Intelligent Environments 2009: Proceedings of the 5th International Conference on Intelligent Environments, Barcelona 2009, Jul 15, 2009
Abstract. Pattern analysis and prediction of sensory data is becoming an increasing scientific ch... more Abstract. Pattern analysis and prediction of sensory data is becoming an increasing scientific challenge and a massive economical interest supports the need for better pattern mining techniques. The aim of this paper is to investigate efficient mining of useful information from a sensor network representing an ambient intelligence environment. The goal is to extract and predict behavioral patterns of a person in his/her daily activities by analyzing the time series data representing the behaviour of the occupant, generated using occupancy ...
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '15, 2015
Human behaviour can be difficult to interpret even with the sophistication of modern smart homes,... more Human behaviour can be difficult to interpret even with the sophistication of modern smart homes, yet an understanding of the way people conduct their activities of daily living is essential for any attempts to detect problems. We discuss the key indicators for various activities that can be relatively robustly measured, and how these indicators can lead to a holistic measure for the activity. Combining indicators to give a metric for an activity evolution such as sleep can assist in extracting trends which may indicate some change in well-being.
2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim), 2015
ABSTRACT We derive a measure by which 2D container layouts can be rated in terms of their disorde... more ABSTRACT We derive a measure by which 2D container layouts can be rated in terms of their disorderliness. This measure of disorder is known as entropy, and is a combination of different measures that make a layout desirable. The entropy measure is calculated by first creating a connected graph that contains all items in the layouts and their relationships. A minimum spanning tree (MST) is derived from the graph that links all items in the layout. We then calculate the overall entropy as the total sum of all the item-to-item entropy relationships in the MST. The item-to-item entropies are derived from the nature of the objects i.e. their semantic relevance to each other, termed selection entropy, their geometric arrangement, termed rotational entropy, and their distance from each other, termed positional entropy. The lower the total entropy value is, the higher the desirability of the layout it describes is, and vice versa.
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '15, 2015
The availability of datasets for monitoring the activities of daily living is limited by difficul... more The availability of datasets for monitoring the activities of daily living is limited by difficulties associated with the collection of such data. There are many proposed software solutions to overcome this issue is already proposed. In this paper, a new technique to generate realistic data is proposed. The new method provides virtual data to the researchers with the ability to rapidly generate a large simulated data with different factors that could be used to represent different behaviour of a user. This paper describes the use of Hidden Markov Model (HMM) and Direct Simulation Monte Carlo (DSMC) to generate data for Activities of Daily Living (ADL) representing an older adult's behaviour. The combination of HMM and DSMC facilitates the generation of dataset capturing in terms of occupancy and movement activity performance in the environment. Simulated data are validated against data collected from a real environment.
Actas Del Congreso De La Sociedad Espanola De Ingenieria Biomedica Xxxii Congreso Anual De La Sociedad Espanola De Ingenieria Biomedica 26 11 2014 28 11 2014 Barcelona Spain, 2014
In this paper, a user activities outlier detection system is introduced. The proposed system is i... more In this paper, a user activities outlier detection system is introduced. The proposed system is implemented in a smart home environment equipped with appropriate sensory devices. An activity outlier detection system consist of a two-stage integration of Principal Component Analysis (PCA) and Fuzzy Rule-Based System (FRBS). In the first stage, the Hamming distance is used to measure the distances between the activities. PCA is then applied to the distance measures to find two indices of Hotelling's $T^2$ and Squared Prediction Error (SPE). In the second stage of the process, the calculated indices are provided as inputs to FRBSs to model them heuristically. They are used to identify the outliers and classify them. Three case studies are reported to demonstrate the effectiveness of the proposed system. The proposed system successfully identifies the outliers and helps in distinguishing between the normal and abnormal behaviour patterns of the Activities of Daily Living (ADL).
2009 11th International Conference on Computer Modelling and Simulation, 2009
This paper introduces a variety of heuristic methods of object placement that can be used within ... more This paper introduces a variety of heuristic methods of object placement that can be used within a general scheme for the automatic creation of virtual rooms. The methods allow a room to be populated with objects in a randomised but controllable way, where the choice of method is determined by the object being placed and the target location. Certain combinations of object and location (for example books on a bookshelf) allow very simple methods to be used whilst most general situations are addressed using Stochastic Diffusion Search. The system is integrated with a Physics Engine, to guarantee physically stable configurations. These methods allow naturalistic placement to occur, for example paper within desk-tidy.
2011 UkSim 13th International Conference on Computer Modelling and Simulation, 2011
ABSTRACT This paper proposes a method by which the contents of novels may be automatically parsed... more ABSTRACT This paper proposes a method by which the contents of novels may be automatically parsed to extract the key events, characters, locations and significant objects. A technique of clustering relevant to the textual content of novels was derived in order to extract the pertinent elements. The resultant information is presented in the form of a timeline, which can be used to initiate the storyboarding of games based on novels.
2013 UKSim 15th International Conference on Computer Modelling and Simulation, 2013
ABSTRACT Many of the best texture filtering techniques are unsuitable for modern shader based gra... more ABSTRACT Many of the best texture filtering techniques are unsuitable for modern shader based graphics hardware, either because of performance considerations or simply because they do not fit in with the way the hardware operates. Those that are compatible with modern hardware often suffer other shortcomings. This paper presents a new texture filtering technique; which aims to supply similar visual quality to the top techniques, with smaller source textures, in real-time and on current consumer level hardware. This new technique utilises Fourier space filtering to minimise aliasing in MIP maps, while adding back detail by re-introducing the more dominant frequencies when the texture is rendered.
2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
ABSTRACT A hybrid heuristic approach based on the collaborative combination of a genetic algorith... more ABSTRACT A hybrid heuristic approach based on the collaborative combination of a genetic algorithm (GA), a greedy algorithm and another GA integrated with a rectangle packing algorithm is presented for solving the container loading problem (CLP). The approach reduces the CLP into subproblems, collaboratively combining the resulting constituent algorithms to create a novel heuristic algorithm that solves the problem as a whole. Several practical constraints arising from a real-world application such as container weight limit, orientation, stacking, stability, and complete shipment of certain item groups are considered.
Intelligent Environments 2009: Proceedings of the 5th International Conference on Intelligent Environments, Barcelona 2009, Jul 15, 2009
Abstract. Pattern analysis and prediction of sensory data is becoming an increasing scientific ch... more Abstract. Pattern analysis and prediction of sensory data is becoming an increasing scientific challenge and a massive economical interest supports the need for better pattern mining techniques. The aim of this paper is to investigate efficient mining of useful information from a sensor network representing an ambient intelligence environment. The goal is to extract and predict behavioral patterns of a person in his/her daily activities by analyzing the time series data representing the behaviour of the occupant, generated using occupancy ...
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '15, 2015
Human behaviour can be difficult to interpret even with the sophistication of modern smart homes,... more Human behaviour can be difficult to interpret even with the sophistication of modern smart homes, yet an understanding of the way people conduct their activities of daily living is essential for any attempts to detect problems. We discuss the key indicators for various activities that can be relatively robustly measured, and how these indicators can lead to a holistic measure for the activity. Combining indicators to give a metric for an activity evolution such as sleep can assist in extracting trends which may indicate some change in well-being.
2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim), 2015
ABSTRACT We derive a measure by which 2D container layouts can be rated in terms of their disorde... more ABSTRACT We derive a measure by which 2D container layouts can be rated in terms of their disorderliness. This measure of disorder is known as entropy, and is a combination of different measures that make a layout desirable. The entropy measure is calculated by first creating a connected graph that contains all items in the layouts and their relationships. A minimum spanning tree (MST) is derived from the graph that links all items in the layout. We then calculate the overall entropy as the total sum of all the item-to-item entropy relationships in the MST. The item-to-item entropies are derived from the nature of the objects i.e. their semantic relevance to each other, termed selection entropy, their geometric arrangement, termed rotational entropy, and their distance from each other, termed positional entropy. The lower the total entropy value is, the higher the desirability of the layout it describes is, and vice versa.
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '15, 2015
The availability of datasets for monitoring the activities of daily living is limited by difficul... more The availability of datasets for monitoring the activities of daily living is limited by difficulties associated with the collection of such data. There are many proposed software solutions to overcome this issue is already proposed. In this paper, a new technique to generate realistic data is proposed. The new method provides virtual data to the researchers with the ability to rapidly generate a large simulated data with different factors that could be used to represent different behaviour of a user. This paper describes the use of Hidden Markov Model (HMM) and Direct Simulation Monte Carlo (DSMC) to generate data for Activities of Daily Living (ADL) representing an older adult's behaviour. The combination of HMM and DSMC facilitates the generation of dataset capturing in terms of occupancy and movement activity performance in the environment. Simulated data are validated against data collected from a real environment.
Actas Del Congreso De La Sociedad Espanola De Ingenieria Biomedica Xxxii Congreso Anual De La Sociedad Espanola De Ingenieria Biomedica 26 11 2014 28 11 2014 Barcelona Spain, 2014
In this paper, a user activities outlier detection system is introduced. The proposed system is i... more In this paper, a user activities outlier detection system is introduced. The proposed system is implemented in a smart home environment equipped with appropriate sensory devices. An activity outlier detection system consist of a two-stage integration of Principal Component Analysis (PCA) and Fuzzy Rule-Based System (FRBS). In the first stage, the Hamming distance is used to measure the distances between the activities. PCA is then applied to the distance measures to find two indices of Hotelling's $T^2$ and Squared Prediction Error (SPE). In the second stage of the process, the calculated indices are provided as inputs to FRBSs to model them heuristically. They are used to identify the outliers and classify them. Three case studies are reported to demonstrate the effectiveness of the proposed system. The proposed system successfully identifies the outliers and helps in distinguishing between the normal and abnormal behaviour patterns of the Activities of Daily Living (ADL).
2009 11th International Conference on Computer Modelling and Simulation, 2009
This paper introduces a variety of heuristic methods of object placement that can be used within ... more This paper introduces a variety of heuristic methods of object placement that can be used within a general scheme for the automatic creation of virtual rooms. The methods allow a room to be populated with objects in a randomised but controllable way, where the choice of method is determined by the object being placed and the target location. Certain combinations of object and location (for example books on a bookshelf) allow very simple methods to be used whilst most general situations are addressed using Stochastic Diffusion Search. The system is integrated with a Physics Engine, to guarantee physically stable configurations. These methods allow naturalistic placement to occur, for example paper within desk-tidy.
2011 UkSim 13th International Conference on Computer Modelling and Simulation, 2011
ABSTRACT This paper proposes a method by which the contents of novels may be automatically parsed... more ABSTRACT This paper proposes a method by which the contents of novels may be automatically parsed to extract the key events, characters, locations and significant objects. A technique of clustering relevant to the textual content of novels was derived in order to extract the pertinent elements. The resultant information is presented in the form of a timeline, which can be used to initiate the storyboarding of games based on novels.
2013 UKSim 15th International Conference on Computer Modelling and Simulation, 2013
ABSTRACT Many of the best texture filtering techniques are unsuitable for modern shader based gra... more ABSTRACT Many of the best texture filtering techniques are unsuitable for modern shader based graphics hardware, either because of performance considerations or simply because they do not fit in with the way the hardware operates. Those that are compatible with modern hardware often suffer other shortcomings. This paper presents a new texture filtering technique; which aims to supply similar visual quality to the top techniques, with smaller source textures, in real-time and on current consumer level hardware. This new technique utilises Fourier space filtering to minimise aliasing in MIP maps, while adding back detail by re-introducing the more dominant frequencies when the texture is rendered.
2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014
ABSTRACT A hybrid heuristic approach based on the collaborative combination of a genetic algorith... more ABSTRACT A hybrid heuristic approach based on the collaborative combination of a genetic algorithm (GA), a greedy algorithm and another GA integrated with a rectangle packing algorithm is presented for solving the container loading problem (CLP). The approach reduces the CLP into subproblems, collaboratively combining the resulting constituent algorithms to create a novel heuristic algorithm that solves the problem as a whole. Several practical constraints arising from a real-world application such as container weight limit, orientation, stacking, stability, and complete shipment of certain item groups are considered.
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