensity and magnetic flux density results are appropriately scaled. In order to verify the validity of the proposed method, a comparative analysis of the proposed method with the charge simulation method for electric field intensity calculation and Biot-Savart law-based method for magnetic flux density calculation is presented. Furthermore, the results of the proposed method are compared to measurement results obtained in the vicinity of two 400 kV transmission lines. The performance analysis results showed that proposed method can produce accurate electric field intensity and magnetic flux density estimation results for different overhead transmission line configurations.

This research aimed to determine the differences between the junior (U18) water polo players of five Croatian and one Montenegrin clubs in the anthropometric characteristics and body composition. The first sample of the subjects consisted of 14 players of the water polo club Mladost average age 17.57 ±0 65, the second sample consisted of 11 players of the water polo club Sibenik (17.82±0.65), the third sample consisted of 13 players of the water polo club Primorje (17.23 ±1.01), the fourth sample consisted of 15 players of the water polo club Mornar (17.13 ±0.64), the fifth sample consisted of 13 players of the water polo club Medvescak (17.92 ±0. 6) and the sixth sample consisted of 10 players of the water polo club Jadran Herceg Novi (Montenegro) (17.70 ±1.34). In the 2010–11 season, these clubs participated in Regional Water Polo League, commonly known as the Regional League or Adriatic League in Sou theast Europe. The measurements was conducted in the competition season in the period September-December 2010, at sports centers and swimming pools of water polo clubs that participated in the research. Anthropometric characteristics and body composition were evaluat d using a battery of 12 variables: body height, body weight, arm length, arm span, leg length, foot length, chest skinfold, trice ps skinfold, back skinfold, abdominal skinfold, upper leg skinfold and body mass index. The standard central and dispersion parameters of al l variables were calculated. The significance of the differences between the water polo players of six teams in the variables for ssessing anthropometric characteristics and body composition were determined using ANOVA and an LSD Post Hoc test.Based on the central a nd dispersion parameters, it can be stated that the values of all the variables are highly similar to all of the water polo player s of these six clubs. The ANOVA test found that the water polo players of the six international clubs do not have statistically significant di fferences in the variables for assessing anthropometric characteristics and body composition.