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This paper presents a novel strategy for weed monitoring, using images taken with unmanned aerial vehicles (UAVs) and concepts of image analysis and machine learning. Weed control in precision agriculture designs site-specific treatments based on the coverage of weeds, where the key is to provide precise weed maps timely. Most traditional remote platforms, e.g. piloted planes or satellites, are, however,...
In order for any obesity therapy to be successful real behavior change by the individual is required. We present an implantable obesity therapy that combines gastric electrical stimulation for satiety with onboard sensors that provide self-monitoring for the patient and compliance reporting to the clinician. An algorithm for processing data from the onboard three axis accelerometer for use in physical...
Adaptive version of high gain observers for the strictly triangular systems subjected to constant unknown disturbances is proposed here. Adaptive feature is necessary due to the fact that unknown disturbance enters in a way that cannot be suppressed by the high gain technique. The developed observers are then applied to a culture of microorganism in a bioreactor, namely, to the model of the continuous...
Information on parasites of vertebrates living in terrestrial ecosystems as monitoring tools for heavy metal environmental pollution is scarce. The present study evaluates the potential suitability of the models Rattus rattus/Moniliformis moniliformis and Mus domesticus/Rodentolepis microstoma as promising bioindicator systems for cadmium and lead pollutions under natural conditions. The highest level...
Hawaii is experiencing a substantial increase in grid-tied PV installations and utility companies are concerned with the resulting grid management issues. To address these concerns and to enable the utilities to make informed decisions, the Hawaii Natural Energy Institute (HNEI) of the University of Hawaii initiated a PV test program that provides high-resolution data to characterize module and array...
At a time when technological advances are providing new sensor capabilities, novel network capabilities, long-range communications technologies and data interpreting and delivery formats via the World Wide Web, we never before had such opportunities to sense and analyse the environment around us. However, the challenges exist. While measurement and detection of environmental pollutants can be successful...
Resource management is a key challenge that service providers must adequately face in order to ensure their profitability. This paper describes a proof-of-concept framework for facilitating resource management in service providers, which allows reducing costs and at the same time fulfilling the quality of service agreed with the customers. This is accomplished by means of virtualization. Our approach...
One of the primary tools for performance analysis of multi-tier systems are standardized benchmarks. They are used to evaluate system behavior under different circumstances to assess whether a system can handle real workloads in a production environment. Such benchmarks are also helpful to resolve situations when a system has an unacceptable performance or even crashes. System administrators and developers...
In order to be profitable, service providers must be able to undertake complex management tasks such as provisioning, deployment, execution and adaptation in an autonomic way. This paper introduces a framework, the semantically-enhanced resource allocator (SERA), aimed to facilitate service provider management, reducing costs and at the same time fulfilling the QoS agreed with the customers. The SERA...
Wireless sensor networks are designed for a very wide, yet specific, purpose. Their components have processing and power limitations. Due to these limitations, decisions by running complex algorithms with the information collected by sensors must be done in components external to the WSN. This document presents a combination of WSN and p2p networks to ease the development of systems that rely on WSN...
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