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Mostrando ítems 11-20 de 52
Um controlador Fuzzy-Adaptativo em cascata com Multi-Sensores para o aumento da exatidão na posição do AGV seguidor de linha
(Universidade Federal de São Carlos, 2023-05-29)
Automated Guided Vehicles (AGVs) have been used in manufacturing environments for over five decades. The technologies applied to AGVs advanced along with electronics and computing technology progress, which increased ...
Método de escolha de Scheduling para problemas de Job Shop Flexível utilizando um tomador de decisão Fuzzy
(Universidade Federal de São Carlos, 2022-11-11)
Among the scheduling problems encountered in production, there is the flexible job shop (FJSP),
which is an extension of the classic Job Shop. The FJSP is classified as an NP-Hard problem and can
be described as a set ...
A tool-supported approach to adapt web user interfaces considering the emotional state of the user
(Universidade Federal de São Carlos, 2022-03-10)
The field of Human-Computer Interaction aims at developing computational systems that place the user at the center of the their development, so he/she can have the best experience when interact with the final solution. ...
Microcontroladores: definição e implementação de controladores estruturalmente flexíveis para sistemas adaptativos
(Universidade Federal de São Carlos, 2022-10-14)
Context: This work starts from the hypothesis that controllers for adaptive systems that are partitioned into elements, in this work called microcontrollers, which are dedicated to each service involved in the stages of a ...
Método para classificação de padrões da Lagarta do cartucho (Spodoptera frugiperda) na cultura do milho baseado em processamento de imagens digitais e aprendizado de máquina
(Universidade Federal de São Carlos, 2021-12-29)
The detection, identification, and control of the Fall Armyworm (Spodoptera frugperda) pest
into the maize culture (Zea mays) are greatly dependent on the human factor. Currently, such
control occurs mainly through the ...
Método para contagem de plantas de milho baseado no processamento digital de imagens multiespectrais utilizando Drones em ambiente de campo
(Universidade Federal de São Carlos, 2022-03-15)
The processing of multispectral images acquired with an embedded camera in unmanned aerial vehicles (Drones) has brought new opportunities for precision agriculture. In such a context, this work presents a method for ...
Quantificação da tortuosidade de vasos sanguíneos: definições e influência das etapas de realce e segmentação
(Universidade Federal de São Carlos, 2021-11-08)
Morphological features of blood vessels can be used as markers of several pathologies affecting the tissues of organisms. Among these features, tortuosity displays a vital role in the study and diagnostic of conditions ...
Classificação de retornos utilizando dados de alta frequência no mercado de bitcoins
(Universidade Federal de São Carlos, 2020-03-10)
In the cryptocurrency market, Bitcoin stands out as the most accepted traded in the world. However, due to its high volatility, the prediction of price behaviors, in special, the trend classification, becomes a challenge ...
Método de reconstrução tomográfica de amostras agrícolas com o emprego de técnicas big data
(Universidade Federal de São Carlos, 2020-01-31)
A new method of high resolution tomographic reconstruction of agricultural samples is presented, which uses the spectral density of X-ray tomographic projections as a criterion to minimize processing time and obtain good ...
Extração de características e aprendizado não-supervisionados em imagens hiperespectrais
(Universidade Federal de São Carlos, 2020-04-29)
Hyperspectral imagery have hundreds of bands and greater subtle differences discrimination capacity in compariosion with multispectral imagery, which benefits precision applications. However, inherent high spectral ...