Abstract

Zyncro opens a new dimension in corporate documentation management, based on the well-known concept of intranets and adapting it to the new 2.0 culture of collaboration and work online. Internal communications in public and private organizations are alive, and their flows of interaction between internal and external members of the organization are becoming more intense. Tools capable of handling large volumes of information in an easy, fast and secure manner are needed. This is where Zyncro appears: as the new intranet 2.0. This article analyzes and describes this new online application with special emphasis on its archiving and documentation function articulated through working groups and personal archives.

Abstract

In order to address the Signal Setting Design at urban level two main approaches may be pursued: the coordination and the synchronisation approaches depending on the steps considered for the optimisation of decision variables (two steps vs. one step). Furthermore, in terms of objective functions mono-criterion or multi-criteria may be adopted. In this paper the coordination approach is implemented considering the multi-criteria optimisation at single junctions and mono-criterion optimisation at network level whereas the synchronisation is implemented considering the mono-criterion optimisation. The main purpose of the paper is the evaluation of the performances of two strategies not only considering indicators such as the total delay, the queue length etc. but also considering other indicators such as the emissions and the fuel consumption. The methodological framework is composed by three stages: (i) the decision variables (green timings and offsets) computation through optimisation methods; (ii) the implementation of optimal signal settings in a microscopic traffic flow simulator (“Simulation of Urban MObility”-SUMO); (iii) the estimation of emissions and fuel consumption indicators. Document type: Part of book or chapter of book

Abstract

Scientific programmers are accustomed to expressing in their programs the “who” (variable declarations) and the “what” (operations), in some sequentialized order, and leaving to the systems software and hardware the questions of “when” and “where”. This act of delegation is appropriate at the small scales, since programmer management of pipelines, multiple functional units, and multilevel caches is presently beyond reward, and the depth and complexity of such performance-motivated architectural developments are sure to increase. However, disregard for the differential costs of accessing different locations in memory (the “flat memory” model) can put unnecessary amounts of synchronization and data motion on the critical path of program execution. Different organization of algorithms leading to mathematically equivalent results can have very different levels of exposed synchronization and data motion, and algorithmicists of the future will have to be conscious of and adapt to the distributed and hierarchical aspects of memory architecture. Document type: Part of book or chapter of book

Abstract

KARYON, a kernel-based architecture for safety-critical control, is a European project that proposes a new perspective to improve performance of smart vehicle coordination focusing on Advanced Driver Assistance Systems (ADASs) and Unmanned Aerial Systems (UAS). The key objective is to provide system solutions for predictable and safe coordination of smart vehicles that autonomously cooperate and interact in an open and inherently uncertain environment. Currently, these systems are not allowed to operate on the public roads or in the air space, as the risk of causing severe damage cannot be excluded with sufficient certainty. The impact of the project is two-fold; it will provide improved vehicle density without driver involvement and increased traffic throughput to maintain mobility without a need to build new traffic infrastructures. The results will improve interaction in cooperation scenarios while preserving safety and assessing it according to standards. The prospective project results include self-stabilizing algorithms for vehicle coordination, communication and synchronization. In addition, we aim at showing that the safety kernel can be designed to be a self-stabilizing one. Document type: Part of book or chapter of book

Abstract

PEGASE (generic expert platform for embedded wireless applications) is the trade name of a generic wireless sensor platform designed and built by University Gustave Eiffel since 2008. The PEGASE concept is essentially based on a generic vision of its hardware and software capabilities. Hardware genericity is ensured by a principle of plug-in motherboards and daughterboards. The PEGASE motherboard integrates the most common functions of typical data logger systems with specific wireless capabilities and robustness for outdoor field applications: providing computing, power management, multiple I/O and wireless communications, time synchronization. This first-generation PEGASE has been designed in house and sold by a third-party industrial company in thousands of units since 2008. As electronics is a fast-moving field, a second version[2] in 2016 was designed to mitigate the problems of computing power (ram, storage, etc.) and a third one in 2018 incorporating absolute time-stamping[1] [3]of acquisitions has been industrialized. Time-stamping enables data acquired by different sensors to be merged and flight times to be calculated. They are therefore used in a wide range of SHM applications, such as acoustic monitoring of bridge cables, strain gauge monitoring, vibration monitoring, etc. In 2023, the fourth generation of the PEGASE was developed, its electronics not only more powerful, with the addition of a real-time core, a new generation of wi-fi, more storage... But software’s improvements have also enabled it to go even further in the field of synchronization. In fact, in addition to absolute time stamping of acquisitions, the PEGASE 4 platform enables in-phase acquisitions. As a result, 2 PEGASE cards with nothing in common will acquire data with an offset of less than a hundred nanoseconds. This new hardware and software design is also accompanied by a new daughter board. The addition of these, together with new synchronization and phase acquisition methods, are used in fields such as guided waves and acoustic emission. Finally, the BSP (board support package) and the software to be installed on the PEGASE board (driver for the various daughter boards, tools, sdk...) are intended to become open source. In this way, third parties can use the boards and the software embedded on them to carry out their own instrumentation cases. In this paper we will present and discuss the new functionalities of this fourth generation. Perspectives will also be addressed.