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Mohammad Reza Bank Tavakoli,Behrooz Vahidi 대한전기학회 2011 Journal of Electrical Engineering & Technology Vol.6 No.6
The performance of transmission lines and its shielding design during a lightning phenomenon are quite essential in the maintenance of a reliable power supply to consumers. The leader progression model, as an advanced approach, has been recently developed to calculate the shielding failure rate (SFR) of transmission lines using geometrical data and physical behavior of upward and downward lightning leaders. However, such method is quite time consuming. In the present paper, an effective method that utilizes artificial neural networks (ANNs) to create a metamodel for calculating the SFR of a transmission line based on shielding angle and height is introduced. The results of investigations on a real case study reveal that, through proper selection of an ANN structure and good training, the ANN prediction is very close to the result of the detailed simulation, whereas the Processing time is by far lower than that of the detailed model.
Tavakoli, Mohammad Reza Bank,Vahidi, Behrooz The Korean Institute of Electrical Engineers 2011 Journal of Electrical Engineering & Technology Vol.6 No.6
The performance of transmission lines and its shielding design during a lightning phenomenon are quite essential in the maintenance of a reliable power supply to consumers. The leader progression model, as an advanced approach, has been recently developed to calculate the shielding failure rate (SFR) of transmission lines using geometrical data and physical behavior of upward and downward lightning leaders. However, such method is quite time consuming. In the present paper, an effective method that utilizes artificial neural networks (ANNs) to create a metamodel for calculating the SFR of a transmission line based on shielding angle and height is introduced. The results of investigations on a real case study reveal that, through proper selection of an ANN structure and good training, the ANN prediction is very close to the result of the detailed simulation, whereas the Processing time is by far lower than that of the detailed model.
백경운,조규청,오정희,-- 한국스포츠리서치 2003 한국 스포츠 리서치 Vol.14 No.2
A longitudinal study was conducted to determine the physical maturity characteristics of athletes engaged in the following extracurricular sports activities over the three-year junior high school period : basketball(N=40), baseball(N=130), volleyball(N=54), soccer(N=86) and a non=athletic group(N=37) which did not participate in sports. Each athlete's maturity was determined from the age of maximum increment in height (MIA) of each individual. Longitudinal stature measurements were recorded annually in April for 12 years period from 6 to 18 years of age. The study yielded the following results : 1. The MIA distributions of all the sporting groups were distinctly larger than that of the non-athietic group, increasing with each chronoiogical age step on the distance curve and annual increase in height curve. The MIA mean value for the soccer group was significantly higher(P<.05) than those of the non-athletic and all the other sporting groups. 2. The soccer group was significantly slighter(p<.05) in stature than all the other sporting groups. 3. Subjects who played baseball throughout high school reached physical maturity earlier than those who only played throughout junior high school. However, those who continued to play soccer throughout high school reached maturity later than those who only played throughout junior high school.
Key Technologies in Robot Assistants: Motion Coordination Between a Human and a Mobile Robot
Prassler, Erwin,Bank, Dirk,Kluge, Boris Institute of Control 2002 Transaction on control, automation and systems eng Vol.4 No.1
In this paper we describe an approach to coordinating the motion of a human with a mobile robot moving in a populated, continuously changing. natural environment. Our test application is a wheelchair accompanying a person through the concourse of a railway station moving side by side with the person. Our approach is based on a method for motion planning amongst moving obstacles known as Velocity Obstacle approach. We extend this method by a method for tracking a virtual target which allows us to vary the robot's heading and velocity with the locomotion of the accompanied person and the state of the surrounding environment.