Smart Sensor interface for sea bottom observatories

In order to be able to use all the marine sensors currently available in the market, a new module has to be built to implement the smart sensor standard IEEE1451[ 1] as well as other services used in marine measurements. The smart module is aimed to be used in ALL observatory configurations: autonomous, cabled and buoybased observatories. This module can also be used in new instrument in other instruments such as Ocean Bottom Seismometers (OBS) [3] or any other instrument where data logging, clock synchronization, and plug and play capabilities are important. Therefore, the power consumption of the smart module has to be minimized for batteries based observatories and autonomous instruments.Peer ReviewedPostprint (published version

Smart sensor interface for sea bottom observatories

In order to be able to use all the marine sensors currently available in the market, a new module has to be built to implement the smart sensor standard IEEE- 1451[1] as well as other services used in marine measurements. The smart module is aimed to be used in ALL observatory configurations: autonomous, cabled and buoybased observatories. This module can also be used for low power data acquisition and control applications in new instrument design such as Ocean Bottom Seismometers (OBS) [3] or any other instrument where data logging, clock synchronization, and plug and play capabilities are important. Therefore, the power consumption of the smart module has to be minimized for batteries based observatories and autonomous instruments.Peer Reviewe

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Non-functional aspects managemen

Domain Specific Modeling Language for Object Localization in Marine Observatories

International audienceMarine observatories (MO) based on sensor networksprovide a continuous observation of the ocean. The logicaland physical components that are used in these observatoriesprovide data exchanged environment between different devices(Smart Sensor, Data Fusion). These components provide newfunctionalities or services due to the stable running of thisnetwork. In this paper, we present our approach in extendingthe modeling languages to include new domain-specific conceptsand constraints. Thus, we propose a meta-model that is usedto generate a new design tool (ArchiMO). We illustrate ourproposal with an example from the MO domain. Additionally,we generate the corresponding simulation code using our selfdevelopeddomain-specific model compiler. Our approach helps toreduce the complexity and time of the design activity. It providesa way to share the different viewpoints of the designers in thedomain of MO

A Modeling Approach for Marine Observatory

International audienceInfrastructure of Marine Observatory (MO) is an UnderWater Sensor Networks (UW-SN) to perform collaborative monitoring tasks over a given area. This observation should take into consideration the environmental constraints since it may require specific tools, materials and devices (cables, servers, etc.). The logical and physical components that are used in these observatories provide data exchanged between the various devices of the environment (Smart Sensor, Data Fusion). These components provide new functionalities or services due to the long period running of the network. In this paper, we present our approach in extending the modeling languages to include new domain- specific concepts and constraints. Thus, we propose a meta-model that is used to generate a new design tool (ArchiMO). We illustrate our proposal with an example from the MO domain on object localization with several acoustics sensors. Additionally, we generate the corresponding simulation code for a standard network simulator using our self-developed domain-specific model compiler. Our approach helps to reduce the complexity and time of the design activity of a Marine Observatory. It provides a way to share the different viewpoints of the designers in the MO domain and obtain simulation results to estimate the network capabilities

Model-driven architecture of a maritime surveillance system simulator

WOSInternational audienceThis article reports on an experiment to apply a model-driven approach for systems engineering in an industrial context. This experiment consisted of setting up a model-driven simulation environment for a maritime surveillance system. The simulation is fully based on three models, each conforming to a specic metamodel. We discuss the main advances given by model-driven orientated simulation for systems engineering

A Role Language to Interpret Multi-Formalism System of Systems Models

International audienceNew systems are by nature distributed and builtaround existing systems. The concept of System of systems (SoS)has become the key for creating new systems. Modeling is acentral issue of SoS design and evolution. Since subsystems ofa SoS can be modeled in different languages, the SoS modelingenvironment should be able to handle heterogeneous modelingformalism. Traditionally, this problem is handled through typebasedmodel transformations which are rigid and static. In thispaper we address this problem by proposing a role modelinglanguage offering a dynamic and extensible way to interpret andconnect models from different languages. An usage of the rolemodeling language on a seafloor observatory use case is shown

A Formal, Model-driven Design Flow for System Simulation and Multi-core Implementation

International audienceWith the growing complexity of Real-Time Embedded Systems (RTES), there is a huge interest in using modeling languages such as the Unified Modeling Language (UML), and other Model-Driven Engineering (MDE) techniques targeting RTES system design. These approaches provide language abstractions for system design, allowing to focus on their relevant properties. Unfortunately, such approaches still suffer from several shortcomings including the lack of well-defined semantics. Therefore, it remains difficult to connect the MDE specification tools and the design tools that are based on formal grounds and well-defined semantics to perform analysis, validation or system synthesis for RTES. This paper presents a top-down RTES design flow aiming to reduce the gap between MDE and formal design approaches. We present the connection between a framework dedicated to the enrichment of modeling languages such as UML with formal semantics, a framework based on formal models of computation supporting validation by simulation, and a system synthesis tool targeting a flexible platform with well-defined execution services. Our purpose is to cover several system design phases from specification, simulation down to implementation on a platform. As a case study, a JPEG Encoder application was realized following the different design steps of the tool-chain

PAMELA: an annotation-based Java Modeling Framework

International audienceThis article presents PAMELA, an annotation-based Java modeling framework. PAMELA provides a smooth integration between model and code and enables Java developers to handle software development both at conceptual level and at source-code level, without code transformation and/or generation, avoiding round-trip-related issues