Inventi Impact - Machine Vision
Current Issue : April - June 2020
Volume : 2020
Issue Number : 2
Articles : 5 Articles
Articles
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Inventi:emv/31032/20
An Intelligent System for Real-Time Condition Monitoring of Tower Cranes
Reliability and safety are major issues in tower crane applications. A new adaptive neurofuzzy system is developed in this work for real-time health condition monitoring of tower cranes, especially for hoist gearboxes. Vibration signals are measured using a wireless smart sensor system. Fault detect....
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Inventi:emv/31033/20
Classification of Low Frequency Signals Emitted by Power Transformers Using Sensors and Machine Learning Methods
This paper proposes a method of automatically detecting and classifying low frequency noise generated by power transformers using sensors and dedicated machine learning algorithms. The method applies the frequency spectra of sound pressure levels generated during operation by transformers in a real ....
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Inventi:emv/31034/20
Categorization of Mouse Ultrasonic Vocalizations Using Machine Learning Techniques
A study of the ultrasonic vocalizations of several adult male BALB/c mice in the presence of a female, is undertaken in this study. A total of 179 distinct ultrasonic syllables referred to as “phonemes” are isolated, and in the resulting dataset, k-means and agglomerative clustering algorithms a....
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Inventi:emv/31035/20
A Novel Method for Night-Time Single Image Dehazing
Images acquired under deprived weather environment are frequently corrupted due to the presence of haze, mist, fog or other aerosols in a form of noise. Haze elimination is essential in computer vision and computational photography applications. Generally, there is the existence of numerous approach....
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Inventi:emv/31036/20
Robot Motion Control via an EEG-Based Brain–Computer Interface by Using Neural Networks and Alpha Brainwaves
Modern achievements accomplished in both cognitive neuroscience and human–machine interaction technologies have enhanced the ability to control devices with the human brain by using Brain–Computer Interface systems. Particularly, the development of brain-controlled mobile robots is very importan....
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