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| 003 | ES-MaUEC | ||
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| 008 | 210118s2021 si a o |||| 0|eng d | ||
| 020 | _a9789813344488 | ||
| 024 | 7 |
_a10.1007/978-981-33-4448-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC |
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| 050 | 4 |
_aTJ808 _b2021 EB |
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| 100 | 1 |
_aYlli, Klevis _eautor _0(orcid)0000-0002-0514-3081 _1https://orcid.org/0000-0002-0514-3081 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678502 |
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| 245 | 1 | 0 |
_aEnergy harvesting for wearable sensor systems : _binductive architectures for the swing excitation of the leg _cby Klevis Ylli, Yiannos Manoli |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2021 |
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| 300 |
_a1 recurso en línea (XXIX, 143 páginas) _b97 ilustraciones, 55 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSpringer Series in Advanced Microelectronics _x1437-0387 _v62 |
|
| 490 | 0 | _aEngineering (SpringerNature-11647) | |
| 490 | 0 | _aEngineering (R0) (SpringerNature-43712) | |
| 505 | 0 | _aAbstract -- 1. Introduction -- 2. Theory and Modeling -- 3. Geometrical Parameter Optimization -- 4. Experimental Evaluation of Fabricated Architectures -- 5. Second Optimization Run -- 6. Second Generation HAC Experimental Results -- 7. Applications -- 8. Conclusion and Outlook -- A. Appendix -- B. List of Publications -- Bibliography -- Nomenclature. | |
| 520 | 3 | _aThis book investigates several non-resonant inductive harvester architectures in order to find the magnet coil arrangement that generates the largest power output. The book is useful as a step-by-step guide for readers unfamiliar with this form of energy harvesting, but who want to build their own system models to calculate the magnet motion and, from that, the power generation available for body-worn sensor systems. The detailed description of system model development will greatly facilitate experimental work with the aim of fabricating the design with the highest predicted power output. Based on the simulated optimal geometry, fabricated devices achieve an average power output of up to 43 mW during walking, an amount of power that can supply modern low-power, body-worn systems. Experiments were also carried out in industrial applications with power outputs up to 15 mW. In sum, researchers and engineers will find a step-by-step introduction to inductive harvesting and its modeling aspects for achieving optimal harvester designs in an efficient manner. . | |
| 988 | _aSpringer_Engineering_2021 | ||
| 650 | 7 |
_2embne _9143912 _aRecursos energéticos renovables |
|
| 650 | 7 |
_2embne _9143820 _aIngeniería biomédica |
|
| 700 | 1 |
_aManoli, Yiannos _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678503 |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4448-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
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| 998 |
_b04/2021 _dz _eb _zSI |
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