A5080117602- IoT and Edge/Fog Computing
- Vehicular Ad Hoc Networks (VANETs)
- Textile materials and evaluations
- Image Processing Techniques and Applications
- Traffic Prediction and Management Techniques
- Polymer crystallization and properties
- Advanced Steganography and Watermarking Techniques
- Advanced Aircraft Design and Technologies
- Smart Parking Systems Research
- Advanced Data and IoT Technologies
- Advanced Computing and Algorithms
- Combustion and flame dynamics
- Video Surveillance and Tracking Methods
- Image and Object Detection Techniques
- Advanced Sensor and Energy Harvesting Materials
- Maritime Transport Emissions and Efficiency
- Risk and Safety Analysis
- Tribology and Wear Analysis
- Digital Media Forensic Detection
- Ship Hydrodynamics and Maneuverability
- Spectroscopy and Laser Applications
- Data Management and Algorithms
- Fluid dynamics and aerodynamics studies
- Visual Attention and Saliency Detection
- Microplastics and Plastic Pollution
Universidade de Fortaleza
2007-2020
Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with intelligent self-adaptive sensing capabilities. Besides, boom portable devices has witnessed a huge breakthrough data driven vehicular platform. However, sensor-based Internet Things (IoT) are playing major role as edge nodes (ITS). Thus, due to high mobility/speed vehicles resource-constrained nature more packets will be lost power drain shorter...
Due to the high mobility, dynamic nature, and legacy vehicular networks, seamless connectivity reliability become a new challenge in software-defined internet of vehicles based intelligent transportation systems (ITS). Thus, effieicnt optimization link with proper monitoring speed ITS is very vital promote error-free trustable platform. Key issues related reliability, stability for networks are addressed. this study proposes novel reliable framework by developing stable, scalable (SSLO)...
Machine learning (ML) techniques in association to emerging sixth generation (6G) technologies, i.e., massive Internet of Things (IoT), big data analytics have caught too much attention from academia the business world since last few years due their high and fast computing capabilities. The role ML-based 6G is reshape imaginary idea into physical for resolving challenging issues energy, quality service (QoS), experience (QoE). Besides, ML with better reshapes industrial network box (NIB)...
Attribute reduction from decision tables has been much focused in recent years which the incremental methods of tradition rough set and extended models are mostly used for adding, removing, or updating object attribute set. However, when dealing with dynamic tables, existing do not recalculate information added into table. In this article, we propose some new using hybrid filter-wrapper fuzzy partition distance on Experimental results indicate that proposed algorithms decrease significantly...
Autonomous Underwater Vehicles (AUVs) are robots able to perform tasks without human intervention (remote operators). Research and development of this class vehicles has growing, due the excellent characteristics AUVs operate in different situations. Therefore, study aims analyze turbulent single fluid flow over geometric configurations an AUV hull, order obtain test geometry that generates lower drag force, which reduces energy consumption vehicle, thereby increasing their autonomy during...
Internet and other online media networks have emerged as the most important platforms for sharing of digital information. However, readily available editing tools provide an easy way adversaries to manipulate data affect decision-making in various industrial applications. This malicious modification content, which has reduced credibility information delivery, is a commonly prevalent issue hence needs serious attention. It also initiates extreme need cyber–physical systems (ICPS), can compare...
Vision sensors in Internet of Things (IoT)-connected smart cities play a vital role the exponential growth video data, thereby making its analysis and storage comparatively tough challenging. Those continuously generate data for 24 hours, which requires huge resources, dedicated networks sharing with centers, most importantly, it makes browsing, retrieval, event searching difficult time-consuming job. Video summarization (VS) is promising direction toward solution to these problems by...
Polímeros expandidos são bastante competitivos para serem utilizados como materiais de flutuabilidade, devido a sua baixa densidade. Em particular, eles se apresentam muito eficientes no desenvolvimento módulos flutuabilidade robôs submarinos do tipo ROV (Remote Operated Vehicle). Este trabalho descreve um estudo da absorção água em dois diferentes tipos polímeros (poliuretano e poliestireno expandido), meios aquosos (água mar destilada). Estudo sobre o efeito geometria das amostras com...
A pressão de colapso modelos numéricos dutos constituídos metal-compósito é avaliada através da utilização anéis cilíndricos comprimento unitário. Os foram desenvolvidos e analisados utilizando o método dos Elementos Finitos, do programa Solidworks Simulation Premium (2012). são uma camada interna alumínio (metal) outra externa material compósito à base fibra vidro (bidirecional) resina epóxi. modelada como um elástico-plástico, com encruamento não linear. ortotrópico elástico Imperfeições...