Scientific Papers
The DEHEMS project is founded on the cooperation between educational institutions and private business across Europe. This cooperation has led, through research and development, to many scientific advancements that have been shared through publication in scientific journals and through presentation at conferences around the world. Information on the Scientific papers and conferences can be found below. You will need a PDF reader (such as Adobe Reader).
Confererence Papers
- Monitoring Appliances Sensor Data in Home Environment Issues and Challenges (PDF 232kb)
- Issues and challenges faced in monitoring energy consumption in the domestic sector and way forward to deal with these challenges.
- Preference Ordering in Agenda Based multi-issue negotiation for Service Level Agreement (PDF 110 kb)
- Multi-issue negotiation between providers and consumers in a group decision making environment, taking into account the set of issues associated with the service and the negotiation procedure.
- Fuzzy Similarity Clustering for Consumer-Centric QoS-aware Selection of Web Services (PDF 121kb)
- Appropriate use of group consensus on service consumers’ QoS opinions can improve web service discovery. We have proposed a FMGSAM (Fuzzy Multi-Groups based SAM) to improve the accuracy in group opinion similarity analysis and the efficiency in generating group consensus.
- Application of a Model Based Predictive Control Algorithm for Building Temperature Control, Energy Problems and Environmental Engineering (PDF 123kb)
- a model-based predictive control algorithm that uses a limited number of control sequences for on-line simulation of future behaviour of the process. Each control sequence used in simulation generates a predicted sequence of the output signal.
- A Model Based Predictive Control Algorithm for Building Temperature Control (PDF 336kb)
- To simulate the future behaviour of the process the algorithm uses a process model and also the previous sequences of the input and output signals from the process. The algorithm is used for simulation of the temperature control in a house and compared with the usual algorithms of type PI.
- Multi-Agent Oriented Architecture for Data-Stream Processing in an Ambient Assisted Living System
- Submitted to IEEE, awaiting DOI
- On Sensor Data Simulation (External Link)
- This paper introduces a multi-purpose sensor simulation system (DS3) that successfully meets all the data generation requirements imposed by DEHEMS. Primarily designed as an internal tool for testing and tuning the storage and data analysis engines, DS3 will act also as a support platform for a number of end-user orientated applications.
- A Bray-Curtis Weighted Automaton for Detecting Malicious Code Through System-Call Analysis
- Malicious code detection is one of the top subjects of interest for intrusion detection systems in today’s computer security research areas. In this paper we propose a new heuristic method for detecting malicious code through system call matching, which also takes in consideration the time of the system call, by using an adaptive search for an extended Aho-Corasick automaton supporting a subset of the regular expressions language, through the use of a normalization technique known as the Bray-Curtis (Sorensen) distance. We will also discuss how this technique can be applied to enrich the set of existing rules from the knowledge base for improving the detection rate.
- Benchmarking Database Systems for the Requirements of Sensor Readings (PDF 905kb)
- The main purpose of this paper was to present the selection mechanism for a scalable storage solution, based on the requirements of the DEHEMS (Digital Environment Home Energy management System) project.
- Service Selection Based on Fuzzy TOPSIS Method (External Link)
- This article presents an evaluation method based on the technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to help service consumers and providers to analyze available web services with fuzzy opinions.
- A reputation scheme with witness reasoning for service selection (External Link)
- The proposed service selection model is able to estimate Web service reputation by collecting customer witnesses to form fuzzy inference rules and to solve the conflicts via compromise strategy. It used fuzzy Petri net (FPN) to simulate referral network and outrank services based on their reputations.
- Dynamic data driven smart home system based on a Service Component Architecture (External Link)
- This paper presents a new approach to improve smart home design and configuration by introducing Service Component Architecture (SCA) to appliances and sensors networking. A prototype based on the proposed framework was developed to demonstrate its effectiveness.
- Introducing Eco-Masculinities: How a masculine discursive subject approach to the Individual Differences Theory of Gender and IT impacts an environmental informatics project (External Link) This paper examines the concept of eco-masculinities as a philosophical and critical project to understand the links between gendered and pro-environmental behaviour. The paper looks at the sociology of masculinity, and the post-gendered world to which they both aspire, alongside a brief history of ecofeminism. The last section of the paper considers how these philosophical approaches might impact upon analysis of the DEHEMS project. (2010). AMCIS 2010 Proceedings. Paper 277.
- Fuzzy Similarity Clustering for Consumer-Centric QoS-aware Selection of Web Services. Appropriate use of group consensus on service consumers’ QoS opinions can improve web service discovery. For web service participants with different backgrounds or preferences it may not be easy to reach a consensus on the Web service QoS opinions, so they should be treated as multi-groups.
- Ontology for Home Energy Management Domain This paper focuses on an approach to build ontology for home energy management domain which is compatible with Suggested Upper Merged Ontology (SUMO).Domestic Electrical Appliances
- A Profile based Energy Management System for Domestic Electrical Appliances. Most of the currently available energy management systems in domestic environment are concerned with real-time energy consumption monitoring, and display of statistical and real time data of energy consumption. Although these systems play a crucial role in providing a detailed picture of energy consumption in home environment and contribute towards influencing the energy consumption behaviour of household, but they all leave it to households to take appropriate measures to reduce their energy consumption.
- Ontological OLAP for Integrating Energy Sensor Data. In this paper we propose an ontological OLAP framework to integrate distributed energy sensor data.
- Service selection based on fuzzy TOPSIS method. With rapid development of service-oriented architecture and cloud computing, web services have been widely adopted for developing various kinds of applications. A set of non-functional requirements such as QoS has become important criteria for service selection.
- Intelligent Interactive System for Collaborative Green Computing. This report describes a mixed initiative intelligent system that employs multi-modal sensor system, context awareness model, semantics, and service-oriented architecture to provide real-time energy consumption information and recommendations for positive behaviour change on households’ energy consumption.
- A User Centric Service-Orientated Modelling Approach. This paper describes a new user centric service-oriented modeling approach which is featured by integrating fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Service Component Architecture (SCA) to facilitate web service selection and composition and to effectively satisfy a group of service consumers’ subjective requirements and preferences in the dynamic environment.
Journals
The OLAP data cube in the framework annotated with semantics with other supporting mechanisms
can deal with the issues of the schema inconsistency that may result from integration of heterogeneous
data sources.
The OLAP data cube in the framework annotated with semantics with other supporting mechanisms
- Ontological On-line Analytical Processing for Integrating Energy Sensor Data (PDF 232kb)
- In this paper we propose an ontological OLAP framework to integrate distributed energy sensor data. The OLAP data cube in the framework annotated with semantics with other supporting mechanisms can deal with the issues of the schema inconsistency that may result from integration of heterogeneous data sources.
- Benchmarking Database Systems for the Requirements of Sensor Readings (PDF 905kb)
- The main purpose of this paper was to present the selection mechanism for a scalable storage solution, based on the requirements of the DEHEMS (Digital Environment Home Energy management System) project.
- Multi-group QoS consensus for web services (External Link)
- A model for marketing web services based on multi-group consumers’ QoS consensus, the FMG-QCMA (Fuzzy Multi-Groups based QoS Consensus Moderation Approach). The proposed FMG-QCMA is evaluated through a case study to demonstrate its effectiveness and efficiency in relation to an existing framework, QCMA (QoS Consensus Moderation Approach).
- DEHEMS – User-driven Domestic Energy Monitoring (PDF 941kb) A joint paper written by University of Salford and Hildebrand. The paper describes how persuasive energy monitoring technology has the potential to inspire sustainable energy lifestyles within the home and how to effect positive ecological behaviour change, a more user-driven approach is needed for the development of the technology, where the design needs to be accompanied by study on user behaviours and motivations is needed. DEHEMS is presented as an example.
- Multi-group QoS consensus for web services (PDF). QoS has been considered as a significant factor for web service marketing and selection. The interpretation of QoS value from web service consumers and providers would be very different. However, a large group of web service participants with different backgrounds may have difficulties in reaching consensus on the values of multi-dimensional web service.