Coleção de Artigos Acadêmicos

Agora exibindo 1 - 2 de 2

Multi-UAV Collaborative System for the Identification of Surface Cyanobacterial Blooms and Aquatic Macrophytes
(2024) Vivaldini, Kelen C. T.; Pazelli, Tatiana F. P. A. T.; Rocha, Lidia G. S.; Santos, Igor A. D.; Caldas, Kenny A. Q.; Soler, Diego Pavan; Benevides, João R. S.; Simplício, Paulo V. G.; Hernandes, André C.; Andrade, Kleber O.; Kim, Pedro H. C.; Alvarez, Isaac G.; Nascimento, Eduardo V.; Santos, Marcela A. A.; Almeida, Aline G.; Cavalcanti, Lucas H. G.; Inoue, Roberto S.; Terra, Marco H.; Becker, Marcelo
Aquatic macrophyte is a generic denomination for macro-algae with active photosynthetic parts that remain totally or partially submerged in fresh or salty water, in rivers and lakes. Currently, algae monitoring is carried out manually by collecting samples to send for laboratory analysis. In most cases, harmful algal blooms are already widespread when the results are disclosed. This paper proposes the application of a team of heterogeneous Unmanned Aerial Vehicles (UAVs) that cooperate to increase the system’s overall observation range and reduce the reaction time. Leader UAV, featured with a deep-learning based vision system, covers a pre-determined region and determines high-interest inspection areas in real-time. Through a multi-robot Informative Path Planning (MIPP) approach, the leader UAV coordinates a team of customized quadcopter (named ART2) to reach points of interest, managing their route dynamically. ART2s are able to land on water, and collect and test samples in situ by applying phosphorescence sensors. While path planning, task assignment, and route management are centralized operations, each UAV is conducted by a decentralized trajectory tracking control. Simulations performed in a realistic environment implemented on the Unity platform and experimental proof of concepts demonstrated the reliability of the proposed approach. The presented multi-UAV framework with heterogeneous agents also enables the reconfiguration and expansion of specific objectives, in addition to minimizing the task completion time by executing different processes in parallel. This preventive monitoring enables a plague control action in advance, solving it faster, cheaper, and more effectively.
Networking and developing collaborative relationships: evidence of the auto-part industry of Brazil
(2011) DANNY PIMENTEL CLARO; PRISCILA BORIN DE OLIVEIRA CLARO
Purpose – This study aims to assess the moderating effect of the business network on the effects of between relational behavior and the effects of transaction-specific investments on joint actions. Design/methodology/approach – The study was a survey-based field study designed using theoretical support from marketing channels, transaction cost economics and network perspectives. Findings – The results show the importance of relational behavior and the network in coordinating joint actions, and this has relevant managerial implications for the coordination of a collaborative relationship. The characteristics of the relationship, its length as well as the size of each partner affect the collaborative efforts of the partners. Practical implications – Firms and managers should understand not only the dyadic relationships they are in but also the network structure. Dyadic characteristics affect collaboration, while the network also has effects on the collaboration of partners in vulnerable positions. Originality/value – The paper points out the role of the network as a countervailing safeguard for dyadic TSIs and network stability. Dyadic relationships are supported by the network.

Coleção de Artigos Acadêmicos

Navegar

Filtros

Configurações

Ordenar por

Resultados por página

Resultados da Pesquisa