Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This issue of Proceedings gathers papers presented at XOVETIC2019 (A Coruña, Spain, 5-6 September 2019), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC(High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G and others areas from the field of ICT (Information Communications Technology), and offering a platform to present the results of their research to a national audience in Galicia and north of Portugal. This second edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection. The conference is co-funded by Xunta de Galicia and European Union. European Regional Development Fund (ERDF).

Artificial intelligence --- Big Data --- Machine learning --- High Performance Computing (HPC) --- Optimization --- data recovery --- Bioinformatics --- Medical informatics --- Cybersecurity --- Geographic information systems --- Smart Systems --- Recommendation systems --- artificial vision --- movement localization and monitoring --- Distributed systems --- Applied Mathematics --- Statistics and Operative Investigation

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Wireless sensor/actuators networks (WSANs) are being increasingly used in a panoply of applications, such as industrial automation, process control, ambient assisted living, structural health monitoring, and homeland security. Most of these applications require specific quality-of-service (QoS) guarantees from their underlying communication infrastructures (regardless of their wireless, wired, or hybrid nature).This book gathers together an extremely rich set of contributions, addressing several WSAN domains and sharing QoS as a common denominator. Eight papers have made it through a rigorous and iterative peer review process (three reviews per paper, at least two review rounds), involving 38 authors from all over the world (North and South America, Europe, Asia, and Australia) from academia, industry, and the military. Each paper features at least one reference author which is highly reputed in this scientific domain, totaling over 100,000 citations altogether.

quality-of-service --- QoS --- reliability --- timeliness --- real-time --- mobility --- scalability --- wireless sensor networks --- sensor/actuator networks --- networked embedded systems --- low-power wireless networks --- energy-aware protocols --- cyber-physical systems --- routing --- MAC --- IEEE 802.15.4e --- network calculus --- LoRa --- SigFox --- battery-powered devices --- unmanned aerial vehicles, UAVs --- swarms communication --- RSSI localization --- scheduling --- decision-centric resource management

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Active technological development has fuelled rapid growth in the number of Unmanned Aerial Vehicle (UAV) platforms being deployed around the globe. Novel UAV platforms, UAV-based sensors, robotic sensing and imaging techniques, the development of processing workflows, as well as the capacity of ultra-high temporal and spatial resolution data, provide both opportunities and challenges that will allow engineers and scientists to address novel and important scientific questions in UAV and sensor design, remote sensing and environmental monitoring.This work features papers on UAV sensor design, improvements in UAV sensor technology, obstacle detection, methods for measuring optical flow, target tracking, gimbal influence on the stability of UAV images, augmented reality tools, segmentation in digital surface models for 3D reconstruction, detection, location and grasping objects, multi-target localization, vision-based tracking in cooperative multi-UAV systems, noise suppression techniques , rectification for oblique images, two-UAV communication system, fuzzy-based hybrid control algorithms, pedestrian detection and tracking as well as a range of atmospheric, geological, , agricultural, ecological, reef, wildlife, building and construction, coastal area coverage, search and rescue (SAR), water plume temperature measurements, aeromagnetic and archaeological surveys applications

UAV-Based Remote Sensing --- drones --- aerial robotics --- environmental science --- remote sensing --- UAV images --- augmented reality tools --- segmentation in digital surface models for 3D reconstruction --- detection --- location and grasping objects --- multi-target localization --- vision-based tracking in cooperative multi-UAV systems --- noise suppression techniques --- rectification for oblique images --- two-UAV communication system --- fuzzy-based hybrid control algorithms --- pedestrian detection and tracking as well as a range of atmospheric --- geological --- agricultural --- ecological --- reef --- wildlife --- building and construction --- coastal area coverage --- search and rescue (SAR) --- water plume temperature measurements --- aeromagnetic and archaeological surveys

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The rapid development and growth of unmanned aerial vehicles (UAVs) as a remote sensing platform, as well as advances in the miniaturization of instrumentation and data systems, have resulted in an increasing uptake of this technology in the environmental and remote sensing science communities.Although tough regulations across the globe may still limit the broader use of UAVs, their use in precision agriculture, ecology, atmospheric research, disaster response biosecurity, ecological and reef monitoring, forestry, fire monitoring, quick response measurements for emergency disaster, Earth science research, volcanic gas sampling, monitoring of gas pipelines, mining plumes, humanitarian observations and biological/chemo-sensing tasks continues to increase.This book provides a forum for high-quality peer-reviewed papers that broaden the awareness and understanding of UAV developments, applications of UAVs for remote sensing, and associated developments in sensor technology, data processing and communications, and UAV system design and sensing capabilities.The book covers the following topics:• improvements in UAV sensor technology;• UAV sensor design;• descriptions of processing algorithms applied to UAV-based imagery datasets;• the use of optical, multi-spectral, hyperspectral, laser, and optical SAR technologies onboard UAVs;• Artificial intelligence and data mining-based strategies from UAV-acquired datasets;• UAV onboard data storage, transmission, and retrieval;• multiple platform UAV, AUV, and ground robot networks;• UAV sensor applications including: precision agriculture, construction, mining, pest detection, forestry, wildlife tracking, atmosphere, wildfire monitoring and prevention, reef monitoring, Earth science research pollution monitoring, micro-climates, land use precision agriculture, ecology, atmospheric research, quick response measurements for emergency disaster.

UAV-Based Remote Sensing --- drones --- aerial robotics --- environmental science --- remote sensing --- UAV images --- augmented reality tools --- segmentation in digital surface models for 3D reconstruction --- detection --- location and grasping objects --- multi-target localization --- vision-based tracking in cooperative multi-UAV systems --- noise suppression techniques --- rectification for oblique images --- two-UAV communication system --- fuzzy-based hybrid control algorithms --- pedestrian detection and tracking as well as a range of atmospheric --- geological --- agricultural --- ecological --- reef --- wildlife --- building and construction --- coastal area coverage --- search and rescue (SAR) --- water plume temperature measurements --- aeromagnetic and archaeological surveys

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Electric power systems around the world are changing in terms of structure, operation, management and ownership due to technical, financial, and ideological reasons. Power systems keep on expanding in terms of geographical areas, asset additions, and the penetration of new technologies in generation, transmission, and distribution. The conventional methods for solving the power system design, planning, operation, and control problems have been extensively used for different applications, but these methods suffer from several difficulties, thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineer’s perspective. Thorough, well-organised, and up-to-date, it examines in detail some of the important aspects of this very exciting and rapidly emerging technology, including machine learning, particle swarm optimization, genetic algorithms, and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems, this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.

defect detection --- glass insulator --- localization --- self-shattering --- spatial features --- particle swarm optimization --- particle update mode --- inertia weight --- reactive power optimization --- Combustion efficiency --- NOx emissions constraints --- boiler load constraints --- least square support vector machine --- differential evolution algorithm --- model predictive control --- incipient cable failure --- VMD --- feature extraction --- CNN --- economic load dispatch --- emission dispatch --- combined economic emission/environmental dispatch --- particle swarm optimization --- genetic algorithm --- penalty factor approach --- long short term memory (LSTM) --- genetic algorithm (GA) --- short term load forecasting (STLF) --- electricity load forecasting --- multivariate time series --- grid observability --- active distribution system --- meter allocation --- parameter estimation