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Bala, Diponkor
- Efficient Classification Techniques of Human Activities from Smartphone Sensor Data using Machine Learning Algorithms
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Authors
Affiliations
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
1 Department of Computer Science & Engineering, Islamic University, Kushtia, BD
Source
International Journal of Knowledge Based Computer System, Vol 8, No 1&2 (2020), Pagination: 1-10Abstract
Increasing use of accelerometer and protractor sensors in recent years has created a field of study for the definition of human activities. This issue is tried to be solved by using machine learning methods. For this, it is solved by extracting different properties from the obtained signals, obtaining the characteristics specific to the activity and classifying these properties. In this study, the time and frequency domain properties of 4 different human activities were extracted, then a pre-treatment step was applied in accordance with the obtained feature set, and then the size was reduced with PCA and Fisher ‘LDA methods. The k-NN classifier and perceptron classifiers were designed for the obtained feature set and the classification process was performed. In this study, the classification success of these methods using different parameters has been examined and the results are shown.Keywords
Feature Extraction, Fisher’s LDA, Gradient Descent Method, Human Activity Identification, Kessler’s Reconstruction, k-NN Classifier, PCAReferences
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- Simulation and Performance Analysis of OFDM System based on Non-Fading AWGN Channel
Abstract Views :190 |
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Authors
Affiliations
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia, IN
1 Department of Computer Science and Engineering, Islamic University, Kushtia, BD
2 Department of Computer Science and Engineering, Islamic University, Kushtia, IN
Source
International Journal of Knowledge Based Computer System, Vol 10, No 1 (2022), Pagination: 1-9Abstract
With the development of 4G network technology, gradually 5G wireless communication technology has also been derived and has been studied in deeply. 5G technology has been developed with based on 4G technology to strengthen its advantages, discard its shortcomings, and obtain further breakthroughs in functions. Due to the development of 4G technology, communication services such as downloading and transmitting large-volume data are being accomplished at an enormous speed. Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier data transmission system that converts high-speed data streams into multiple parallel low-speed data streams by serial/parallel conversion, and then distributes them to sub channels on mutually orthogonal subcarriers of different frequencies for transmission. This technology has been recognized by the industry as the core technology of the new generation of wireless mobile communication systems. This paper mainly discusses the principle of OFDM-based LTE communication technology, and multi-channel simulation and analysis the performance of OFDM transmission system based on the MATLAB platform.Keywords
AWGN, LTE, OFDM, Wireless CommunicationReferences
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