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Hasan Fatih Ertu?rul,Kadir Erkan,Huseyin Uvet Korean Magnetics Society 2018 Journal of Magnetics Vol.23 No.4
In this paper, detailed magnetic force analysis of a 4-pole hybrid electromagnet system providing an advantage of full-redundant levitation is studied. The novel fragmented magnetic equivalent circuit method (MEC) is developed to accurately capture inherited nonlinear characteristics of 4-pole hybrid electromagnet to investigate force characteristics and magnetic field distribution. To confirm this method, two possible scenarios, which are levitation under plain core and levitation under dual-linear motor are composed. As well as, they are examined by both proposed method and FEM analyses. Comparative analyses of both methods revealed that force, inclination torque, and mutual interference can be easily captured with adequate accuracy while at the same time yielding less computation and set up time. Furthermore, the fragmented formulations of permeance functions can be generalized for the analysis and the design of similar devices which specifically involve inclination motions.
Adaptive Music Loudness Modification for Human Auditory Perception
Jong-Rul Park,Jun Dong Cho 대한전자공학회 2015 ITC-CSCC :International Technical Conference on Ci Vol.2015 No.6
This paper presents audio processing applications understanding human auditory reception responses from electroencephalography (EEG). Considering ambient noisy conditions of listening environment, instant adjust of loudness volume level to the loudness volume level to major beating rhythms causes insensitive auditory stimulation and makes the adjusted loudness volume level become low to listen silent rhythms part. Brainwave activity result from EEG monitors stimulation and perception stages of the auditory cortex. The proposed audio processing application provides intuitive perception with limited amplitudes of beating rhythms.
Depth Evaluation from Pattern Projection Optimized for Automated Electronics Assembling Robots
Park, Jong-Rul,Cho, Jun Dong The Institute of Electronics and Information Engin 2014 IEIE Transactions on Smart Processing & Computing Vol.3 No.4
This paper presents the depth evaluation for object detection by automated assembling robots. Pattern distortion analysis from a structured light system identifies an object with the greatest depth from its background. An automated assembling robot should prior select and pick an object with the greatest depth to reduce the physical harm during the picking action of the robot arm. Object detection is then combined with a depth evaluation to provide contour, showing the edges of an object with the greatest depth. The contour provides shape information to an automated assembling robot, which equips the laser based proxy sensor, for picking up and placing an object in the intended place. The depth evaluation process using structured light for an automated electronics assembling robot is accelerated for an image frame to be used for computation using the simplest experimental set, which consists of a single camera and projector. The experiments for the depth evaluation process required 31 ms to 32 ms, which were optimized for the robot vision system that equips a 30-frames-per-second camera.