Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Christian Mandel"'
Publikováno v:
Künstliche Intelligenz im Gesundheitswesen ISBN: 9783658335960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05e70564eb233ba7a191d58f58e708ac
https://doi.org/10.1007/978-3-658-33597-7_43
https://doi.org/10.1007/978-3-658-33597-7_43
Publikováno v:
Zeitschrift für Gerontologie und Geriatrie. 53:129-137
Dieser Artikel beschreibt die Entwicklung eines Rollatormoduls zur sensorgestutzten Haltungs- und Gangmustererkennung mit dem Ziel, eine alltagstaugliche Hilfe zur Sturzpravention zu entwickeln. Kernbeitrag ist ein Vergleich zwischen der Beurteilung
Publikováno v:
2007 Annual Conference & Exposition Proceedings.
Publikováno v:
IEEE Transactions on Microwave Theory and Techniques. 64:2968-2976
This paper provides a fundamental analysis of the maximum possible information content and reading range of chipless time-domain reflectometry (TDR) radio frequency identification (RFID). Bits encoded on a tag as well as bits that can be decoded by t
Autor:
Timo Scherer, Ersin Polat, Martin Schüßler, Christian Mandel, Rolf Jakoby, A. Jiménez Sáez, Bernd Kubina, N. Lautenschlager
Publikováno v:
Procedia Engineering. 168:1231-1236
This paper presents a wireless temperature sensor designed for the monitoring of machine tools, where valuable workpieces are processed and a defective tool can lead to costly damage to the workpiece. Since cutting tools quickly deteriorate at high t
Publikováno v:
Das Gesundheitswesen.
Publikováno v:
Zeitschrift fur Gerontologie und GeriatrieLiteratur. 53(2)
This article describes the development of an add-on module for wheeled walkers dedicated to sensor-based posture and gait pattern recognition with the goal to develop an everyday aid for fall prevention. The core contribution is a clinical study that
Autor:
Serge Autexier, Rafael Barea Navarro, Teodiano Bastos-Filho, María J. Blanca-Mena, Isabel Bolivar-Tellería, Luciano Boquete Vázquez, Ling Chen, Xiaogang Chen, Fernando Chloca, Eduardo Couto, Antonio Díaz-Estrella, Pablo Diez, Ian Dukes, Tiago H. Falk, Álvaro Fernández-Rodríguez, Alan Floriano, Xiaorong Gao, M. Agustina Garcés, Richard J.M. Godinez-Tello, Johannes Grünwald, Dongbing Gu, Federico N. Guerrero, Christoph Guger, Carina V. Herrera, Huosheng Hu, Kyousuke Kamada, Christoph Kapeller, Tim Laue, Elena López Guillén, Helen Macpherson, Christian Mandel, Cesar Marquez-Chin, Verónica Medina-Bañuelos, Hiroshi Ogawa, Lorena L. Orosco, Omar Piña Ramírez, Milos R. Popovic, Robert Prückl, Silvia E. Rodrigo, Ricardo Ron-Angevin, Reinhold Scherer, Enrique M. Spinelli, Wei-Peng Teo, Lucas R. Trambaiolli, Raquel Valdés-Cristerna, Francisco Velasco-Álvarez, Carmen Vidaurre, Sen Wang, Yijun Wang, David White, Oscar Yañez-Suárez
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e124050ad440de73b278931f124f284b
https://doi.org/10.1016/b978-0-12-812892-3.00022-4
https://doi.org/10.1016/b978-0-12-812892-3.00022-4
Autor:
Rolf Jakoby, Christian Mandel, Martin Schüßler, Timo Scherer, Bernd Kubina, N. Lautenschlager, Alejandro Jimenez-Saez, Ersin Polat
Publikováno v:
2017 11th European Conference on Antennas and Propagation (EUCAP).
Temperature monitoring of tools is one key method for the prediction and detection of tool failure to prevent damage of valuable workpieces, e. g. in aircraft manufacturing. Therefore, a chipless wireless dielectric temperature sensor for machine too