135 research outputs found

    A software architecture for electro-mobility services: a milestone for sustainable remote vehicle capabilities

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    To face the tough competition, changing markets and technologies in automotive industry, automakers have to be highly innovative. In the previous decades, innovations were electronics and IT-driven, which increased exponentially the complexity of vehicle’s internal network. Furthermore, the growing expectations and preferences of customers oblige these manufacturers to adapt their business models and to also propose mobility-based services. One other hand, there is also an increasing pressure from regulators to significantly reduce the environmental footprint in transportation and mobility, down to zero in the foreseeable future. This dissertation investigates an architecture for communication and data exchange within a complex and heterogeneous ecosystem. This communication takes place between various third-party entities on one side, and between these entities and the infrastructure on the other. The proposed solution reduces considerably the complexity of vehicle communication and within the parties involved in the ODX life cycle. In such an heterogeneous environment, a particular attention is paid to the protection of confidential and private data. Confidential data here refers to the OEM’s know-how which is enclosed in vehicle projects. The data delivered by a car during a vehicle communication session might contain private data from customers. Our solution ensures that every entity of this ecosystem has access only to data it has the right to. We designed our solution to be non-technological-coupling so that it can be implemented in any platform to benefit from the best environment suited for each task. We also proposed a data model for vehicle projects, which improves query time during a vehicle diagnostic session. The scalability and the backwards compatibility were also taken into account during the design phase of our solution. We proposed the necessary algorithms and the workflow to perform an efficient vehicle diagnostic with considerably lower latency and substantially better complexity time and space than current solutions. To prove the practicality of our design, we presented a prototypical implementation of our design. Then, we analyzed the results of a series of tests we performed on several vehicle models and projects. We also evaluated the prototype against quality attributes in software engineering

    Data Mapping for XBRL: A Systematic Literature Review

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    It is evident the growth of the use of eXtensible Business Reporting Language (XBRL) technology in the context of financial reports on the Internet, either for its advantages and benefits or by government impositions, however, the data to be transported by this language are mostly stored in structures defined as database, some relational other NoSQL. The need to integrate XBRL technology with other data storage technologies has been growing continuously, and research is needed to seek a solution for mapping data between these environments. The possible difficulties in integrating XBRL with other technologies, relational database or NoSQL, CSV files, JSON, need to be mapped and overcome. Generating XBRL documents from the database can be costly, since there is no native alternative that the database manager system exports from the database manager system, the data in XBRL. For this, specific third-party systems are needed to generate XBRL documents. Generally, these systems are proprietary and have a high cost. Integrate these different technologies adds complexity, since these documents do not connect to the database manager system. These difficulties cause performance and storage problems and in cases of large data, such as data delivery to government agencies, complexity increases. Thus, it is essential to study techniques and methods that allow us to infer a solution to perform this integration and/or mapping, preferably in a generic way, that includes the XBRL data structure and the main data models currently used, i.e.  Relational DBMS, NoSQL, JSON or CSV files. It is expected, in this work, through a systematic literature review, to identify the state of the art concerning the mapping of XBRL data

    When Things Matter: A Data-Centric View of the Internet of Things

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    With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. While IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume, but also noisy, and continuous. This article surveys the main techniques and state-of-the-art research efforts in IoT from data-centric perspectives, including data stream processing, data storage models, complex event processing, and searching in IoT. Open research issues for IoT data management are also discussed
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