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Panuwat J. added photos to project Implementation and Design of the AU Self-Balancing Bicycle (AUSB)

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Implementation and Design of the AU Self-Balancing Bicycle (AUSB)

This project is focused on designing a mechanical structure of an unmanned bicycle and a controller by using a classic control, PD control and applies it to AU Self-balancing Bicycle (AUSB). The main objective of this project is to control the balancing ability of the bicycle automatically. The main concept applying in this project is the Gyroscopic effect. Data obtained from the Gyroscope sensor will be the process variable (θpv) of the controlling system, which will be captured in a dsPIC microcontroller. This microcontroller will control the output in term of percentage of Pulse-Width-Modulation (PWM) with the value appropriate due to the error obtained from the Gyroscope sensor and send this output to control the direction of the flywheel.

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Panuwat J. created project Implementation and Design of the AU Self-Balancing Bicycle (AUSB)

Medium 96c74bf5 a806 418a ab52 337b5423a439

Implementation and Design of the AU Self-Balancing Bicycle (AUSB)

This project is focused on designing a mechanical structure of an unmanned bicycle and a controller by using a classic control, PD control and applies it to AU Self-balancing Bicycle (AUSB). The main objective of this project is to control the balancing ability of the bicycle automatically. The main concept applying in this project is the Gyroscopic effect. Data obtained from the Gyroscope sensor will be the process variable (θpv) of the controlling system, which will be captured in a dsPIC microcontroller. This microcontroller will control the output in term of percentage of Pulse-Width-Modulation (PWM) with the value appropriate due to the error obtained from the Gyroscope sensor and send this output to control the direction of the flywheel.

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Panuwat J. added photos to project Brain Connectivity Analysis with Classification

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Brain Connectivity Analysis with Classification

This research aims to take full advantage of connectivity analysis, where the method can be used to reveal and extract the hidden features presented in neurological disorders. The study would improve the fundamental understanding of the disease and enhance the diagnosis significantly. Functional connectivity extracted from epileptic patients will be explored in different frequency bands and compared with the control population to generate distinct patterns that can be used as a key parameters of classification algorithm. The comparison of connectivity patterns for different stages of seizure will be investigated as well.

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Panuwat J. created project Brain Connectivity Analysis with Classification

Medium 17135bfe bda1 4dab 94d7 4ad170fc2b26

Brain Connectivity Analysis with Classification

This research aims to take full advantage of connectivity analysis, where the method can be used to reveal and extract the hidden features presented in neurological disorders. The study would improve the fundamental understanding of the disease and enhance the diagnosis significantly. Functional connectivity extracted from epileptic patients will be explored in different frequency bands and compared with the control population to generate distinct patterns that can be used as a key parameters of classification algorithm. The comparison of connectivity patterns for different stages of seizure will be investigated as well.

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Panuwat J. added photos to project Academic Research Paper Classification

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Academic Research Paper Classification

Approaching into a new area of research requires a tremendous energy and enthusiasm from researchers due to a high amount of research papers, articles, and citing sources along with numerous fields of interest spread across the database. Even finding the suitable and sufficient research materials such as conference papers or journals is one of the critical abilities, but this requires years of experience. With the tools such as, Google Scholar Search Engine and journals’ library, researchers perform more thoroughly with selecting papers related to their works but still, skimming and browsing through the abstract or even an entire paper is an extremely time-consuming task. With Natural Language Processing (NLP) combining with Machine Learning, the task of comparing between the selected papers and the desire field of interest might be significantly improved.

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Panuwat J. created project Academic Research Paper Classification

Medium 13ae3092 8040 43bc a844 7a6fb84b96b8

Academic Research Paper Classification

Approaching into a new area of research requires a tremendous energy and enthusiasm from researchers due to a high amount of research papers, articles, and citing sources along with numerous fields of interest spread across the database. Even finding the suitable and sufficient research materials such as conference papers or journals is one of the critical abilities, but this requires years of experience. With the tools such as, Google Scholar Search Engine and journals’ library, researchers perform more thoroughly with selecting papers related to their works but still, skimming and browsing through the abstract or even an entire paper is an extremely time-consuming task. With Natural Language Processing (NLP) combining with Machine Learning, the task of comparing between the selected papers and the desire field of interest might be significantly improved.

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