20 research outputs found

    Analysis and verification of ECA rules in intelligent environments

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    Intelligent Environments (IEs) are physical spaces where Information Technology (IT) and other pervasive computing technologies are combined in order to achieve specific goals for the users and the environment. IEs have the goal of enriching user experience, increasing awareness of the environment. A number of applications are currently being deployed in domains ranging from smart homes to e-health and autonomous vehicles. Quite often IE support human activities, thus essential requirements to be ensured are correctness, reliability, safety and security. In this paper we present how a set of techniques and tools that have been developed for the verification of software can be employed in the verification of IE described by means of event-condition-action rules. More precisely, we reduce the problem of verifying key properties of these rules to satisfiability and termination problems that can be addressed using state-of-the-art Satisfiability Modulo Theory (SMT) solvers and program analysers. Our approach has been implemented in a tool called vIRONy. Our approach has been validated on a number of case studies from the literature

    Symbolic verification of event–condition–action rules in intelligent environments

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    In this paper we show how state-of-the art SMT-based techniques for software verification can be employed in the verification of event–condition–action rules in intelligent environments. Moreover, we exploit the specific features of intelligent environments to optimise the verification process. We compare our approach with previous work in a detailed evaluation section, showing how it improves both performance and expressivity of the language for event–condition–action rules

    25th Annual Computational Neuroscience Meeting: CNS-2016

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    Abstracts of the 25th Annual Computational Neuroscience Meeting: CNS-2016 Seogwipo City, Jeju-do, South Korea. 2–7 July 201

    25th annual computational neuroscience meeting: CNS-2016

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    The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong

    NARUN: noise adaptive routing for utility networks

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    Wireless Meter-Bus is an open standard for power-efficient smart metering. Data are collected from meters and transmitted to the collector for processing. In smart cities, placing meters with the best quality communication signal is often challenging for urban constraints and other communication signals. Meters can also have limited capabilities in terms of memory and CPU. Previous work has been addressing the reliability issue only in the context of direct collector-meter communication. This paper proposes a novel noise adaptive routing for utility networks (NARUN) protocol for improved performance and efficient routing in a partially connected mesh network. The collector keeps a weighted graph of the whole network where weights define the link failure index. No keep-alive or control messages are used to update the weights. Meters eavesdrop on the surrounding environment and efficiently report link failure indexes to the collector with ordinary reading messages. We validate NARUN on a real case study

    Integrating Ontologies in Mobile Agents

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    The process of information extraction and data integration in a global information system demands automatic techniques for quickly determining semantic similarity among concepts across different ontologies. This paper presents a graph based approach for computing, on-the-fly, semantic similarities among ontologies of a specific domain. The approach consists of integrating mobile agents and ontologies to support a variety of applications in distributed environments. The resulting technique is illustrated on Hermes, agent-based middleware for mobile computing, by an example in molecular biology domain

    Follow-The-Leader Mechanisms in Medical Devices: A Review on Scientific and Patent Literature

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    Conventional medical instruments are not capable of passing through tortuous anatomy as required for natural orifice transluminal endoscopic surgery due to their rigid shaft designs. Nevertheless, developments in minimally invasive surgery are pushing medical devices to become more dexterous. Amongst devices with controllable flexibility, so-called Follow-The-Leader (FTL) devices possess motion capabilities to pass through confined spaces without interacting with anatomical structures. The goal of this literature study is to provide a comprehensive overview of medical devices with FTL motion. A scientific and patent literature search was performed in five databases (Scopus, PubMed, Web of Science, IEEExplore, Espacenet). Keywords were used to isolate FTL behavior in devices with medical applications. Ultimately, 35 unique devices were reviewed and categorized. Devices were allocated according to their design strategies to obtain the three fundamental sub-functions of FTL motion: steering, (controlling the leader/end-effector orientation), propagation, (advancing the device along a specific path), and conservation (memorizing the shape of the path taken by the device). A comparative analysis of the devices was carried out, showing the commonly used design choices for each sub-function and the different combinations. The advantages and disadvantages of the design aspects and an overview of their performance were provided. Devices that were initially assessed as ineligible were considered in a possible medical context or presented with FTL potential, broadening the classification. This review could aid in the development of a new generation of FTL devices by providing a comprehensive overview of the current solutions and stimulating the search for new ones.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Medical Instruments & Bio-Inspired Technolog

    Uterine preservation in pelvic organ prolapse and urinary stress incontinence using robot-assisted laparoscopic surgery. Case report

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    Introduction: To report a case of uterine preservation in pelvic organ prolapse robot-assisted laparoscopic surgery. Presentation of case: The patient is a 42-year old Caucasian woman with pelvic organ prolapse. She previously had undergone a pelvic floor reconstruction with vaginal surgical approach, she had suffered from anorexia nervosa and she had two childbirths with vaginal deliveries. The woman was treated with robotic-assisted laparoscopic sacrohysteropexy and retropubic colposuspension. Discussion: Data suggest that abdominal surgery, typically with an abdominal sacralcolpopexy, provides better objective anatomic outcomes, than vaginal procedures, despite the longer operating times and grater delay in the resumption of activities which can be mitigated by the use of laparoscopic or robotic surgery. Several studies about vaginal approaches suggest that uterus-preserving surgery with vaginal procedures have similar success rates, less blood loss and shorter surgical time compared with hysterectomy. A multicenter study compared laparoscopic sacrohysteropexy with vaginal mesh hysteropexy reported similar one-year cure rates, improvement in pelvic floor symptoms, improvement in sexual function, and satisfaction rates. Conclusion: We found robotic-assisted laparoscopic sacrohysteropexy to be a feasible and successful procedure. Combining robotic retropubic colposuspension to sacrohysteropexy is a safe and efficient approach for the treatment of stress urinary incontinence. Further studies are needed to define the standard surgical steps and confirm the efficacy and the advantages of this procedure
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