Aluminum energy semi-fuel cell systems for underwater applications: the state of the art and the way ahead

Author(s):  
M. Adams ◽  
W. Halliop
Author(s):  
Peer Hasselmeyer ◽  
Gregory Katsaros ◽  
Bastian Koller ◽  
Philipp Wieder

The management of the entire service landscape comprising a Cloud environment is a complex and challenging venture. There, one task of utmost importance, is the generation and processing of information about the state, health, and performance of the various services and IT components, something which is generally referred to as monitoring. Such information is the foundation for proper assessment and management of the whole Cloud. This chapter pursues two objectives: first, to provide an overview of monitoring in Cloud environments and, second, to propose a solution for interoperable and vendor-independent Cloud monitoring. Along the way, the authors motivate the necessity of monitoring at the different levels of Cloud infrastructures, introduce selected state-of-the-art, and extract requirements for Cloud monitoring. Based on these requirements, the following sections depict a Cloud monitoring solution and describe current developments towards interoperable, open, and extensible Cloud monitoring frameworks.


2019 ◽  
pp. 194-202
Author(s):  
Claudia Lange ◽  
Sven Leuckert
Keyword(s):  

Semiotica ◽  
2019 ◽  
Vol 2019 (228) ◽  
pp. 223-235
Author(s):  
Winfried Nöth

AbstractThe paper begins with a survey of the state of the art in multimodal research, an international trend in applied semiotics, linguistics, and media studies, and goes on to compare its approach to verbal and nonverbal signs to Charles S. Peirce’s approach to signs and their classification. The author introduces the concept of transmodality to characterize the way in which Peirce’s classification of signs reflects the modes of multimodality research and argues that Peirce’s classification of the signs takes modes and modalities in two different respects into consideration, (1) from the perspective of the sign and (2) from the one of its interpretant. While current research in multimodality has its focus on the (external) sign in a communicative process, Peirce considers additionally the multimodality of the interpretants, i.e., the mental icons and indexical scenarios evoked in the interpreters’ minds. The paper illustrates and comments on the Peircean method of studying the multi and transmodality of signs in an analysis of Peirce’s close reading of Luke 19:30 in MS 599, Reason’s Rules, of c. 1902. As a sign, this text is “monomodal” insofar as it consists of printed words only. The study shows in which respects the interpretants of this text evince trans and multimodality.


2010 ◽  
Vol 4 (3) ◽  
pp. 487-494 ◽  
Author(s):  
Michael Knowles ◽  
David Baglee ◽  
Adrian Morris ◽  
Qinglian Ren

2021 ◽  
Vol 280 ◽  
pp. 125086
Author(s):  
Lorenzo Usai ◽  
Christine Roxanne Hung ◽  
Felipe Vásquez ◽  
Max Windsheimer ◽  
Odne Stokke Burheim ◽  
...  

Author(s):  
Julio C. Díaz-Montes ◽  
Jesús Manuel Dorador-González

A review of the state of the art in prosthetic hands is presented; this review covers the most common commercial prosthesis and prototypes under development. In this analysis, prosthetic devices were divided in six systems: actuation, reduction, blocking, transmission, flexion and support. The information obtained is presented according to those systems. The most important features of each system are presented together with their relationship with the performance of the entire prosthesis. An analysis that indicates the way in which prosthesis take advantage of the capabilities of current technologies is presented. Recommendations for improving the performance of upper limb prosthesis are proposed.


Author(s):  
Andrés Camero ◽  
Jamal Toutouh ◽  
Javier Ferrer ◽  
Enrique Alba

The unsustainable development of countries has created a problem due to the unstoppable waste generation. Moreover, waste collection is carried out following a pre-defined route that does not take into account the actual level of the containers collected. Therefore, optimizing the way the waste is collected presents an interesting opportunity. In this study, we tackle the problem of predicting the waste generation ratio in real-world conditions, i.e., under uncertainty. Particularly, we use a deep neuroevolutionary technique to automatically design a recurrent network that captures the filling level of all waste containers in a city at once, and we study the suitability of our proposal when faced to noisy and faulty data. We validate our proposal using a real-world case study, consisting of more than two hundred waste containers located in a city in Spain, and we compare our results to the state-of-the-art. The results show that our approach exceeds all its competitors and that its accuracy in a real-world scenario, i.e., under uncertain data, is good enough for optimizing the waste collection planning.


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