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논문 기본 정보

자료유형
학술대회자료
저자정보
Syed Hassan (Gyeongsang National University) Jungwon Yoon (Gyeongsang National University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2012
발행연도
2012.10
수록면
1,700 - 1,705 (6page)

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초록· 키워드

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When performing drug delivery for a certain disease, the effectiveness of a drug primarily depends on the affected cell, targeted doze and drug release time. In this paper, a novel optimum or near optimum real time targeted drug delivery system is proposed. Targeted path planning algorithm for nano particles based on particle swarm optimization approach and artificial potential field concepts used as virtual MRI (magnetic resonance Imaging) is proposed to solve the obstacle free targeted drug delivery process in a 3d virtual environment. At first stage 3d path planning scheme based on attractive and repulsive artificial potential field for obstacle free path in certain blood vessels is used. Later, an optimization process for all the discovered trajectories by combining particle swarm optimization algorithm is performed to generate an optimal path. Simulation results showed that proposed algorithm has higher success rate in targeting the drugs with a faster convergence rate towards the optimal solution by consuming less computation time (near optimal).

목차

Abstract
1. INTRODUCTION
2. CHARACTARIZATION OF NANO PARTICLES
3. ARTIFICIAL POTENTIAL FIELD ALGORITHM
4. PARTICLE SWARM OPTIMIZATION
5. PROPOSED NAPSO SYSTEM
5. EXPERIMENTS AND RESULTS
6. CONCLUSION
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