All Outputs (47)

A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification (2018)
Journal Article
Jan, S. U., & Koo, I. (2018). A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification. Journal of Sensors, 2018, Article 7467418. https://doi.org/10.1155/2018/7467418

The efficiency of a binary support vector machine- (SVM-) based classifier depends on the combination and the number of input features extracted from raw signals. Sometimes, a combination of individual good features does not perform well in discrimin... Read More about A Novel Feature Selection Scheme and a Diversified-Input SVM-Based Classifier for Sensor Fault Classification.

Throughput Maximization Using an SVM for Multi-Class Hypothesis-Based Spectrum Sensing in Cognitive Radio (2018)
Journal Article
Jan, S. U., Vu, V.-H., & Koo, I. (2018). Throughput Maximization Using an SVM for Multi-Class Hypothesis-Based Spectrum Sensing in Cognitive Radio. Applied Sciences, 8(3), Article 421. https://doi.org/10.3390/app8030421

A framework of spectrum sensing with a multi-class hypothesis is proposed to maximize the achievable throughput in cognitive radio networks. The energy range of a sensing signal under the hypothesis that the primary user is absent (in a conventional... Read More about Throughput Maximization Using an SVM for Multi-Class Hypothesis-Based Spectrum Sensing in Cognitive Radio.

Sensor faults detection and classification using SVM with diverse features (2017)
Presentation / Conference Contribution
Jan, S. U., & Koo, I. S. (2017, October). Sensor faults detection and classification using SVM with diverse features. Presented at 2017 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea

Sensors in industrial systems fault frequently leading to serious consequences regarding cost and safety. The authors propose support vector machine-based classifier with diverse time- and frequency-domain feature models to detect and classify these... Read More about Sensor faults detection and classification using SVM with diverse features.

Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features (2017)
Journal Article
Jan, S. U., Lee, Y.-D., Shin, J., & Koo, I. (2017). Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features. IEEE Access, 5, 8682-8690. https://doi.org/10.1109/access.2017.2705644

This paper deals with the problem of fault detection and diagnosis in sensors considering erratic, drift, hard-over, spike, and stuck faults. The data set containing samples of the above mentioned fault signals was acquired as follows: normal data si... Read More about Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features.

Application of Navigating System based on Bluetooth Smart (2017)
Journal Article
Lee, Y., Jan, S. U., & Koo, I. (2017). Application of Navigating System based on Bluetooth Smart. Journal of the Institute of Internet, Broadcasting and Communication, 17(1), 69-76. https://doi.org/10.7236/jiibc.2017.17.1.69

Bluetooth Low Energy (BLE), also known as Bluetooth Smart, has ultra-low power consumption; in fact, BLE-enabled devices can run on a single coin cell battery for several years. In addition, BLE can estimate the approximate distance between two devi... Read More about Application of Navigating System based on Bluetooth Smart.

Comparative analysis of DIPPM scheme for Visible Light Communications (2015)
Presentation / Conference Contribution
Jan, S. U., Lee, Y.-D., & Koo, I. (2015, December). Comparative analysis of DIPPM scheme for Visible Light Communications. Presented at 2015 International Conference on Emerging Technologies (ICET), Peshawar, Pakistan

Visible Light Communications (VLC) uses solid-state light sources for data transmission in addition to its primary function of illumination. The dual functionality of light source provokes some challenges for VLC including dimming control and perceiv... Read More about Comparative analysis of DIPPM scheme for Visible Light Communications.

Modeling and Analysis of DIPPM: A New Modulation Scheme for Visible Light Communications (2015)
Journal Article
Jan, S. U., Lee, Y.-D., & Koo, I. (2015). Modeling and Analysis of DIPPM: A New Modulation Scheme for Visible Light Communications. Journal of Sensors, 2015, Article 963296. https://doi.org/10.1155/2015/963296

Visible Light Communication (VLC) uses an Intensity-Modulation and Direct-Detection (IM/DD) scheme to transmit data. However, the light source used in VLC systems is continuously switched on and off quickly, resulting in flickering. In addition, rece... Read More about Modeling and Analysis of DIPPM: A New Modulation Scheme for Visible Light Communications.