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Showing 1 to 4 of 4 for “"Sensor web"”.

  1. Integration of component-based frameworks with sensor modeling languages for the sensor web

    … this thesis is to develop an easily modifiable sensor system. To achieve this goal SensorML (an XML based sensor language) is combined with Java Beans (a component model language). An important part of SensorML is its process model. Each sensor in the real world is depicted in SensorML by a …

    uoit Repository record for Integration of component-based frameworks with sensor modeling languages for the sensor web (opens in a new tab)

  2. Using sensor web technologies to help predict and monitor floods in urban areas

    … As the result of improved communication, sensor, software and computing capabilities, the use of sensor networks and sensor web for predicting and monitoring environment have been considered in recent years. In order for sensor data such as sensor measurements, sensor descriptions and …

    cape-town Repository record for Using sensor web technologies to help predict and monitor floods in urban areas (opens in a new tab)

  3. Intrusion Detection In Wireless Sensor Networks

    There are several applications that use sensor motes and researchers continue to explore additional applications. For this particular application of detecting the movement of humans through the sensor field, a set of Berkley mica2 motes on TinyOS operating system is used. Different sensors such as …

    ucf

  4. Multi-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking

    … use pre-existing instrumentation/datasets as a sensor web of sorts. This dissertation explores the efficacy of methodologies for for generic data fusion, image segmentation, and object identification on multi-modal, remotely sensed data.</p> <p>In Chapter 1, methodologies, background, and the …

    chapman Repository record for Multi-Modal Data Fusion, Image Segmentation, and Object Identification using Unsupervised Machine Learning: Conception, Validation, Applications, and a Basis for Multi-Modal Object Detection and Tracking (opens in a new tab)