All Outputs (26)

Health state classification of a spherical tank using a hybrid bag of features and K-nearest neighbor. (2020)
Journal Article
HASAN, M.J., KIM, J., KIM, C.H. and KIM, J.-M. 2020. Health state classification of a spherical tank using a hybrid bag of features and K-nearest neighbor. Applied sciences [online], 10(7), article 2525. Available from: https://doi.org/10.3390/app10072525

Feature analysis puts a great impact in determining the various health conditions of mechanical vessels. To achieve balance between traditional feature extraction and the automated feature selection process, a hybrid bag of features (HBoF) is designe... Read More about Health state classification of a spherical tank using a hybrid bag of features and K-nearest neighbor..

A hybrid feature pool-based emotional stress state detection algorithm using EEG signals. (2019)
Journal Article
HASAN, M.J. and KIM, J.-M. 2019. A hybrid feature pool-based emotional stress state detection algorithm using EEG signals. Brain sciences [online], 9(12), article number 376. Available from: https://doi.org/10.3390/brainsci9120376

Human stress analysis using electroencephalogram (EEG) signals requires a detailed and domain‐specific information pool to develop an effective machine learning model. In this study, a multi‐domain hybrid feature pool is designed to identify most of... Read More about A hybrid feature pool-based emotional stress state detection algorithm using EEG signals..

Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions. (2019)
Journal Article
HASAN, M.J., ISLAM, M.M.M. and KIM, J.-M. 2019. Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions. Measurement [online], 138, pages 620-631. Available from: https://doi.org/10.1016/j.measurement.2019.02.075

Incipient fault diagnosis of a bearing requires robust feature representation for an accurate condition-based monitoring system. Existing fault diagnosis schemes are mostly confined to manual features and traditional machine learning approaches such... Read More about Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions..

Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm. (2019)
Journal Article
HASAN, M.J. and KIM, J.-M. 2019. Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm. Energies [online], 12(6): fault diagnosis and fault-tolerant control, article 991. Available from: https://doi.org/10.3390/en12060991

Fault detection in metallic structures requires a detailed and discriminative feature pool creation mechanism to develop an effective condition monitoring system. Traditional fault detection methods incorporate handcrafted features either from the ti... Read More about Fault detection of a spherical tank using a genetic algorithm-based hybrid feature pool and k-nearest neighbor algorithm..

Bearing fault diagnosis under variable rotational speeds using Stockwell transform-based vibration imaging and transfer learning. (2018)
Journal Article
HASAN, M.J. and KIM, J.-M. 2018. Bearing fault diagnosis under variable rotational speeds using Stockwell transform-based vibration imaging and transfer learning. Applied sciences [online], 8(12): fault detection and diagnosis in mechatronics systems, article 2357. Available from: https://doi.org/10.3390/app8122357

In this paper, discrete orthonormal Stockwell transform (DOST)-based vibration imaging is proposed as a preprocessing step for supporting load and rotational speed invariant scenarios for signals of various health conditions. For any health condition... Read More about Bearing fault diagnosis under variable rotational speeds using Stockwell transform-based vibration imaging and transfer learning..

A new approach of iris detection and recognition. (2017)
Journal Article
BISWAS, R., UDDIN, J. and HASAN, M.J. 2017. A new approach of iris detection and recognition. International journal of electrical and computer engineering (IJECE) [online], 7(5), pages 2530-2536. Available from: http://doi.org/10.11591/ijece.v7i5.pp2530-2536

This paper proposes an IRIS recognition and detection model for measuring the e-security. This proposed model consists of the following blocks: Segmentation and normalization, feature encoding and feature extraction, and classification. In first phas... Read More about A new approach of iris detection and recognition..