Home |
Aim & Scope | Editorial Board | Call for Paper | Instruction for Authors |
Contact Us | Open Access | Indexing & Archiving |
Help & Support | Downloads | Paper Submission |
S.No. | Article Title & Authors (Volume 16, Issue 2, April - 2023) | Page Nos. | Status |
1. | Impedance-based Structural Health Monitoring and Kohonen Nets for Damage Detection Alexsander Lindolfo de Lima, Stanley Washington F. Rezende, Quintiliano S. S. Nomelini, Jose Waldemar Silva, Roberto M. Finzi Neto, Carlos A. Gallo and Jose dos Reis V. Moura Jr International Journal of Advances in Engineering & Technology (IJAET), Volume 16 Issue 2, pp. 20-34, April 2023. ABSTRACT Several expensive structures have been developed in the past century. Thus, corrective, preventive, and predictive maintenance techniques were proposed based on the ability to investigate a monitoring parameter up to the inflection point of the component's useful life. Consequently, several structural health assessment methodologies have been implemented using smart sensors. In general, damage classification models in this kind of monitoring have a limitation due to the influence of temperature on piezoelectric sensors, requiring a temperature compensation step (normalization). In this work, a Kohonen map is used with a Principal Component Analysis to demonstrate the potential of this kind of model in eliminating the compensation step and classifying the damage correctly. For the case study, an aluminum beam instrumented with a PZT (Pb-lead Zirconate Titanate) patch was used and subjected to different temperatures in a climatic chamber in 11 levels of temperature. The test structure had thickness removals with seven levels at the opposite end of the beam with the sensor. Several parameters of the models were changed and demonstrated the availability to use the proposed methodology as an approach to the temperature-independent damage model. In conclusion, this type of result enables the use of this model in real structural monitoring. |
20-34 | Online |
2. | Nurses' Performance in Risk Classification in Emergency Care Units Laysa Balieiro Pinheiro, Marcos Renan Miranda Neres, Luiz Fernando Balieiro Pinheiro, Walter Pereira de Matos, Caio César Chaves de Lucena, and Erick Bruno International Journal of Advances in Engineering & Technology (IJAET), Volume 16 Issue 2, pp. 35-45, April 2023. ABSTRACT This study aims to identify, in the literature, the role of nurses in risk classification in emergency care units - 24 hours (ECU). integrative review, performed from the databases LILACS, MEDLINE, SCIELO, BDENF and COLLECIONA SUS, with articles published from 2009 to 2019, using the descriptors in Health: Emergency Nursing; Emergency health services; Patient Screening, with the final sample consisting of 10 productions. There was a prevalence of the BDENF - Nursing Database, totaling 60%. Regarding the temporal distribution, it was noticed that the publications occurred mainly in 2017 (40%) and 2016 (40%), followed by 2014 (20%). As for the methodology approached 40% of the studies used the quantitative approach, 40% the qualitative and 20% the methodological approach. The results allowed us to identify the following categories: Humanization in the services of Emergency Care Units-24hs; The work process of nurses in ECU; Training of professional nurses and continuing education in ECU. |
35-45 | Online |