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Light-Induced Molecular Delivery Using Plasmonic Hybrid Nanogels
Seungki LEE,Jieun YOU,Hakchun KIM,Doyun KIM,Inhee CHOI 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Light is a kind of intuitive, easily controllable, and spatiotemporal stimuli that is advantageous in controlled molecular delivery system. Gold nanoparticles (GNPs) are well known as optically active plasmonic materials and generate the local heat by photothermal conversion effect under the resonance condition. Taking this benefit, hybrid structures with plasmonic nanoparticles have been broadly suggested for developing advanced nanocarriers. Here, we present a simple single-step integration method to obtain plasmonic hybrid nanogels (PHNs) composed of thermo-responsive polymers and GNPs. Under the resonant light illumination, PHN generates local heat enough to induce structural change of the polymeric networks and sequentially release the loaded molecules. To maximize this effect, we systematically tune the number of GNPs integrated in the PHNs by changing the co-building blocks. Then, we evaluate their capability to control the molecular delivery via intracellular behaviors of the PHNs stimulated by light. We envision that the proposed light responsive PHNs would be beneficial nanocarriers to improve and understand the controlled drug delivery system more precisely.
Sensor Fusion Algorithm Design in Detecting Vehicles Using Laser Scanner and Stereo Vision
Seungki Kim,Hyunkyu Kim,Wonseok Yoo,Kunsoo Huh IEEE 2016 IEEE transactions on intelligent transportation sy Vol.17 No.4
<P>It is well known that laser scanner has better accuracy than stereo vision in detecting the distance and velocity of the obstacles, whereas stereo vision can distinguish the objects better than the laser scanner. These advantages of each sensor can be maximized by sensor fusion approach so that the obstacles in front can be detected accurately. In this paper, high-level sensor fusion for the laser scanner and stereo vision is developed for object matching between the sensors. Time synchronization, object age, and reordering algorithms are designed for robust tracking of the objects. A time-delay update algorithm is also developed to determine the process time delay of the laser scanner. The expanded laser scanner data at every 1 ms is predicted by Kalman filter and is matched with the stereo vision data at every 66 ms. A cost function is formulated to describe the object matching similarity between the sensors, and the best matching candidate is selected for theminimumcost function. The proposedmatching algorithms are verified experimentally in field tests of various maneuvering cases.</P>