完整後設資料紀錄
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dc.contributor.authorLei, Yung-Chunen_US
dc.contributor.authorLin, Tien-Kuoen_US
dc.contributor.authorHuang, Juinn-Daren_US
dc.date.accessioned2019-04-02T06:04:30Z-
dc.date.available2019-04-02T06:04:30Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn2159-3469en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ISVLSI.2018.00124en_US
dc.identifier.urihttp://hdl.handle.net/11536/150727-
dc.description.abstractSample preparation is one of essential steps in biochemical applications. It produces solutions with target concentrations through mixing various reactants in a specific way. In this paper, we propose a reactant cost minimization technique, M2SPA, for multi-target many-reactant sample preparation on microfluidic biochips through maximally sharing identical intermediate solutions among different targets. M2SPA first represents target concentrations as a recipe cube, searches all feasible candidates for intermediate solution sharing among targets, and then selects the one with the best cost saving for action. Experimental results show that the proposed algorithm can reduce up to 15.7% of reactant cost as compared to a state-of-the-art method.en_US
dc.language.isoen_USen_US
dc.subjectSample preparationen_US
dc.subjectmicrofluidic biochipsen_US
dc.subjectreactant minimizationen_US
dc.titleMulti-Target Many-Reactant Sample Preparation for Reactant Minimization on Microfluidic Biochipsen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ISVLSI.2018.00124en_US
dc.identifier.journal2018 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI)en_US
dc.citation.spage655en_US
dc.citation.epage659en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000443443500114en_US
dc.citation.woscount0en_US
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