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1. |
Record Nr. |
UNINA9910583486003321 |
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Titolo |
Li-battery safety / / edited by Jürgen Garche, Klaus Brandt |
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Pubbl/distr/stampa |
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Amsterdam, Netherlands : , : Elsevier, , [2019] |
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©2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (671 pages) |
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Collana |
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Electrochemical power sources |
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Disciplina |
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Soggetti |
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Lithium ion batteries |
Lithium ion batteries - Safety measures |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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General battery safety considerations / Klaus Brandt, Jürgen Garche -- General overview of non-lithium battery systems and their safety issues / Uwe Koehler -- Overview of rechargeable lithium battery systems / Peter Kurzweil, Klaus Brandt. |
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2. |
Record Nr. |
UNINA9910299912703321 |
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Titolo |
Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System : An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) / / edited by Sukhan Lee, Hanseok Ko, Songhwai Oh |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (306 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 501 |
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Disciplina |
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Soggetti |
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Telecommunication |
Computational intelligence |
Control engineering |
Robotics |
Automation |
Communications Engineering, Networks |
Computational Intelligence |
Control, Robotics, Automation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and |
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information fusion scientists, researchers and professionals at universities, research institutes and laboratories. |
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