Optimal Path Evolution in a Dynamic Distributed MEMS ... - Eugen Dedu
a sensor to detect if an object is above it. â a controller. â a power supplier. â an actuator: MEMS valve. (micro-electro-mechanical system). â a network module ...
Optimal Path Evolution in a Dynamic Distributed MEMS-Based Conveyor Haithem Skima, Eugen Dedu, Julien Bourgeois, Christophe Varnier, Kamal Medjaher UBFC / UFC / ENSMM, Institut FEMTO-ST France DepCoS-RELCOMEX Brunów, Poland June–July 2016 Eugen Dedu
Optimal Path Evolution in a Dynamic Distributed MEMS-Based Conveyor
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The conveyor ●
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A matrix of identical blocks
Object to move
Each block contains: –
a sensor to detect if an object is above it
–
a controller
–
a power supplier
Sen Act.
–
an actuator: MEMS valve
Controller
(micro-electro-mechanical system) –
Comm.
a network module to communicate with its four immediate neighbours (up, down, left, right)
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The valve generates air, which allows to move the object above it
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The goal of the surface is to convey objects from one point to another
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Optimal Path Evolution in a Dynamic Distributed MEMS-Based Conveyor
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Context: intelligent transportation systems Common property: several possible paths for transportation Network communication
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Car traffic
Energy network
Degradation upon usage ● Cables limited to e.g. 100 MW ● Numerous cars on (energy consumption) ● Depend on time (peak hours) Goal: speed and dependability the same road ● Goal: serve all clients ● Goal: decrease travel time Conveyor ● Distributed and modular system ● ● ● ●
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Eugen Dedu
Degradation upon usage (blocks degrade) All objects have the same destination One object at a time Goal: increase system's dependability (i.e. availability, reliability etc.) by carefully choose the transportation path Conclusion: each system has its specific features, leading to different properties; let's analyse conveyor dependability Optimal Path Evolution in a Dynamic Distributed MEMS-Based Conveyor
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Dependability issue ●
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One issue of the conveyor: blocks degrade (deteriorate) during usage, hence they can fail History of maintenance strategies: –
unplanned breakdown strategy – after occurrence of failure
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preventive maintenance – after some fixed time, regardless system's health
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condition-based maintenance (CBM) – uses current system's health
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recently, predictive maintenance (PM) – predict failure, system's remaining useful life (RUL), prognostics and health management (PHM) research field
36, Big Sky, Montana, USA (Mar 2015). 19. Tanner, D.M.: MEMS reliability: Where are we now? Microelectronics reliability. 49(9), 937â940 (2009). 20. Yin, S.
Blough, D.M., Santi, P.: Investigating upper bounds on network lifetime exten- sion for cell-based energy conservation techniques in stationary ad hoc networks.
Apr 7, 2017 - The conveying principle consists in sending micro-objects from a ..... and the final blocks follows a zigzag (snake) pattern which represents the ...
tion of cells thanks to an integrated network will permit the sys- tem to differentiate ... The benefit of this solution is to ensure protection of the most frag- ile parts of the ... Cells make acquisition of the global state of the smart surface vi
Jul 8, 2009 - The SNC Calibrator. How many sensors are needed to differentiate three parts ? Some definitions : differentiation ratio for G1= {P1, P2, P3}. 1. 1.
Among the most promising solutions to ... The advantage of this solution ..... 856â862. 10. Biegelsen, D., Berlin, A., Cheung, P., Fromherts, M., Goldberg, D., ...
tune their electromagnetic and mechanical behavior accord- ingly [3, 14]. SDMs can ... unique nano-addressing and nano-routing solutions [22]. First, the power ...
Dec 3, 2014 - 2003: fields of research of the lab were: network protocols, .... sensible to data transmission errors: 1-bit error during transmission leads to 4-bit ...
Jan 10, 2017 - Polar coordinate systems, extensively used in radar systems, employing a vector ... infinite line that contain the edge) of a triangle. In contrast ...
most promising solutions to perform these tasks on microparts, is the com- bination of micro-electro ...... In ICRA, pages 856â862, 1998. [20] K. Pister, R. Fearing, ...
unmanned aerial vehicle (UAV)[2]. Having real-time constraints means ... on communication bandwidth, congestion, and contention for communication resources ... to control systems since the network is under the control of one organization.
of 1Mb/s video, and to 4 seconds of 256kb/s video. When buffer is measured in bytes, methods can look at the filling level of the buffer, or only whether the buffer ...
algorithm for distributed decision making in dynamic ..... tion and tight integration with control and sense elec- tronics, MEMS ..... at conveying the object change.
the receiver sends an energy pulse as bit 1, and silence as a bit 0. In this context, a ..... 1150 neighbors, twait = 8 nanoseconds, and for various values of k. In this ...
be done at several OSI layers, but we take the application layer to exemplify. To ... Our previous paper VAAL (Video Adaptation at Application Layer) [12] is an.
Dec 3, 2014 - Packet management is performed by queue policies in routers, such as the two above. .... compare the results based on packet losses, which give information about ..... seventh packet the throughput of the TFRC flow is a bit higher than
up connections with healthcare providers, a range of home automation and .... Everything is at http://eugen.dedu.free.fr/publi/nca18.pdf ...... we will use the âstableâ version from Oracle, v1.1, specification (2002, 125 pages) and tutorial ...
access, routing or congestion control. ... coding to routing and applications. On one hand, progress ..... consider themselves as forwarders along a unicast route.
Apr 1, 2011 - referred to as the Uniform (U) version and the Preferential (P) version. In what follows ..... 1 then Ïκ(x)=0 for every x, and (12) has only the zero solution. ..... [8] Malyshev, V. A. (1998) Random graphs and grammars on graphs.
hundreds of thousands. â Time precision: 1 femtosecond. â Space precision: 1 nanometer. â Simulates each communication at bit level: can compute each ...
