248,459 research outputs found
From Things' Modeling Language (ThingML) to Things' Machine Learning (ThingML2)
In this paper, we illustrate how to enhance an existing state-of-the-art
modeling language and tool for the Internet of Things (IoT), called ThingML, to
support machine learning on the modeling level. To this aim, we extend the
Domain-Specific Language (DSL) of ThingML, as well as its code generation
framework. Our DSL allows one to define things, which are in charge of carrying
out data analytics. Further, our code generators can automatically produce the
complete implementation in Java and Python. The generated Python code is
responsible for data analytics and employs APIs of machine learning libraries,
such as Keras, Tensorflow and Scikit Learn. Our prototype is available as open
source software on Github.Comment: International Conference on Model Driven Engineering Languages and
Systems (MODELS) 2020 Poster Companion (Extended Abstract
Leveraging upon standards to build the Internet of things
Smart embedded objects will become an important part of what is called the Internet of Things. However, the integration of embedded devices into the Internet introduces several challenges, since many of the existing Internet technologies and protocols were not designed for this class of devices. In the past few years, there were many efforts to enable the extension of Internet technologies to constrained devices. Initially, this resulted in proprietary protocols and architectures. Later, the integration of constrained devices into the Internet was embraced by IETF, moving towards standardized IP-based protocols. Long time, most efforts were focusing on the networking layer. More recently, the IETF CoRE working group started working on an embedded counterpart of HTTP, allowing the integration of constrained devices into existing service networks. In this paper, we will briefly review the history of integrating constrained devices into the Internet, with a prime focus on the IETF standardization work in the ROLL and CoRE working groups. This is further complemented with some research results that illustrate how these novel technologies can be extended or used to tackle other problems.The research leading to these results has received funding from the
European Union's Seventh Framework Programme (FP7/2
007-2013) under
grant agreement n°258885 (SPITFIRE project), from the iMinds ICON projects
GreenWeCan and O’CareCloudS, and a VLI
R PhD scholarship to Isam Ishaq
Cybertopia, Dystopia Or More Of The Same—Recent Writings On The Unknowable Future Of The Internet.
n/
MONICA in Hamburg: Towards Large-Scale IoT Deployments in a Smart City
Modern cities and metropolitan areas all over the world face new management
challenges in the 21st century primarily due to increasing demands on living
standards by the urban population. These challenges range from climate change,
pollution, transportation, and citizen engagement, to urban planning, and
security threats. The primary goal of a Smart City is to counteract these
problems and mitigate their effects by means of modern ICT to improve urban
administration and infrastructure. Key ideas are to utilise network
communication to inter-connect public authorities; but also to deploy and
integrate numerous sensors and actuators throughout the city infrastructure -
which is also widely known as the Internet of Things (IoT). Thus, IoT
technologies will be an integral part and key enabler to achieve many
objectives of the Smart City vision.
The contributions of this paper are as follows. We first examine a number of
IoT platforms, technologies and network standards that can help to foster a
Smart City environment. Second, we introduce the EU project MONICA which aims
for demonstration of large-scale IoT deployments at public, inner-city events
and give an overview on its IoT platform architecture. And third, we provide a
case-study report on SmartCity activities by the City of Hamburg and provide
insights on recent (on-going) field tests of a vertically integrated,
end-to-end IoT sensor application.Comment: 6 page
Fine-grained management of CoAP interactions with constrained IoT devices
As open standards for the Internet of Things gain traction, the current Intranet of Things will evolve to a truly open Internet of Things, where constrained devices are first class citizens of the public Internet. However, the large amount of control over constrained networks offered by today's vertically integrated platforms, becomes even more important in an open IoT considering its promise of direct end-to-end interactions with constrained devices. In this paper a set of challenges is identified for controlling interactions with constrained networks that arise due to their constrained nature and their integration with the public Internet. Furthermore, a number of solutions are presented for overcoming these challenges by means of an intercepting intermediary at the edge of the constrained network
A study of existing Ontologies in the IoT-domain
Several domains have adopted the increasing use of IoT-based devices to
collect sensor data for generating abstractions and perceptions of the real
world. This sensor data is multi-modal and heterogeneous in nature. This
heterogeneity induces interoperability issues while developing cross-domain
applications, thereby restricting the possibility of reusing sensor data to
develop new applications. As a solution to this, semantic approaches have been
proposed in the literature to tackle problems related to interoperability of
sensor data. Several ontologies have been proposed to handle different aspects
of IoT-based sensor data collection, ranging from discovering the IoT sensors
for data collection to applying reasoning on the collected sensor data for
drawing inferences. In this paper, we survey these existing semantic ontologies
to provide an overview of the recent developments in this field. We highlight
the fundamental ontological concepts (e.g., sensor-capabilities and
context-awareness) required for an IoT-based application, and survey the
existing ontologies which include these concepts. Based on our study, we also
identify the shortcomings of currently available ontologies, which serves as a
stepping stone to state the need for a common unified ontology for the IoT
domain.Comment: Submitted to Elsevier JWS SI on Web semantics for the Internet/Web of
Thing
Open education: common(s), commonism and the new common wealth
Open Education, and specifically the Open Education Resources movement, seeks to provide universal access to knowledge, undermining the historical enclosure and increasing privatisation of the public education system. An important aspect of this movement is a reinvigoration of the concept of ‘the commons’. The paper examines this aspiration by submitting the implicit theoretical assumptions of Open Education and the underlying notion of ‘the commons’ to the test of critical political economy. The paper acknowledges the radical possibility of the idea of ‘the commons’, but argues that its radical potentiality can be undermined by a preoccupation with ‘the freedom of things rather than with the freedom of labour’. The paper presents an interpretation of ‘the commons’ based on the concept of ‘living knowledge’ and ‘autonomous institutionality’ (Roggero, 2011), and offers the Social Science Centre in the UK, as an example of an ‘institution of the common’1. The paper concludes by arguing the most radical revision of the concept of ‘the common’ involves a fundamental reappraisal of what constitutes social or common wealth
Semantic Gateway as a Service architecture for IoT Interoperability
The Internet of Things (IoT) is set to occupy a substantial component of
future Internet. The IoT connects sensors and devices that record physical
observations to applications and services of the Internet. As a successor to
technologies such as RFID and Wireless Sensor Networks (WSN), the IoT has
stumbled into vertical silos of proprietary systems, providing little or no
interoperability with similar systems. As the IoT represents future state of
the Internet, an intelligent and scalable architecture is required to provide
connectivity between these silos, enabling discovery of physical sensors and
interpretation of messages between things. This paper proposes a gateway and
Semantic Web enabled IoT architecture to provide interoperability between
systems using established communication and data standards. The Semantic
Gateway as Service (SGS) allows translation between messaging protocols such as
XMPP, CoAP and MQTT via a multi-protocol proxy architecture. Utilization of
broadly accepted specifications such as W3C's Semantic Sensor Network (SSN)
ontology for semantic annotations of sensor data provide semantic
interoperability between messages and support semantic reasoning to obtain
higher-level actionable knowledge from low-level sensor data.Comment: 16 page
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