31 documents found, page 1 of 4

Analysis and Modeling of Phenolic Compounds and Antioxidant Activity of Two Ban...

Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and ...

The maintenance paradigm has evolved over the last few years and companies that want to remain competitive in the market need to provide condition-based maintenance (CBM). The diagnosis and prognosis of the health status of equipment, predictive maintenance (PdM), are fundamental strategies to perform informed maintenance, increasing the company’s profit. This article aims to present a diagnosis and prognosis m...

Sunspot Detection Using YOLOv5 in Spectroheliograph H-Alpha Images

Solar activity has been subject to increasingly more research in the last decades. Its influence on life on Earth is now better understood. Solar winds impact the earth’s magnetic field and atmosphere. They can disrupt satellite communication and navigation tools and even electrical power grids and several other infrastructure crucial for our technology-based society. Coronal mass ejections (CMEs), solar energe...

Survey of Applications of Machine Learning for Fault Detection, Diagnosis and P...

An appropriate microclimate is one of the most important factors of a healthy and comfortable life. The microclimate of a place is determined by the temperature, humidity and speed of the air. Those factors determine how a person feels thermal comfort and, therefore, they play an essential role in people’s lives. Control of microclimate parameters is a very important topic for buildings, as well as greenhouses,...

O mutualismo entre liberal-conservadorismo e fascismo: disputa ideológica e cen...

O objetivo do artigo é analisar a dimensão ideológica no Brasil contemporâneo a partir da identificação de uma sobreposição de ideologias na sociedade brasileira, que se tornou hegemônica a partir das eleições de 2018. O artigo combina discussão teórica com evidências factuais. Partimos de uma discussão epistemológica acerca do conceito de ideologia, categorizamos o fascismo e o liberal-conservadorismo e analis...

Improved GRU prediction of paper pulp press variables using different pre-proce...

Predictive maintenance strategies are becoming increasingly more important with the increased needs for automation and digitalization within pulp and paper manufacturing sector.Hence, this study contributes to examine the most efficient pre-processing approaches for predicting sensory data trends based on Gated Recurrent Unit (GRU) neural networks. To validate the model, the data from two paper pulp presses wit...

Forecasting Steel Production in the World—Assessments Based on Shallow and Deep...

Forecasting algorithms have been used to support decision making in companies, and it is necessary to apply approaches that facilitate a good forecasting result. The present paper describes assessments based on a combination of different neural network models, tested to forecast steel production in the world. The main goal is to find the best machine learning model that fits the steel production data in the wor...

Study on Data Partition for Delimitation of Masses in Mammography

Mammography is the primary medical imaging method used for routine screening and early detection of breast cancer in women. However, the process of manually inspecting, detecting, and delimiting the tumoral massess in 2D images is a very time-consuming task, subject to human errors due to fatigue. Therefore, integrated computer-aided detection systems have been proposed, based on modern computer vision and mach...

Short and long forecast to implement predictive maintenance in a pulp industry

Predictive maintenance is very important for effective prevention of failures in an industry. The present paper describes a case study where a wood chip pump system was analyzed, and a predictive model was proposed. An Ishikawa diagram and FMECA are used to identify possible causes for system failure. The Chip Wood has several sensors installed to monitor the working conditions and system state. The authors pro...

Augmented Reality Maintenance Assistant Using YOLOv5

Maintenance professionals and other technical staff regularly need to learn to identify new parts in car engines and other equipment. The present work proposes a model of a task assistant based on a deep learning neural network. A YOLOv5 network is used for recognizing some of the constituent parts of an automobile. A dataset of car engine images was created and eight car parts were marked in the images. Then, ...