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Introduction
Additional affiliations
January 2007 - present
January 2002 - December 2006
Lancaster University
Publications
Publications (46)
Sensor deployments in Smart Homes have long reached commercial relevance for applications such as home automation, home safety or energy consumption awareness and reduction. Nevertheless, due to the heterogeneity of sensor devices and gateways, data integration is still a costly and timeconsuming process. In this paper we propose the Smart Home Cra...
Due to the rapid development of the Internet of Things (IoT) and consequently, the availability of more and more IoT data sources, mechanisms for searching and integrating IoT data sources become essential to leverage all relevant data for improving processes and services. This paper presents the IoT search framework IoTCrawler. The IoTCrawler fram...
The ACM DEBS 2019 Grand Challenge is the ninth in a series of challenges which seek to provide a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The focus of the 2019 Grand Challenge is on the application of machine learning to LiDAR data. The goal of the challenge is to perform cla...
Stream processing can generate insights from big data in real time as it is being produced. This paper reports findings from a 2017 seminar on big stream processing, focusing on applications, systems, and languages.
The chapter presents an overview of the eight that are part of the
European IoT Security and Privacy Projects initiative (IoT-ESP) addressing
advanced concepts for end-to-end security in highly distributed, heteroge-
neous and dynamic IoT environments. The approaches presented are holistic
and include identification and authentication, data prote...
The ACM DEBS 2018 Grand Challenge is the eighth in a series of challenges which seek to provide a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The focus of the 2018 Grand Challenge is on the application of machine learning to spatio-temporal streaming data. The goal of the challe...
This paper addresses the use of smart-home sensor streams for continuous prediction of energy loads of individual households which participate as an agent in local markets. We introduces a new device level energy consumption dataset recorded over three years wich includes high resolution energy measurements from electrical devices collected within...
The ACM DEBS 2017 Grand Challenge is the seventh in a series of challenges which seek to provide a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The focus of the 2017 Grand Challenge is on the analysis of the RDF streaming data generated by digital and analogue sensors embedded wi...
The ACM DEBS 2017 Grand Challenge is the seventh in a series of challenges which seek to provide a common ground and evaluation criteria for a competition aimed at both research and industrial event-based systems. The focus of the 2017 Grand Challenge is on the analysis of the RDF streaming data generated by digital and analogue sensors embedded wi...
Poster Abstract: Real-time load prediction with high velocity smart home data stream
Over the last years, we have witnessed increasing interconnection between the physical and
digital world. The so called Internet of Things (IoT) is becoming more and more a reality in application
domains like manufacturing, mobile computing, transportation, and many others. However, despite
promising huge potential, the application domain of smart...
Over the last years, we have witnessed increasing interconnection between the physical and digital world. The so called Internet of Things (IoT) is becoming more and more a reality in application domains like manufacturing, mobile computing, transportation, and many others. However, despite promising huge potential, the application domain of smart...
This chapter provides an overview of big data storage technologies. It is the result of a survey of the current state of the art in data storage technologies in order to create a cross-sectorial technology roadmap. This chapter provides a concise overview of big data storage systems that are capable of dealing with high velocity, high volumes, and...
The value of big data is predicated on the ability to detect trends and patterns and more generally to make sense of the large volumes of data that is often comprised of a heterogeneous mix of format, structure, and semantics. Big data analysis is the component of the big data value chain that focuses on transforming raw acquired data into a cohere...
An increasing amount of valuable data sources, advances in Internet of Things and Big Data technologies as well as the availability of a wide range of machine learning algorithms offers new potential to deliver analytical services to citizens and urban decision makers. However, there is still a gap in combining the current state of the art in an in...
An increasing amount of valuable data sources, advances in Internet of Things and Big Data technologies as well as the availability of a wide range of machine learning algorithms offers new potential to deliver analytical ser-vices to citizens and urban decision makers. However there is still a gap in combining the current state-of-the art in an in...
Founded upon the Internet of Things (IoT), the technological landscape of Smart Cities brings a wide range of operational parameters which pose significant challenges for architectural concerns. Herein we provide a unified view on the data path issues of sensing applications in terms of generic capabilities. We touch information granularity and sem...
An increasing amount of valuable data sources, advances in Internet of Things and Big Data technologies as well as the availability of a wide range of machine learning algorithms offers new potential to deliver analytical services to citizens and urban decision makers. However, there is still a gap in combining the current state of the art in an in...
This technological chapter provides an overview of how real-world knowledge and context information can be integrated in pervasive
advertising applications. Often developers of such applications integrate sensing technologies directly into their application.
This has two consequences. First, developers need to learn how to interface, use and manage...
The article discusses two prototypes - an interactive display wall and a targeted advertisement scenario - demonstrates the use of a context-aware middleware and provide insights into important requirements for display platforms for retail environments.
Integrating Wireless Sensor & Actuator Networks (WS&AN) on a large scale allows horizontal applications to access real-world information in real-time and changing the state of the real world, thus providing the basis for the Real World Internet. In this paper we present a resource model that semantically describes sensor, actuator and processing re...
In this article, we will highlight how IMS can provide an excellent technological platform to overcome these limitations. We demonstrate that IMS is a suitable platform for developing a highly scalable framework for unified access of information stemming from globally distributed and heterogeneous sensor networks. Overall, such a framework will fac...
The convergence of wireless networks with mobile devices and embedded
sensing technologies has a tremendous impact on how to model, develop
and evaluate computer and software systems. Consequently, new computing
and system models such as context-aware computing, spatially-aware
computing and physically-embedded computing are supplementing or
replac...
Ontologies will be crucial for the future development of Next Generation Service Delivery Platforms. While various projects have defined ontologies for the mobile domain, there is yet little agreement on a common semantic model. One reason is the intrinsically hard problem of finding, using, mapping and evolving already existing ontologies. In this...
Successful service delivery platforms will need to build on service oriented architectures and provide interoperability with the IP Multimedia Subsystem (IMS). In this extended abstract we describe how presence information that is maintained in IMS can be integrated into a service oriented architecture.
In this paper we present a context-management middleware for Next Generation Networks (NGN). Our middleware, called ICE, is based on the concept of Context Sessions. In contrast to earlier work in context management, we apply NGN design principles to context management and separate signalling from context exchange. We believe that ICE provides an i...
We propose a lightweight localisation approach for supporting distance and range queries in ad hoc wireless sensor networks. In contrast to most previous localisation approaches we use a distance graph as spatial representation where edges between nodes are labelled with distance constraints. This approach has been carefully designed to satisfy the...
INTRODUCTION We propose to demonstrate a system that can illustrate the use of intelligent mobile sensor networks to improve health and safety compliance in the field.
Ambient intelligent applications require applications to recognise user activity calmly in the background, typically by instrumentation of environments. In contrast, we propose the concept of Cooperative Artefacts (CAs) to instrument single artefacts that cooperate with each other to acquire knowledge about their situation in the world. CAs do not...
Ubiquitous computing is giving rise to applications that interact very closely with activity in the real world, usually involving instrumentation of environments. In contrast, we propose Cooperative Artefacts that are able to cooperatively assess their situation in the world, without need for supporting infrastructure in the environment. The Cooper...
This extended abstract presents a technology for artefact-centric development. Our demonstrator shows how the tech-nology could be used to detect safety hazards that arise from improper storage of chemical containers. We augment real chemical containers with Particle Smart-its that allow them detecting hazards by exchanging knowledge about contain-...
We present the Smart-its platform, a tool for embedded context aware systems. Smart-its are an ideal development tool for evaluating concepts and ideas that require embedded sensing and wireless communication solutions. Two complementary platforms are described. The Lancaster DIY Smart-its platform was specifically designed for rapid prototyping af...
nning. Smart-Its addresses this by presenting a standardized hardware solution, coupled with communication and sensing APIs. This allows for rapid prototyping of advanced interactive applications in a way that has never previously been possible. 2 Smart-Its Application Examples At SIGGRAPH 2003 Emerging Technologies, we will show how Smart-Its can...
In this paper, we propose a novel approach to build an intuitive, reconfigurable tangible interface. Our approach is based on a small set of simple gestures using a set of arbitrary physical objects, and their recognition by a table equipped with weight sensors. In our model, physical tokens or everyday items such as coffee mugs or mobile phones ar...
We propose a new concept that facilitates networking of smart objects by creating topologies that reflect the physical environment. As the objects are clustered according to their physical relationships we obtain a self-organizing, scalable and fault-tolerant peer-to-peer like network. We present the ideas and benefits of this concept and our ongoi...
To augment everyday environments as interface to computing may lead to more accessible and inclusive user interfaces, exploiting affordances existing in the physical world for interaction with digital functionality. A major challenge for such interfaces is to preserve accustomed uses while providing unobtrusive access to new services. In this paper...
Load sensing is a mature and robust technology widely applied in process control. In this paper we consider the use of load sensing in everyday environments as an approach to acquisition of contextual information in ubiquitous computing applications. Since weight is an intrinsic property of all physical objects, load sensing is an intriguing concep...
Research in classifying and recognizing complex concepts has been directing its focus increasingly on distributed sensing using a large amount of sensors. The colossal amount of sensor data often obstructs traditional algorithms in centralized approaches, where all sensor data is directed to one central location to be processed. Spreading the proce...
In this position paper we introduce Cooperative Artefacts, physical objects that embed sensing, communication, computation and actuation in physical objects. In contrast to many other approaches, Cooperative Artefacts do not require any external infrastructure but co-operate by sharing knowledge. They are programmable with application rules abstrac...
5 Subject area (WG/SIG and subtopic (as of CfC) where appropriate) WG2 • Service Platforms including middleware for mobile device and back-haul delivery Platforms • Generic Service Elements: OSA/Parlay/IMS/LTE transition towards a Wireless World 6 Relevance of the topic to the above subject area < why has the topic been chosen? what are the expecte...