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The increasing complexity of automotive software systems and the desire for more frequent software and even feature updates require new approaches to the design, integration and testing of these systems. Ideally, those approaches enable an in-field updatability of automotive software systems that provides the same degree of safety guarantees as the traditionally lab-based deployment. In this paper,...
We discuss our experience with the design, implementation, deployment and evaluation of a Human Activity Detection application. This application relies on a software architecture for IoT-based monitoring in Ambient Assisted Living (AAL), based on a Semantic Message Oriented Middleware (SeMoM). Going beyond traditional sensor management systems, our architecture addresses the heterogeneity challenge...
In the course of the development and integration of the autonomous driving the knowledge about the current environment and especially the road is one of the basic requirements to fulfill the automated driving task. This information is often extracted from a precise map provided in the vehicle. Therefore the road course and the individual lanes are known in advance by using the map and a suitable ego...
The current research trend is about intelligent devices. There is a need to interconnect these intelligent embedded devices using the Internet and hence IoT devices have become more essential. Web of Things and Wisdom Web of Things are two technologies in their growing stages. This paper is a study on integration of IoT devices with WoT and W2T. An architecture has been designed to implement the interaction...
In this paper, we are visualizing a military health service (MHS) platform which is based on hierarchical IoT architecture. We propose a semantic Edge based network model which plays a significant role for communicating tactical and non-tactical piece of information over the network. Further, the exchange of information and subsequent data analysis on the MHS makes the system intelligent and smart...
We present a novel architecture for the design of feedback control schemes, aiming to automate the cognitive process performed by human experts when designing control schemes for certain systems. The work starts with the identification of types of cyber-physical modules participating in a feedback control scheme. Each module is defined as a functional mapping between inputs-vectors and an output vector...
We propose a data-centric three leveled modeling architecture in an effort towards a Model Driven approach of services for the Internet of Things (IoT): a resources level, an artifacts level and a semantic level. In this architecture, the resources level abstracts all important pieces of information describing real objects as resources. The artifacts level allows to collect all objects and contexts...
The provisioning of powerful decentralized services in the Internet of Things (IoT), as well as the integration of innovative IoT platforms, requires ubiquity, reliability, high-performance, efficiency, and scalability. Towards the accomplishment of the above requirements, the contemporary technological trends leaded to the IoT and Cloud convergence. This combination created the approach of federated...
In recent years there has been a huge discussion about the IoT (Internet of Things) concept, and even more about IoT within industrial environment. The real IoT is a network of devices with local intelligence (sensors, lights, gas pumps, HVAC systems), which shares access & control mechanisms to push and pull status and command information from the networked world. However, there are still some...
Current solutions to the interoperability problem in Home Automation systems are based on a priori agreements where protocols are standardized and later integrated through specific gateways. In this regards, spontaneous interoperability, or the ability to integrate new devices into the system with minimum planning in advance, is still considered a major challenge that requires new models of connectivity...
Online services are no longer isolated. The release of public APIs and technologies such as web hooks are allowing users and developers to access their information easily. Intelligent agents could use this information to provide a better user experience across services, connecting services with smart automatic behaviours or actions. However, agent platforms are not prepared to easily add external...
Pervasive computing and Internet of Things (IoTs) paradigms have created a huge potential for new business. To fully realize this potential, there is a need for a common way to abstract the heterogeneity of devices so that their functionality can be represented as a virtual computing platform. To this end, we present novel semantic level interoperability architecture for pervasive computing and IoTs...
The Internet of Things (IoT) is understood as a major embodiment of the convergence between device-oriented sensor networks and data-oriented applications that is facilitated through the Internet portfolio of technologies. From an architecture perspective, the wide range of operational parameters entailed by multiple application domains myriads of combinations of sensors and applications is the most...
The constantly increasing dynamics of the world economy and the shift of business values in accordance with the new values of the current society has lead to the development of new Internet oriented Enterprise Systems. This paper is concerned with the transformation of such systems in regard to the new paradigms of Future Internet and Cyber -- Physical Systems. A Distributed Semantic Middleware is...
Internet of Things (IoT) will connect billions of sensors deployed around the world together. This will create an ideal opportunity to build a sensing-as-a-service platform. Due to large number of sensor deployments, there would be number of sensors that can be used to sense and collect similar information. Further, due to advances in sensor hardware technology, new methods and measurements will be...
This paper proposes an open software platform architecture to provide semantic information collected from various sensor networks and sensing devices. Semantically expressed sensing information and metadata of sensing devices can improve reusability of sensing data, therefore general consumers as well as the restricted user can observe, monitor and analyze sensing values from pre-installed sensing...
Context aware computing as well as wearable and ubiquitous computing often attain with pattern recognition on incoming sensor data. Recognizing more (useful) contexts requires more information about the context, and thus more sensors and better recognition algorithms. In order to enable logic inference on incoming data, the proposed work assumes that incoming data are represented by means of semantic...
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