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  • 51.
    Andreasson, Henrik
    et al.
    Örebro University, School of Science and Technology.
    Stoyanov, Todor
    Örebro University, School of Science and Technology.
    Real time registration of RGB-D data using local visual features and 3D-NDT registration2012In: Proc. of International Conference on Robotics and Automation (ICRA) Workshop on Semantic Perception, Mapping and Exploration (SPME), IEEE, 2012Conference paper (Refereed)
    Abstract [en]

    Recent increased popularity of RGB-D capable sensors in robotics has resulted in a surge of related RGBD registration methods. This paper presents several RGB-D registration algorithms based on combinations between local visual feature and geometric registration. Fast and accurate transformation refinement is obtained by using a recently proposed geometric registration algorithm, based on the Three-Dimensional Normal Distributions Transform (3D-NDT). Results obtained on standard data sets have demonstrated mean translational errors on the order of 1 cm and rotational errors bellow 1 degree, at frame processing rates of about 15 Hz.

  • 52.
    Andreasson, Henrik
    et al.
    Örebro University, Department of Technology.
    Treptow, André
    University of Tübingen.
    Duckett, Tom
    Örebro University, Department of Technology.
    Localization for mobile robots using panoramic vision, local features and particle filter2005In: Proceedings of the 2005 IEEE International Converence on Robotics and Automation: ICRA - 2005, 2005, p. 3348-3353Conference paper (Refereed)
    Abstract [en]

    In this paper we present a vision-based approach to self-localization that uses a novel scheme to integrate featurebased matching of panoramic images with Monte Carlo localization. A specially modified version of Lowe’s SIFT algorithm is used to match features extracted from local interest points in the image, rather than using global features calculated from the whole image. Experiments conducted in a large, populated indoor environment (up to 5 persons visible) over a period of several months demonstrate the robustness of the approach, including kidnapping and occlusion of up to 90% of the robot’s field of view.

  • 53.
    Andreasson, Henrik
    et al.
    Örebro University, Department of Technology.
    Triebel, Rudolph
    University of Friburg.
    Burgard, Wolfram
    University of Friburg.
    Improving plane extraction from 3D data by fusing laser data and vision2005In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005. (IROS 2005): IROS 2005 IEEE/RSJ, 2005, p. 2656-2661Conference paper (Refereed)
    Abstract [en]

    The problem of extracting three-dimensional structures from data acquired with mobile robots has received considerable attention over the past years. Robots that are able to perceive their three-dimensional environment are envisioned to more robustly perform tasks like navigation, rescue, and manipulation. In this paper we present an approach that simultaneously uses color and range information to cluster 3d points into planar structures. Our current system also is able to calibrate the camera and the laser based on the remission values provided by the range scanner and the brightness of the pixels in the image. It has been implemented on a mobile robot equipped with a manipulator that carries a range scanner and a camera for acquiring colored range scans. Several experiments carried out on real data and in simulations demonstrate that our approach yields highly accurate results also in comparison with previous approaches

  • 54.
    Anton, Frans
    Örebro University, School of Science and Technology.
    Mobile Robot Reflectance Acquisition to Detect Plastic Wrapping on Pallets2018Independent thesis Basic level (degree of Bachelor of Fine Arts), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The classification of the plastic wrapped pallet was done by using a SVM. The road for the classification was long, but began by studying the point clouds for plastic pallets and non-plastic pallets. After studying the point cloud a graph could be drawn using the angle and intensity for each point to see if there was a difference between plastic pallet and non-plastic pallet. The experiments that were the heart of my project were to study how good the 28x28 feature which the 28x28 is the dimensions of the histogram that were built using the intensity and angle of each point and the 14x14x14 feature,14x14x14 which are the dimensions of the histogram that were built using the intensity, angle and the distance for each point performs classifications wise on new pallets that the SVM was not trained on. The result was that the

    14x14x14 histogram generalized other pallets that were not included in the training data performed better than the 28x28 histogram.

     

  • 55.
    Arafat, Yeasin
    et al.
    Office of the President of the General Assembly United Nations, New York, USA.
    Hellström, Thomas
    Umeå University, Umeå, Sweden.
    Rashid, Jayedur
    Örebro University, School of Science and Technology.
    Parameterized sensor model and an approach for measuring goodness of robotic maps2010Conference paper (Refereed)
    Abstract [en]

    Map building is a classical problem in mobile and au tonomous robotics, and sensor models is a way to interpret raw sensory information, especially for building maps. In this paper we propose a parameterized sensor model, and optimize map goodness with respect to these parameters. A new approach, measuring the goodness of maps without a handcrafted map of the actual environment is introduced and evaluated. Three different techniques; statistical anal ysis, derivative of images, and comparison of binary maps have been used as estimates of map goodness. The results show that the proposed sensor model generates better maps than a standard sensor model. However, the proposed ap proach of measuring goodness of maps does not improve the results as much as expected.

  • 56.
    Arain, Muhammad Asif
    et al.
    Örebro University, School of Science and Technology.
    Cirillo, Marcello
    Örebro University, School of Science and Technology. Scania AB, Södertälje, Sweden.
    Hernandez Bennetts, Victor
    Örebro University, School of Science and Technology.
    Schaffernicht, Erik
    Örebro University, School of Science and Technology.
    Trincavelli, Marco
    Örebro University, School of Science and Technology.
    Lilienthal, Achim J.
    Örebro University, School of Science and Technology.
    Efficient Measurement Planning for Remote Gas Sensing with Mobile Robots2015In: 2015 IEEE International Conference on Robotics and Automation (ICRA), Washington, USA: IEEE Computer Society, 2015, p. 3428-3434Conference paper (Refereed)
    Abstract [en]

    The problem of gas detection is relevant to manyreal-world applications, such as leak detection in industrialsettings and surveillance. In this paper we address the problemof gas detection in large areas with a mobile robotic platformequipped with a remote gas sensor. We propose a novelmethod based on convex relaxation for quickly finding anexploration plan that guarantees a complete coverage of theenvironment. Our method proves to be highly efficient in termsof computational requirements and to provide nearly-optimalsolutions. We validate our approach both in simulation andin real environments, thus demonstrating its applicability toreal-world problems.

  • 57.
    Arain, Muhammad Asif
    et al.
    Örebro University, School of Science and Technology.
    Fan, Han
    Örebro University, School of Science and Technology.
    Hernandez Bennetts, Victor
    Örebro University, School of Science and Technology.
    Schaffernicht, Erik
    Örebro University, School of Science and Technology.
    Lilienthal, Achim J.
    Örebro University, School of Science and Technology.
    Improving Gas Tomography With Mobile Robots: An Evaluation of Sensing Geometries in Complex Environments2017In: 2017 ISOCS/IEEE International Symposium on Olfaction andElectronic Nose (ISOEN 2017) Proceedings, 2017, article id 7968895Conference paper (Refereed)
    Abstract [en]

    An accurate model of gas emissions is of high importance in several real-world applications related to monitoring and surveillance. Gas tomography is a non-intrusive optical method to estimate the spatial distribution of gas concentrations using remote sensors. The choice of sensing geometry, which is the arrangement of sensing positions to perform gas tomography, directly affects the reconstruction quality of the obtained gas distribution maps. In this paper, we present an investigation of criteria that allow to determine suitable sensing geometries for gas tomography. We consider an actuated remote gas sensor installed on a mobile robot, and evaluated a large number of sensing configurations. Experiments in complex settings were conducted using a state-of-the-art CFD-based filament gas dispersal simulator. Our quantitative comparison yields preferred sensing geometries for sensor planning, which allows to better reconstruct gas distributions.

  • 58.
    Arain, Muhammad Asif
    et al.
    Örebro University, School of Science and Technology.
    Trincavelli, Marco
    Örebro University, School of Science and Technology.
    Cirillo, Marcello
    Örebro University, School of Science and Technology.
    Schaffernicht, Erik
    Örebro University, School of Science and Technology.
    Lilienthal, Achim J.
    Örebro University, School of Science and Technology.
    Global coverage measurement planning strategies for mobile robots equipped with a remote gas sensor2015In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 15, no 3, p. 6845-6871Article in journal (Refereed)
    Abstract [en]

    The problem of gas detection is relevant to many real-world applications, such as leak detection in industrial settings and landfill monitoring. In this paper, we address the problem of gas detection in large areas with a mobile robotic platform equipped with a remote gas sensor. We propose an algorithm that leverages a novel method based on convex relaxation for quickly solving sensor placement problems, and for generating an efficient exploration plan for the robot. To demonstrate the applicability of our method to real-world environments, we performed a large number of experimental trials, both on randomly generated maps and on the map of a real environment. Our approach proves to be highly efficient in terms of computational requirements and to provide nearly-optimal solutions.

  • 59.
    Argyriou, Marios
    et al.
    DTU Compute, Technical University of Denmark, Lyngby, Denmark.
    Dragoni, Nicola
    Örebro University, School of Science and Technology. DTU Compute, Technical University of Denmark, Lyngby, Denmark.
    Spognardi, Angelo
    DTU Compute, Technical University of Denmark, Lyngby, Denmark; Dipartimento Informatica, Sapienza Università di Roma, Rome, Italy.
    Security Flows in OAuth 2.0 Framework: A Case Study2017In: Computer safety, reliability, and security: SAFECOMP 2017 Workshops, ASSURE, DECSoS, SASSUR, TELERISE, and TIPS, Trento, Italy, September 12, 2017, Proceedings / [ed] Tonetta S., Schoitsch E., Bitsch F., Springer, 2017, Vol. 10489, p. 396-406Conference paper (Refereed)
    Abstract [en]

    The burst in smartphone use, handy design in laptops and tablets as well as other smart products, like cars with the ability to drive you around, manifests the exponential growth of network usage and the demand of accessing remote data on a large variety of services. However, users notoriously struggle to maintain distinct accounts for every single service that they use. The solution to this problem is the use of a Single Sign On (SSO) framework, with a unified single account to authenticate user’s identity throughout the different services. In April 2007, AOL introduced OpenAuth framework. After several revisions and despite its wide adoption, OpenAuth 2.0 has still several flaws that need to be fixed in several implementations. In this paper, we present a thorough review about both benefits of this single token authentication mechanism and its open flaws.

  • 60.
    Asadi, Sahar
    Örebro University, School of Science and Technology.
    Towards Dense Air Quality Monitoring: Time-Dependent Statistical Gas Distribution Modelling and Sensor Planning2017Doctoral thesis, monograph (Other academic)
    Abstract [en]

    This thesis addresses the problem of gas distribution modelling for gas monitoring and gas detection. The presented research is particularly focused on the methods that are suitable for uncontrolled environments. In such environments, gas source locations and the physical properties of the environment, such as humidity and temperature may be unknown or only sparse noisy local measurements are available. Example applications include air pollution monitoring, leakage detection, and search and rescue operations.

    This thesis addresses how to efficiently obtain and compute predictive models that accurately represent spatio-temporal gas distribution.

    Most statistical gas distribution modelling methods assume that gas dispersion can be modelled as a time-constant random process. While this assumption may hold in some situations, it is necessary to model variations over time in order to enable applications of gas distribution modelling for a wider range of realistic scenarios.

    This thesis proposes two time-dependent gas distribution modelling methods. In the first method, a temporal (sub-)sampling strategy is introduced. In the second method, a time-dependent gas distribution modelling approach is presented, which introduces a recency weight that relates measurement to prediction time. These contributions are presented and evaluated as an extension of a previously proposed method called Kernel DM+V using several simulation and real-world experiments. The results of comparing the proposed time-dependent gas distribution modelling approaches to the time-independent version Kernel DM+V indicate a consistent improvement in the prediction of unseen measurements, particularly in dynamic scenarios under the condition that there is a sufficient spatial coverage. Dynamic scenarios are often defined as environments where strong fluctuations and gas plume development are present.

    For mobile robot olfaction, we are interested in sampling strategies that provide accurate gas distribution models given a small number of samples in a limited time span. Correspondingly, this thesis addresses the problem of selecting the most informative locations to acquire the next samples.

    As a further contribution, this thesis proposes a novel adaptive sensor planning method. This method is based on a modified artificial potential field, which selects the next sampling location based on the currently predicted gas distribution and the spatial distribution of previously collected samples. In particular, three objectives are used that direct the sensor towards areas of (1) high predictive mean and (2) high predictive variance, while (3) maximising the coverage area. The relative weight of these objectives corresponds to a trade-off between exploration and exploitation in the sampling strategy. This thesis discusses the weights or importance factors and evaluates the performance of the proposed sampling strategy. The results of the simulation experiments indicate an improved quality of the gas distribution models when using the proposed sensor planning method compared to commonly used methods, such as random sampling and sampling along a predefined sweeping trajectory. In this thesis, we show that applying a locality constraint on the proposed sampling method decreases the travelling distance, which makes the proposed sensor planning approach suitable for real-world applications where limited resources and time are available. As a real-world use-case, we applied the proposed sensor planning approach on a micro-drone in outdoor experiments.

    Finally, this thesis discusses the potential of using gas distribution modelling and sensor planning in large-scale outdoor real-world applications. We integrated the proposed methods in a framework for decision-making in hazardous inncidents where gas leakage is involved and applied the gas distribution modelling in two real-world use-cases. Our investigation indicates that the proposed sensor planning and gas distribution modelling approaches can be used to inform experts both about the gas plume and the distribution of gas in order to improve the assessment of an incident.

  • 61.
    Asadi, Sahar
    et al.
    Örebro University, School of Science and Technology.
    Badica, Costin
    University of Craiova, Craiova, Romania.
    Comes, Tina
    Karslruhe Institute of Technology, Karslruhe, Germany.
    Conrado, Claudine
    Thales Research and Technology, Delft, The Netherlands.
    Evers, Vanessa
    University of Amsterdam, Amsterdam, The Netherlands.
    Groen, Frans
    University of Amsterdam, Amsterdam, The Netherlands.
    Illie, Sorin
    University of Craiova, Craiova, Romania.
    Steen Jensen, Jan
    Danish Emergency Management Agency (DEMA), Birkerød, Denmark.
    Lilienthal, Achim J.
    Örebro University, School of Science and Technology.
    Milan, Bianca
    DCMR, Delft, The Netherlands.
    Neidhart, Thomas
    Space Applications Services, Zaventem, Belgium.
    Nieuwenhuis, Kees
    Thales Research and Technology, Delft, The Netherlands.
    Pashami, Sepideh
    Örebro University, School of Science and Technology.
    Pavlin, Gregor
    Thales Research and Technology, Delft, The Netherlands.
    Pehrsson, Jan
    Prolog Development Center, Brøndby Copenhagen, Denmark.
    Pinchuk, Rani
    Space Applications and Services, Zaventem, Belgium.
    Scafes, Mihnea
    University of Craiova, Craiova, Romania.
    Schou-Jensen, Leo
    DCMR, Brøndby Copenhagen, Denmark.
    Schultmann, Frank
    Karslruhe Institute of Technology, Karlsruhe, Germany.
    Wijngaards, Niek
    Thales Research and Technology, Delft, the Netherlands.
    ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach2011In: Proceedings of the 25th EnviroInfo Conference "Environmental Informatics", Herzogenrath: Shaker Verlag, 2011, p. 920-931Conference paper (Refereed)
    Abstract [en]

    This paper presents a framework of ICT solutions developed in the EU research project DIADEM that supports environmental management with an enhanced capacity to assess population exposure and health risks, to alert relevant groups and to organize efficient response. The emphasis is on advanced solutions which are economically feasible and maximally exploit the existing communication, computing and sensing resources. This approach enables efficient situation assessment in complex environmental management problems by exploiting relevant information obtained from citizens via the standard communication infrastructure as well as heterogeneous data acquired through dedicated sensing systems. This is achieved through a combination of (i) advanced approaches to gas detection and gas distribution modelling, (ii) a novel service-oriented approach supporting seamless integration of human-based and automated reasoning processes in large-scale collaborative sense making processes and (iii) solutions combining Multi-Criteria Decision Analysis, Scenario-Based Reasoning and advanced human-machine interfaces. This paper presents the basic principles of the DIADEM solutions, explains how different techniques are combined to a coherent decision support system and briefly discusses evaluation principles and activities in the DIADEM project.

  • 62.
    Asadi, Sahar
    et al.
    Örebro University, School of Science and Technology.
    Lilienthal, Achim
    Örebro University, School of Science and Technology.
    Approaches to Time-Dependent Gas Distribution Modelling2015In: 2015 European Conference on Mobile Robots (ECMR), New York: IEEE conference proceedings , 2015, article id 7324215Conference paper (Refereed)
    Abstract [en]

    Mobile robot olfaction solutions for gas distribution modelling offer a number of advantages, among them autonomous monitoring in different environments, mobility to select sampling locations, and ability to cooperate with other systems. However, most data-driven, statistical gas distribution modelling approaches assume that the gas distribution is generated by a time-invariant random process. Such time-invariant approaches cannot model well developing plumes or fundamental changes in the gas distribution. In this paper, we discuss approaches that explicitly consider the measurement time, either by sub-sampling according to a given time-scale or by introducing a recency weight that relates measurement and prediction time. We evaluate the performance of these time-dependent approaches in simulation and in real-world experiments using mobile robots. The results demonstrate that in dynamic scenarios improved gas distribution models can be obtained with time-dependent approaches.

  • 63.
    Asadi, Sahar
    et al.
    Örebro University, School of Science and Technology.
    Reggente, Matteo
    Örebro University, School of Science and Technology.
    Stachniss, Cyrill
    University of Freiburg, Freiburg, Germany.
    Plagemann, Christian
    Stanford University, Stanford CA, USA.
    Lilienthal, Achim J.
    Örebro University, School of Science and Technology.
    Statistical gas distribution modeling using kernel methods2011In: Intelligent systems for machine olfaction: tools and methodologies / [ed] E. L. Hines and M. S. Leeson, IGI Global, 2011, 1, p. 153-179Chapter in book (Refereed)
    Abstract [en]

    Gas distribution models can provide comprehensive information about a large number of gas concentration measurements, highlighting, for example, areas of unusual gas accumulation. They can also help to locate gas sources and to plan where future measurements should be carried out. Current physical modeling methods, however, are computationally expensive and not applicable for real world scenarios with real-time and high resolution demands. This chapter reviews kernel methodsthat statistically model gas distribution. Gas measurements are treated as randomvariables, and the gas distribution is predicted at unseen locations either using akernel density estimation or a kernel regression approach. The resulting statistical 

    apmodelsdo not make strong assumptions about the functional form of the gas distribution,such as the number or locations of gas sources, for example. The majorfocus of this chapter is on two-dimensional models that provide estimates for themeans and predictive variances of the distribution. Furthermore, three extensionsto the presented kernel density estimation algorithm are described, which allow toinclude wind information, to extend the model to three dimensions, and to reflecttime-dependent changes of the random process that generates the gas distributionmeasurements. All methods are discussed based on experimental validation usingreal sensor data.

  • 64.
    Asiimwe, Edgar Napoleon
    et al.
    Örebro University, Örebro University School of Business.
    Grönlund, Åke
    Örebro University, Örebro University School of Business.
    On mobile learning with learning content management systems: a contemporary literature review2014In: Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937, Vol. 479, p. 131-145Article in journal (Refereed)
    Abstract [en]

    Learning Content management systems (LCMS) are important tools for organizing learning material and communication. Increasingly mobile technologies are used for internet access; particularly important in developing countries where broadband is scarce. Mobile LCMS introduce specific challenges, which are yet not fully addressed. This paper reviews the literature on mobile LCMS for the purpose of identifying current research focus, research gaps, and future research directions regarding how to bridge the gaps and leverage CMS technology to support "mobile learning". The concept matrix method is used to collect and analyze literature. Five prominent research areas are found; Use, access, design and infrastructure; communication and collaboration; engagement and knowledge development; content and service delivery; and implementation experiences and evaluation. A major gap identified is that research does neither clearly nor thoroughly address the intersection between learning and technology. Adjusting technologies to learning contexts and environments is a key area for future research.

  • 65.
    Asplund, Anton
    et al.
    Örebro University, School of Science and Technology.
    Hanna, Gabriel
    Örebro University, School of Science and Technology.
    Using Mobile Augmented Reality and Reasoning Systems in Industrial Maintenance2018Independent thesis Basic level (degree of Bachelor of Fine Arts), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Inspection workers in industries, evaluates the state of machines based on assumptions to decide if a need for service exists. These assumptions varies depending on the person performing the evaluation, which can cause the wrong decision to be made. These decisions on machine service affect the economy of the industry. By using sensors mounted to the machines and a reasoning system to evaluate the data from these sensors, the condition of the machines can be determined. Augmented Reality can then be used to display this condition to the inspection worker, leading to more informed decisions about the need for service being made. This thesis examines the different technologies needed to make this possible, Augmented Reality, Reasoning Systems, and Internet of Things. A prototype application is created using these to show what is possible using the mobile devices we all carry.

  • 66.
    Bacciu, Davide
    et al.
    Dipartimento di Informatica, Università di Pisa, Pisa, Italy.
    Gallicchio, Claudio
    Dipartimento di Informatica, Università di Pisa, Pisa, Italy.
    Micheli, Alessio
    Dipartimento di Informatica, Università di Pisa, Pisa, Italy.
    Di Rocco, Maurizio
    Örebro University, School of Science and Technology.
    Saffiotti, Alessandro
    Örebro University, School of Science and Technology.
    Learning context-aware mobile robot navigation in home environments2014In: IISA 2014: The 5th International Conference on Information, Intelligence, Systems and Applications, New York: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 57-62, article id 6878733Conference paper (Refereed)
    Abstract [en]

    We present an approach to make planning adaptive in order to enable context-aware mobile robot navigation. We integrate a model-based planner with a distributed learning system based on reservoir computing, to yield personalized planning and resource allocations that account for user preferences and environmental changes. We demonstrate our approach in a real robot ecology, and show that the learning system can effectively exploit historical data about navigation performance to modify the models in the planner, without any prior information oncerning the phenomenon being modeled. The plans produced by the adapted CL fail more rarely than the ones generated by a non-adaptive planner. The distributed learning system handles the new learning task autonomously, and is able to automatically identify the sensorial information most relevant for the task, thus reducing the communication and computational overhead of the predictive task.

  • 67. Bahadori, Shahram
    et al.
    Cesta, Amedeo
    Grisetti, Giorgio
    Iocchi, Luca
    Leone, Riccardo G.
    Nardi, Daniele
    Oddi, Angelo
    Pecora, Federico
    Örebro University, Department of Technology.
    Rasconi, Riccardo
    Robocare: an integrated robotic system for the domestic care of the elderly2003Conference paper (Refereed)
  • 68. Bahadori, Shahram
    et al.
    Cesta, Amedeo
    Grisetti, Giorgio
    Iocchi, Luca
    Leone, Riccardo G.
    Nardi, Daniele
    Oddi, Angelo
    Pecora, Federico
    Örebro University, School of Science and Technology.
    Rasconi, Riccardo
    RoboCare: pervasive intelligence for the domestic care of the elderly2004In: Intelligenza Artificiale, ISSN 1724-8035, Vol. 1, no 1, p. 16-21Article in journal (Refereed)
  • 69. Bahadori, Shahram
    et al.
    Cesta, Amedeo
    Iocchi, Luca
    Leone, Riccardo G.
    Nardi, Daniele
    Pecora, Federico
    Örebro University, Department of Technology.
    Rasconi, Riccardo
    Scozzafava, L.
    Towards ambient intelligence for the domestic care of the elderly2005In: Ambient intelligence: a novel paradigm / [ed] Gian Luca Foresti, Tim Ellis, Springer Berlin/Heidelberg, 2005, p. 15-38Chapter in book (Refereed)
  • 70.
    Banaee, Hadi
    Örebro University, School of Science and Technology.
    From Numerical Sensor Data to Semantic Representations: A Data-driven Approach for Generating Linguistic Descriptions2018Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    In our daily lives, sensors recordings are becoming more and more ubiquitous. With the increased availability of data comes the increased need of systems that can represent the data in human interpretable concepts. In order to describe unknown observations in natural language, an artificial intelligence system must deal with several issues involving perception, concept formation, and linguistic description. These issues cover various subfields within artificial intelligence, such as machine learning, cognitive science, and natural language generation.The aim of this thesis is to address the problem of semantically modelling and describing numerical observations from sensor data. This thesis introduces data-driven approaches to perform the tasks of mining numerical data and creating semantic representations of the derived information in order to describe unseen but interesting observations in natural language.The research considers creating a semantic representation using the theory of conceptual spaces. In particular, the central contribution of this thesis is to present a data-driven approach that automatically constructs conceptual spaces from labelled numerical data sets. This constructed conceptual space then utilises semantic inference techniques to derive linguistic interpretations for novel unknown observations. Another contribution of this thesis is to explore an instantiation of the proposed approach in a real-world application. Specifically, this research investigates a case study where the proposed approach is used to describe unknown time series patterns that emerge from physiological sensor data. This instantiation first presents automatic data analysis methods to extract time series patterns and temporal rules from multiple channels of physiological sensor data, and then applies various linguistic description approaches (including the proposed semantic representation based on conceptual spaces) to generate human-readable natural language descriptions for such time series patterns and temporal rules.The main outcome of this thesis is the use of data-driven strategies that enable the system to reveal and explain aspects of sensor data which may otherwise be difficult to capture by knowledge-driven techniques alone. Briefly put, the thesis aims to automate the process whereby unknown observations of data can be 1) numerically analysed, 2) semantically represented, and eventually 3) linguistically described.

  • 71.
    Banaee, Hadi
    et al.
    Örebro University, School of Science and Technology.
    Ahmed, Mobyen Uddin
    Örebro University, School of Science and Technology.
    Loutfi, Amy
    Örebro University, School of Science and Technology.
    A framework for automatic text generation of trends in physiological time series data2013In: IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester, IEEE conference proceedings, 2013, p. 3876-3881Conference paper (Refereed)
    Abstract [en]

    Health monitoring systems using wearable sensorshave rapidly grown in the biomedical community. The mainchallenges in physiological data monitoring are to analyse largevolumes of health measurements and to represent the acquiredinformation. Natural language generation is an effective methodto create summaries for both clinicians and patients as it candescribe useful information extracted from sensor data in textualformat. This paper presents a framework of a natural languagegeneration system that provides a text-based representation ofthe extracted numeric information from physiological sensorsignals. More specifically, a new partial trend detection algorithmis introduced to capture the particular changes and events ofhealth parameters. The extracted information is then representedconsidering linguistic characterisation of numeric features. Ex-perimental analysis was performed using a wearable sensor and demonstrates a possible output in natural language text.

  • 72.
    Banaee, Hadi
    et al.
    Örebro University, School of Science and Technology.
    Ahmed, Mobyen Uddin
    Örebro University, School of Science and Technology.
    Loutfi, Amy
    Örebro University, School of Science and Technology.
    Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges2013In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 13, no 12, p. 17472-17500Article in journal (Refereed)
    Abstract [en]

    The past few years have witnessed an increase in the development of wearable sensors for health monitoring systems. This increase has been due to several factors such as development in sensor technology as well as directed efforts on political and stakeholder levels to promote projects which address the need for providing new methods for care given increasing challenges with an aging population. An important aspect of study in such system is how the data is treated and processed. This paper provides a recent review of the latest methods and algorithms used to analyze data from wearable sensors used for physiological monitoring of vital signs in healthcare services. In particular, the paper outlines the more common data mining tasks that have been applied such as anomaly detection, prediction and decision making when considering in particular continuous time series measurements. Moreover, the paper further details the suitability of particular data mining and machine learning methods used to process the physiological data and provides an overview of the properties of the data sets used in experimental validation. Finally, based on this literature review, a number of key challenges have been outlined for data mining methods in health monitoring systems

  • 73.
    Banaee, Hadi
    et al.
    Örebro University, School of Science and Technology.
    Ahmed, Mobyen Uddin
    Örebro University, School of Science and Technology.
    Loutfi, Amy
    Örebro University, School of Science and Technology.
    Descriptive Modelling of Clinical Conditions with Data-driven Rule Mining in Physiological Data2015In: Proceedings of the 8th International conference of Health Informatics (HEALTHINF 2015), SciTePress, 2015Conference paper (Refereed)
    Abstract [en]

    This paper presents an approach to automatically mine rules in time series data representing physiologicalparameters in clinical conditions. The approach is fully data driven, where prototypical patterns are mined foreach physiological time series data. The generated rules based on the prototypical patterns are then describedin a textual representation which captures trends in each physiological parameter and their relation to the otherphysiological data. In this paper, a method for measuring similarity of rule sets is introduced in order tovalidate the uniqueness of rule sets. This method is evaluated on physiological records from clinical classesin the MIMIC online database such as angina, sepsis, respiratory failure, etc.. The results show that the rulemining technique is able to acquire a distinctive model for each clinical condition, and represent the generatedrules in a human understandable textual representation

  • 74.
    Banaee, Hadi
    et al.
    Örebro University, School of Science and Technology.
    Loutfi, Amy
    Örebro University, School of Science and Technology.
    Data-driven rule mining and representation of temporal patterns in physiological sensor data2015In: IEEE journal of biomedical and health informatics, ISSN 2168-2194, E-ISSN 2168-2208, Vol. 19, no 5, p. 1557-1566Article in journal (Refereed)
    Abstract [en]

    Mining and representation of qualitative patterns is a growing field in sensor data analytics. This paper leverages from rule mining techniques to extract and represent temporal relation of prototypical patterns in clinical data streams. The approach is fully data-driven, where the temporal rules are mined from physiological time series such as heart rate, respiration rate, and blood pressure. To validate the rules, a novel similarity method is introduced, that compares the similarity between rule sets. An additional aspect of the proposed approach has been to utilize natural language generation techniques to represent the temporal relations between patterns. In this study, the sensor data in the MIMIC online database was used for evaluation, in which the mined temporal rules as they relate to various clinical conditions (respiratory failure, angina, sepsis, ...) were made explicit as a textual representation. Furthermore, it was shown that the extracted rule set for any particular clinical condition was distinct from other clinical conditions.

  • 75.
    Banaee, Hadi
    et al.
    Örebro University, School of Science and Technology.
    Loutfi, Amy
    Örebro University, School of Science and Technology.
    Using Conceptual Spaces to Model Domain Knowledge in Data-to-Text Systems2014In: Proceedings of the 8th International Natural Language Generation Conference, Association for Computational Linguistics, 2014, p. 11-15Conference paper (Refereed)
    Abstract [en]

    This position paper introduces the utilityof the conceptual spaces theory to conceptualisethe acquired knowledge in data-totextsystems. A use case of the proposedmethod is presented for text generationsystems dealing with sensor data. Modellinginformation in a conceptual spaceexploits a spatial representation of domainknowledge in order to perceive unexpectedobservations. This ongoing work aimsto apply conceptual spaces in NLG forgrounding numeric information into thesymbolic representation and confrontingthe important step of acquiring adequateknowledge in data-to-text systems.

  • 76.
    Bazzan, Ana L. C.
    et al.
    UFRGS, Porto Alegre, Brazil.
    de Oliveira, Denise
    UFRGS, Porto Alegre, Brazil.
    Klügl, Franziska
    Örebro University, School of Science and Technology.
    Nagel, Kai
    TU Berlin.
    To adapt or not to adapt: consequences of adapting driver and traffic light agents2008In: Adaptive agents and multi-agent systems III: adaptation and multi-agent learning : 5th, 6th, and 7th European Symposium,ALAMAS 2005-2007on Adaptive and Learning Agents and Multi-Agent Systems : revised selected papers / [ed] Karl Tuyls, Ann Nowe, Zahia Guessoum, New York: Springer , 2008, p. 1-14Conference paper (Refereed)
    Abstract [en]

    One way to cope with the increasing traffic demand is to integrate standard solutions with more intelligent control measures. However, the result of possible interferences between intelligent control or information provision tools and other components of the overall traffic system is not easily predictable. This paper discusses the effects of integrating co-adaptive decision-making regarding route choices (by drivers) and control measures (by traffic lights). The motivation behind this is that optimization of traffic light control is starting to be integrated with navigation support for drivers. We use microscopic, agent-based modelling and simulation, in opposition to the classical network analysis, as this work focuses on the effect of local adaptation. In a scenario that exhibits features comparable to real-world networks, we evaluate different types of adaptation by drivers and by traffic lights, based on local perceptions. In order to compare the performance, we have also used a global level optimization method based on genetic algorithms.

  • 77.
    Bazzan, Ana L. C.
    et al.
    Instituto de Informática/PPGC, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre RS, Brazil.
    Klügl, Franziska
    Örebro University, School of Science and Technology.
    A review on agent-based technology for traffic and transportation2014In: Knowledge engineering review (Print), ISSN 0269-8889, E-ISSN 1469-8005, Vol. 29, no 3, p. 375-403Article, review/survey (Refereed)
    Abstract [en]

    In the last few years, the number of papers devoted to applications of agent-based technologies to traffic and transportation engineering has grown enormously. Thus, it seems to be the appropriate time to shed light over the achievements of the last decade, on the questions that have been successfully addressed, as well as on remaining challenging issues. In the present paper, we review the literature related to the areas of agent-based traffic modelling and simulation, and agent-based traffic control and management. Later we discuss and summarize the main achievements and the challenges.

  • 78.
    Bazzan, Ana L. C.
    et al.
    UFRGS, Porto Alegre, Brazil.
    Klügl, Franziska
    Örebro University, School of Science and Technology.
    Re-routing agents in an abstract traffic scenario2008In: Advances in artificial intelligence: SBIA 2008 / [ed] Gerson Zaverucha, Augusto Loureiro da Costa, Berlin: Springer , 2008, p. 63-72Conference paper (Refereed)
    Abstract [en]

    Human drivers may perform replanning when facing traffic jams or when informed that there are expected delays on their planned routes. In this paper, we address the effects of drivers re-routing, an issue that has been ignored so far. We tackle re-routing scenarios, also considering traffic lights that are adaptive, in order to test whether such a form of co-adaptation may result in interferences or positive cumulative effects. An abstract route choice scenario is used which resembles many features of real world networks. Results of our experiments show that re-routing indeed pays off from a global perspective as the overall load of the network is balanced. Besides, re-routing is useful to compensate an eventual lack of adaptivity regarding traffic management.

  • 79.
    Bazzan, Ana Lucia
    et al.
    Universidade Federal Rio Grande do Sul (UFRGS), Rio Grande do Sul, Brazil .
    Klügl, Franziska
    Örebro University, School of Science and Technology.
    Introduction to Intelligent Systems in Traffic and Transportation2013Book (Refereed)
    Abstract [en]

    Urban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such as economical issues (cost of opportunity caused by delays), environmental (externalities related to emissions of pollutants), and social (traffic accidents). Solutions to these issues are more and more closely tied to information and communication technology. Indeed, a search in the technical literature (using the keyword ``urban traffic" to filter out articles on data network traffic) retrieved the following number of articles (as of December 3, 2013): 9,443  (ACM Digital Library), 26,054 (Scopus), and 1,730,000 (Google Scholar). Moreover, articles listed in the ACM query relate to conferences as diverse as MobiCom, CHI, PADS, and AAMAS. This means that  there is a big and diverse community of computer scientists and computer engineers who tackle research that is connected to the development of intelligent traffic and transportation systems. It is also possible to see that this community is growing, and that research projects are getting more and more interdisciplinary. To foster the cooperation among the involved communities, this book aims at  giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. In addition, the second part of the book gives a panorama of some of the most exciting and newest technologies, originating in computer science and computer engineering, that are now being employed in projects related to car-to-car communication, interconnected vehicles, car navigation, platooning, crowd sensing and sensor networks, among others. This material will also be of interest to engineers and researchers from the traffic and transportation community.

  • 80. Beetz, Michael
    et al.
    Chatila, Raja
    Hertzberg, Joachim
    Pecora, Federico
    Örebro University, School of Science and Technology.
    AI Reasoning Methods for Robotics2016In: Springer Handbook of Robotics / [ed] Bruno Siciliano, Oussama Khatib, Springer, 2016, 2, p. 329-356Chapter in book (Other academic)
    Abstract [en]

    Artificial intelligence (AI) reasoning technology involving, e.g., inference, planning, and learning, has a track record with a healthy number of successful applications. So can it be used as a toolbox of methods for autonomous mobile robots? Not necessarily, as reasoning on a mobile robot about its dynamic, partially known environment may differ substantially from that in knowledge-based pure software systems, where most of the named successes have been registered. Moreover, recent knowledge about the robot’s environment cannot be given a priori, but needs to be updated from sensor data, involving challenging problems of symbol grounding and knowledge base change. This chapter sketches the main robotics relevant topics of symbol-based AI reasoning. Basic methods of knowledge representation and inference are described in general, covering both logic and probability-based approaches. The chapter first gives a motivation by example, to what extent symbolic reasoning has the potential of helping robots perform in the first place. Then (Sect. 14.2), we sketch the landscape of representation languages available for the endeavor. After that (Sect. 14.3), we present approaches and results for several types of practical, robotics-related reasoning tasks, with an emphasis on temporal and spatial reasoning. Plan-based robot control is described in some more detail in Sect. 14.4. Section 14.5 concludes.

  • 81. Benedetti, Marco
    et al.
    Pecora, Federico
    Örebro University, Department of Technology.
    Policella, Nicola
    Anatomy of a scheduling competition2007Conference paper (Refereed)
  • 82.
    Benferhat, Salem
    et al.
    Univ. Paul Sabatier, Toulouse, France.
    Saffiotti, Alessandro
    Örebro University, Department of Technology.
    Smets, Philippe
    Univ. Libre de Bruxelles, Brussels, Belgium.
    Belief functions and default reasoning2000In: Artificial Intelligence, ISSN 0004-3702, E-ISSN 1872-7921, Vol. 122, no 1-2, p. 1-69Article in journal (Refereed)
    Abstract [en]

    We present a new approach to deal with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' epsilon semantics, are epsilon-belief assignments, where mass values are either close to 0 or close to 1. In the first part of this paper, we show that these structures can be used to give a uniform semantics to several popular non-monotonic systems, including Kraus, Lehmann and Magidor's system P, Pearl's system Z, Brewka's preferred sub-theories, Geffner's conditional entailment, Pinkas' penalty logic, possibilistic logic, and the lexicographic approach. In the second part, we use epsilon-belief assignments to build a new system, called LCD, and we show that this system correctly addresses the well-known problems of specificity, irrelevance, blocking of inheritance, ambiguity, and redundancy

  • 83.
    Berglund, Erik
    et al.
    Örebro University, School of Science and Technology.
    Iliev, Boyko
    Örebro University, School of Science and Technology.
    Palm, Rainer
    Örebro University, School of Science and Technology.
    Krug, Robert
    Örebro University, School of Science and Technology.
    Charusta, Krzysztof
    Örebro University, School of Science and Technology.
    Dimitrov, Dimitar
    Örebro University, School of Science and Technology.
    Mapping between different kinematic structures without absolute positioning during operation2012In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 48, no 18, p. 1110-1112Article in journal (Refereed)
    Abstract [en]

    When creating datasets for modelling of human skills based on training examples from human motion, one can encounter the problem that the kinematics of the robot does not match the human kinematics. Presented is a simple method of bypassing the explicit modelling of the human kinematics based on a variant of the self-organising map (SOM) algorithm. While the literature contains instances of SOM-type algorithms used for dimension reduction, this reported work deals with the inverse problem: dimension increase, as we are going from 4 to 5 degrees of freedom.

  • 84.
    Bergstedt, Martin
    et al.
    Örebro University, School of Science and Technology.
    Gillström, Tobias
    Örebro University, School of Science and Technology.
    Observator för frontlinjen på surfplatta2017Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This project has been carried out at Saab Dynamics. The project's purpose was to develop an application, TBFO, for reporting information containing how the missile GLSDB would strike a target. TBFO is intended to be used in the proximity of the target and information is sent to the planning system GLSDB MPS.

    The application was built around the 3D engine from Vricon and is developed to fit for use of touch devices. The main part of the work concerns the development of user interface for touch input and the system’s application protocol.

    This report describes the processes of developing the system, including what tools and methods that have been used during development. The report also provides an in-depth look at processes used when developing applications for touch devices.

    The conclusion from the results of this project is that the idea of the described system is useful for the process of planning an assault with GLSDB MPS.

  • 85.
    Bergsten, Pontus
    Örebro University, Department of Technology.
    Observers and controllers for Takagi-Sugeno fuzzy systems2001Doctoral thesis, monograph (Other academic)
    Abstract [en]

    This thesis studies analysis and design issues for observers anc controllers for Takagi-Sugeno (TS) fuzzy systems. Many physical systems are nonlinear in nature and using the well known linear techniques for such systems may result in bad performance, and even instability. On the other hand, analysis and design of observers and controllers for general nonlinear systems tend to be a quite involved procedure. It turns out, however, that a TS fuzzy system is able to represent or approximate a large class of nonlinear systems. Developing methods for observation and control for TS systems should therefore be worthwile.

    The TS fuzzy systems considered in this thesis are allowed to have an affine term. This can be an advantage, because affine TS fuzzy systems may be able to approximate nonlinear functions  to high accuracy with fewer rules than the TS fuzzy system with linear consequents only.

    It is shown that observer design is more difficult when the weights in the TS fuzzy systems depend on the estimated state, and an explicit design procedure is devised for that case. A reduced order observer is also proposed. To deal with modeling errors a fuzzy sliding mode approach is taken.

    The controller design is focused on affine TS fuzzy systems. Analysis and design of observer-based error state feedback controllers are proposed. Furthermore, it is also shown how recent results on classical gain scheduling may be used for control of affine TS fuzzy systems.

    Analysis and design for both observers and controllers are based on quadratic stability analysis, and in some cases, on robust quadratic stability analysis. Although this approach may be conservative, it often results in automatic design procedures based on optimization subject to linear matrix inequalities.

  • 86.
    Bergsten, Pontus
    et al.
    Örebro University, School of Science and Technology.
    Palm, Rainer
    Siemens AG Corporate Technology, Otto-Hahn-Ring, Munich, German.
    Driankov, Dimiter
    Örebro University, School of Science and Technology.
    Observers for Takagi-Sugeno fuzzy systems2002In: IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, ISSN 1083-4419, E-ISSN 1941-0492, ISSN 1083-4419/02, Vol. 32, no 1, p. 114-121Article in journal (Refereed)
    Abstract [en]

    We focus on the analysis and design of two different sliding mode observers for dynamic Takagi-Sugeno (TS) fuzzy systems. A nonlinear system of this class is composed of multiple affine local linear models that are smoothly interpolated by weighting functions resulting from a fuzzy partitioning of the state space of a given nonlinear system subject to observation. The Takagi-Sugeno fuzzy system is then an accurate approximation of the original nonlinear system. Our approach to the analysis and design of observers for Takagi-Sugeno fuzzy systems is based on extending sliding mode observer schemes to the case of interpolated multiple local affine linear models. Thus, our main contribution is nonlinear observer analysis and design methods that can effectively deal with model/plant mismatches. Furthermore, we consider the difficult case when the weighting functions in the Takagi-Sugeno fuzzy system depend on the estimated state

  • 87.
    Berna, Amalia
    et al.
    CSIRO Ecosystem Sciences and CSIRO Food Futures Flagship, Canberra, Australian Capital Territory (ACT), Australia.
    Vergara, Alexander
    University of California, San Diego, USA.
    Trincavelli, Marco
    Örebro University, School of Science and Technology.
    Huerta, Ramon
    University of California, San Diego, USA.
    Afonja, Ayo
    Department of Chemistry, University College London, London, UK.
    Parkin, Ivan
    Binions, Russell
    Trowell, Stephen
    Evaluating zeolite-modified sensors: towards a faster set of chemical sensors2011In: Olfaction and electronic nose: proceedings of the 14th International Symposium on Olfaction and Electronic Nose (ISOEN 2011), May 2-5, 2011, New York City, USA, American Institute of Physics (AIP), 2011, p. 50-52Conference paper (Refereed)
    Abstract [en]

    The response of zeolite-modified sensors, prepared by screen printing layers of chromium titanium oxide (CTO), were compared to unmodified tin oxide sensors using amplitude and transient responses. For transient responses we used a family of features, derived from the exponential moving average (EMA), to characterize chemo-resistive responses. All sensors were tested simultaneously against 20 individual volatile compounds from four chemical groups. The responses of the two types of sensors showed some independence. The zeolite modified CTO sensors discriminated compounds better using either amplitude response or EMA features and CTO-modified sensors also responded three times faster.

  • 88.
    Berndtsson, Joakim
    et al.
    School of Global Studies, University of Gothenburg, Göteborg, Sweden.
    Johansson, Peter
    School of Global Studies, University of Gothenburg, Göteborg, Sweden.
    Karlsson, Martin
    Örebro University, School of Humanities, Education and Social Sciences.
    Value conflicts and non-compliance: Attitudes to whistleblowing in Swedish organisations2018In: Information and Computer Security, ISSN 2056-4961, Vol. 26, no 2, p. 246-258Article in journal (Refereed)
    Abstract [en]

    Purpose: The purpose of the study is to explore potential value conflicts between information security work and whistleblowing activities by analysing attitudes to whistleblowing among white-collar workers in Swedish organisations.

    Design/methodology/approach: The study is conducted using survey data among (n = 674) Swedish white-collar workers. Statistical analyses are conducted to explore variations in acceptance of whistleblowing and analyse the relationship between acceptance for whistleblowing and information security attitudes and behaviours.

    Findings: The study finds strong support for whistleblowing in both public and private spheres, and by both private and public sector employees. The study also finds stronger acceptance for intra-organisational whistleblowing, while support for external whistleblowing is low. Finally, the study shows that the whistleblowing activities might be perceived as coming in conflict with information security work, even as the support for including whistleblowing functions in information security practices is high.

    Research limitations/implications: With a focus on one country, the study is limited in terms of empirical scope. It is also limited by a relatively small number of respondents and survey items relating to whistleblowing, which in turn affects its explanatory value. However, the study does provide unique new insight into a specific form of non-compliance, i.e. whistleblowing, which merits further investigation.

    Originality/value: Few studies exist that combine insights from the fields of whistleblowing and information security research. Thus, this study provides a basis for further investigation into attitudes and behaviours linked to whistleblowing in public and private organisations, as well as attendant value conflicts related to information security management and practice.

  • 89.
    Besold, Tarek R.
    et al.
    Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany.
    Kuehnberger, Kai-Uwe
    Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany.
    Garcez, Artur d'Avila
    City University London, London, UK.
    Saffiotti, Alessandro
    Örebro University, School of Science and Technology.
    Fischer, Martin H.
    University of Potsdam, Potsdam, Germany.
    Bundy, Alan
    University of Edinburgh, Edinburgh, UK.
    Anchoring Knowledge in Interaction: Towards a Harmonic Subsymbolic/Symbolic Framework and Architecture of Computational Cognition2015In: Artificial General Intelligence (AGI 2015), Springer, 2015, p. 35-45Conference paper (Refereed)
    Abstract [en]

    We outline a proposal for a research program leading to a new paradigm, architectural framework, and prototypical implementation, for the cognitively inspired anchoring of an agent's learning, knowledge formation, and higher reasoning abilities in real-world interactions: Learning through interaction in real-time in a real environment triggers the incremental accumulation and repair of knowledge that leads to the formation of theories at a higher level of abstraction. The transformations at this higher level filter down and inform the learning process as part of a permanent cycle of learning through experience, higher-order deliberation, theory formation and revision.

    The envisioned framework will provide a precise computational theory, algorithmic descriptions, and an implementation in cyber-physical systems, addressing the lifting of action patterns from the subsymbolic to the symbolic knowledge level, effective methods for theory formation, adaptation, and evolution, the anchoring of knowledge-level objects, realworld interactions and manipulations, and the realization and evaluation of such a system in different scenarios. The expected results can provide new foundations for future agent architectures, multi-agent systems, robotics, and cognitive systems, and can facilitate a deeper understanding of the development and interaction in human-technological settings.

  • 90.
    Bhatt, Mehul
    Cognitive Systems, and Spatial Cognition Research Center, University of Bremen, Bremen, Germany.
    Between Sense and Sensibility: Declarative narrativisation of mental models as a basis and benchmark for visuo-spatial cognition and computation focussed collaborative cognitive systems2013In: p. 1-5Article in journal (Refereed)
  • 91.
    Bhatt, Mehul
    SFB/TR 8 Spatial Cognition, University of Bremen, Bremen, Germany.
    Commonsense Inference in Dynamic Spatial Systems: Epistemological Requirements2010In: Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS-23) / [ed] Hans W. Guesgen and R. Charles Murray, Menlo Park: AAAI Press , 2010, p. 8-13Conference paper (Refereed)
    Abstract [en]

    We demonstrate the role of commonsense inference toward the modeling of qualitative notions of space and spatial change within a dynamic setup. The inference patterns are connected to those that are required to handle the frame problem whilst modeling inertia, and the causal minimisation of (Lin 1995) that is required to account for the ramifications of occurrences. Such patterns are both useful and necessary in order to operationalize a domain-independent qualitative spatial theory that is re-usable in arbitrary dynamic spatial systems, e.g., for spatial planning and causal explanation tasks. The illustration, grounded in the context of embedding arbitrary 'qualitative spatial calculi' within the situation calculus, utilizes topological and orientation calculi as examples.

  • 92.
    Bhatt, Mehul
    Department of Computer Science, La Trobe University, Melbourne, Australia.
    Dynamical Spatial Systems - A Potential Approach for the Application of Qualitative Spatial Calculi2008In: Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, May 15-17, 2008, Coconut Grove, Florida, USA, Menlo Park: AAAI Press , 2008, p. 580-585Conference paper (Refereed)
    Abstract [en]

    A dynamical systems approach for modeling changing spatial environments is formalised. The formalisation adheres to the representational and computational semantics of situation calculus and includes a systematic account of all aspects necessary to implement a domain-independent qualitative spatial theory that is applicable across diverse application areas. Foundational to the formalisation is a situation calculus based causal theory and a generalised view of qualitative spatial calculi that encompass one or more spatial domains. Furthermore, aspects considered inherent to dynamic spatial systems are also accounted for and the relevant computational tasks addressed by the proposed formalisation are stated explicitly.

  • 93.
    Bhatt, Mehul
    Spatial Cognition Research Center (SFB/TR 8), University of Bremen, Bremen, Germany.
    Invited Speakers2013In: Space, Time, and Ambient Intelligence, Papers from the 2013 AAAI Workshop, Bellevue, Washington, USA, July 14, 2013, AAAI Press, 2013, Vol. WS-13-14Conference paper (Refereed)
    Abstract [en]

    In addition to six paper presentations, which will be accompanied by discussions, the workshop features two keynote speakers: Anthony Cohn (University of Leeds, UK) and Henry Kautz (University of Rochester, USA).

  • 94.
    Bhatt, Mehul
    et al.
    University of Bremen, Bremen, Germany.
    Borrmann, André
    Technische Universität München, München, Germany.
    Amor, Robert
    University of Auckland, Auckland, New Zealand.
    Beetz, Jakob
    Eindhoven University of Technology, Eindhoven, The Netherlands.
    Architecture, computing, and design assistance2013In: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 32, p. 161-164Article in journal (Refereed)
    Abstract [en]

    Design is one of the most complex of human endeavors requiring an enormous number of often conflicting criteria to be contemplated when identifying optimal solutions. Design is constrained by guidelines, codes, and standards applicable to the specific cultural and locational context that the design will be sited. Furthermore, a design has to be created within a collaborative team consisting of many professionals focused on specific subsystems and expert preferences that provide unique functionality to the overall design. The increasing use and capability of software tools involved in the creation and processing of such spatial information has also led to elevated levels of complexity that spurred a need to structure, query and reason about multiple spatial representations of buildings and their components in new ways.

  • 95.
    Bhatt, Mehul
    et al.
    Örebro University, School of Science and Technology. Human-Centred Cognitive Assistance Lab. (HCC), University of Bremen, Bremen, Germany.
    Cutting, James
    Cornell University, Ithaca, USA.
    Levin, Daniel
    Department of Psychology and Human Development, Vanderbilt University, Nashville, USA.
    Lewis, Clayton
    University of Colorado, Boulder, USA.
    Cognition, Interaction, Design: Discussions as Part of the Codesign Roundtable 20172017In: Künstliche Intelligenz, ISSN 0933-1875, E-ISSN 1610-1987, Vol. 31, no 4, p. 363-371Article in journal (Refereed)
    Abstract [en]

    This transcript documents select parts of discus-sions on the confluence of cognition, interaction, design, and human behaviour studies. The interview and related events were held as part of the CoDesign 2017 Roundtable (Bhatt in CoDesign 2017—The Bremen Summer of Cognition and Design/CoDesign Roundtable. University of Bremen, Bremen, 2017) at the University of Bremen (Germany) in June 2017. The Q/A sessions were moderated by Mehul Bhatt (University of Bremen, Germany., and Örebro Uni-versity, Sweden) and Daniel Levin (Vanderbilt University, USA). Daniel Levin served in a dual role: as co-moderator of the discussion, as well as interviewee. The transcript is published as part of a KI Journal special issue on “Seman-tic Interpretation of Multi-Modal Human Behaviour Data” (Bhatt and Kersting in Special Issue on: Semantic Interpre-tation of Multimodal Human Behaviour Data, Artif Intell, 2017).

  • 96.
    Bhatt, Mehul
    et al.
    SFB/TR 8 Spatial Cognition, University of Bremen, Bremen, Germany.
    Dylla, Frank
    SFB/TR 8 Spatial Cognition, University of Bremen, Bremen, Germany.
    A Qualitative Model of Dynamic Scene Analysis and Interpretation in Ambient Intelligence Systems2009In: International Journal of Robotics and Automation, ISSN 0826-8185, Vol. 24, no 3, p. 235-244Article in journal (Refereed)
    Abstract [en]

    Ambient intelligence environments necessitate representing and reasoning about dynamic spatial scenes and configurations. The ability to perform predictive and explanatory analyses of spatial scenes is crucial towards serving a useful intelligent function within such environments. We present a formal qualitative model that combines existing qualitative theories about space with it formal logic-based calculus suited to modelling dynamic environments, or reasoning about action and change in general. With this approach, it is possible to represent and reason about arbitrary dynamic spatial environments within a unified framework. We clarify and elaborate on our ideas with examples grounded in a smart environment.

  • 97.
    Bhatt, Mehul
    et al.
    SFB/TR 8 Spatial Cognition, University of Bremen, Bremen, Germany.
    Dylla, Frank
    SFB/TR 8 Spatial Cognition, University of Bremen, Bremen, Germany.
    Hois, Joana
    SFB/TR 8 Spatial Cognition, University of Bremen, Bremen, Germany.
    Spatio-terminological Inference for the Design of Ambient Environments2009In: Spatial Information Theory: 9th International Conference, COSIT 2009, Aber Wrac’h, France, September 21-25, 2009, Proceedings / [ed] Kathleen Stewart Hornsby, Christophe Claramunt, Michel Denis, Gérard Ligozat, Springer , 2009, Vol. 5756, p. 371-391Conference paper (Refereed)
    Abstract [en]

    We present an approach to assist the smart environment design process by means of automated validation of work-in-progress designs. The approach facilitates validation of not only the purely structural requirements, but also the functional requirements expected of a smart environment whilst keeping in mind the plethora of sensory and interactive devices embedded within such an environment. The approach, founded in spatio-terminological reasoning, is illustrated in the context of formal ontology modeling constructs and reasoners, industrial architecture data standards and state-of-the-art commercial design software.

  • 98.
    Bhatt, Mehul
    et al.
    University of Bremen, Bremen, Germany.
    Erdem, Esra
    Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey.
    Heintz, Fredrik
    Department of Computer Science, Linköping University, Linköping, Sweden.
    Spranger, Michael
    Sony Computer Science Laboratories Inc., Tokyo, Japan.
    Cognitive robotics2016In: Journal of experimental and theoretical artificial intelligence (Print), ISSN 0952-813X, E-ISSN 1362-3079, Vol. 28, no 5, p. 779-780Article in journal (Refereed)
  • 99.
    Bhatt, Mehul
    et al.
    Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Melbourne, Victoria, Australia.
    Flahive, Andrew
    Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Melbourne, Victoria, Australia.
    Wouters, Carlo
    Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Melbourne, Victoria, Australia.
    Rahayu, Wenny
    Department of Computer Science and Computer Engineering, La Trobe University, Bundoora, Melbourne, Victoria, Australia.
    Taniar, David
    School of Business Systems, Monash University, Clayton, Victoria, Australia.
    MOVE: A Distributed Framework for Materialized Ontology View Extraction2006In: Algorithmica, ISSN 0178-4617, E-ISSN 1432-0541, Vol. 45, no 3, p. 457-481Article in journal (Refereed)
    Abstract [en]

    The use of ontologies lies at the very heart of the newly emerging era of semantic web. Ontologies provide a shared conceptualization of some domain that may be communicated between people and application systems. As information on the web increases significantly in size, web ontologies also tend to grow bigger, to such an extent that they become too large to be used in their entirety by any single application. Moreover, because of the size of the original ontology, the process of repeatedly iterating the millions of nodes and relationships to form an optimized sub-ontology becomes very computationally extensive. Therefore, it is imperative that parallel and distributed computing techniques be utilized to implement the extraction process. These problems have stimulated our work in the area of sub-ontology extraction where each user may extract optimized sub-ontologies from an existing base ontology. The extraction process consists of a number of independent optimization schemes that cover various aspects of the optimization process, such as ensuring consistency of the user-specified requirements for the sub-ontology, ensuring semantic completeness of the sub-ontology, etc. Sub-ontologies are valid independent ontologies, known as materialized ontologies, that are specifically extracted to meet certain needs. Our proposed and implemented framework for the extraction process, referred to as Materialized Ontology View Extractor (MOVE), has addressed this problem by proposing a distributed architecture for the extraction/optimization of a sub-ontology from a large-scale base ontology. We utilize coarse-grained data-level parallelism inherent in the problem domain. Such an architecture serves two purposes: (a) facilitates the utilization of a cluster environment typical in business organizations, which is in line with our envisaged application of the proposed system, and (b) enhances the performance of the computationally extensive extraction process when dealing with massively sized realistic ontologies. As ontologies are currently widely used, our proposed approach for distributed ontology extraction will play an important role in improving the efficiency of ontology-based information retrieval.

  • 100.
    Bhatt, Mehul
    et al.
    La Trobe University, Melbourne, Australia.
    Flahive, Andrew
    La Trobe University, Melbourne, Australia.
    Wouters, Carlo
    La Trobe University, Melbourne, Australia.
    Rahayu, Wenny
    La Trobe University, Melbourne, Australia.
    Taniar, David
    Monash University, Australia.
    Dillon, Tharam
    University of Technology Sydney, Australia.
    A distributed approach to sub-ontology extraction2004In: 18th International Conference on Advanced Information Networking and Applications (AINA 2004), 29-31 March 2004, Fukuoka, Japan: Proceedings / [ed] Leonard Barolli, Los Alamitos: IEEE Computer Society , 2004, Vol. 1, p. 636-641Conference paper (Refereed)
    Abstract [en]

    The new era of semantic web has enabled users to extract semantically relevant data from the web. The backbone of the semantic web is a shared uniform structure which defines how web information is split up regardless of the implementation language or the syntax used to represent the data. This structure is known as an ontology.

    As information on the web increases significantly in size, Web ontologies also tend to grow bigger to such an extent that they become too large to be used in their entirety by any single application. This has stimulated our work in the area of sub-ontology extraction where each user may extract optimized sub-ontologies from an existing base ontology.

    Sub-ontologies are valid independent ontologies, known as materialized ontologies, that are specifically extracted to meet certain needs. Because of the size of the original ontology, the process of repeatedly iterating the millions of nodes and relationships to form an optimized sub-ontology can be very extensive. Therefore we have identified the need for a distributed approach to the extraction process. As ontologies are currently widely used, our proposed approach for distributed ontology extraction will play an important role in improving the efficiency of information retrieval.

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