8 research outputs found

    Modelling Contiki-Based IoT Systems

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    In this paper, we investigate how model-driven engineering (MDE) of Internet of Things (IoT) systems and Wireless-Sensor Networks (WSN) can be supported and introduce a domain-specific metamodel for modeling such systems based on the well-known Contiki operating system. The unique lightweight thread structure of Contiki makes it more preferable in the implementation of new IoT systems instead of many other existing platforms. Although some MDE approaches exist for IoT systems and WSNs, currently there is no study which addresses the modelling according to the specifications of Contiki platform. The work presented in this paper aims at filling this gap and covers the development of both a modeling language syntax and a graphical modeling environment for the MDE of IoTs according to event-driven mechanism and protothread architecture of Contiki. Use of the proposed modeling language is demonstrated with including the development of an IoT system for forest fire detection

    PureMEM: A Structured Programming Model for Transiently Powered Computers

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    ###EgeUn###Advances in energy harvesting circuits and energy efficient architecture of processors create the potential for batteryless computing and sensing systems called transiently powered computers. These computers can only operate intermittently due to fluctuating nature of ambient energy. Intermittent operation requires a new programming model that should preserve forward progress and maintain data consistency; which are challenging. We propose a structured task-based programming model; namely PureMEM, to cope with these challenges. We discuss how PureMEM prevents interdependencies caused by the unstructured control encountered in intermittent operation, enables re-usability of the tasks, provides dynamic memory management and supports error handling. We also present intermittent programs to exemplify the features of PureMEM.Assoc Comp Machinery Special Interest Grp Appl Com

    Enginnering a BDI Agent-based Semantic e-Barter System

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    2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEYWOS: 000426856900203Barter system is an alternative commerce approach where customers meet at a marketplace in order to exchange their goods or services without currency. E-barter systems, also gain attention with the rise of e-commerce. Barterers search databases for goods and services they need. In this paper, the integration of ontology and agent systems is proposed as a solution for searching in diverse barter databases semantically and bargaining on behalf of the customers. Systematic design of the semantic e-barter system based on the Belief-Desire-Intention (BDI) agents is performed with using Prometheus methodology. The system is implemented on JACK intelligent agent platform. The implemented system is benefited from matchmaking reasoning by employing ontologies.IEEE Adv Technol Human, Istanbul Teknik Univ, Gazi Univ, Atilim Univ, TBV, Akdeniz Univ, Tmmob Bilgisayar Muhendisleri Odas

    Shear Wave Elastography of the Lumbar Multifidus Muscle in Patients With Unilateral Lumbar Disk Herniation

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    Objectives To assess lumbar multifidus muscle stiffness in patients with unilateral lumbar disk herniation (LDH) causing nerve root compression using shear wave elastography (SWE). Methods Thirty-three patients with unilateral subarticular LDH (L3-L4, L4-L5, and L5-S1) causing nerve root compression, diagnosed by magnetic resonance imaging, were enrolled in the study. Exclusion criteria were bilateral or multilevel LDH confirmed on magnetic resonance imaging, bilateral leg symptoms, and patients with a history of any spinal operation, malignancy, trauma, infection, spondylolisthesis, severe lateral recess stenosis, spinal canal stenosis, and substantial comorbidities. Two observers separately evaluated the multifidus muscle using SWE. Shear wave elastographic examinations of the muscle were performed slightly below the herniation using the spinous process of the vertebra as a landmark. The stiffness of the muscle between affected and normal sides was compared. Moreover, the correlation between the stiffness and duration of the symptoms and the correlation between the stiffness and severity of the nerve compression were also calculated. Results The mean stiffness values of the multifidus muscle on the affected side (mean +/- SD: observer 1, 14.08 +/- 3.57 kPa; observer 2, 13.70 +/- 4.05 kPa) were significantly lower compared to the contralateral side (observer 1, 18.81 +/- 3.95 kPa; observer 2, 18.28 +/- 4.12 kPa; P < .001). The muscle stiffness had a moderate negative correlation with the duration of the symptoms and the severity of the nerve compression (observer 1, r = -0.535; observer 2, r = -0.458; P < .001). Conclusions The multifidus muscle on the ipsilateral side of the LDH showed reduced stiffness values, and stiffness values were negatively correlated with the disease duration and severity of the nerve compression. Further studies might reveal the potential role of SWE of the multifidus muscle in determining clinical outcomes and assessing effectiveness treatment in patients with LDH
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