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Author: search.filters.author.Nootyaskool, SupakitSubject: search.filters.subject.Hidden Markov Models

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    Smart collar design to predict cow behavior
    (2020-11-04)
    Nootyaskool, Supakit
    ;
    Ounsrimung, Pimolorat
    Productivity from agriculture and farming is one major to drive Thailand's economy. Low price sensors and easy to make the Internet of Thing devices for making the data collector applied in various fields such as industry, communication, and transportation. However, smart application in agriculture does not apply widespread usage. This research proposed the detail design of the smart cow collar to use monitoring cow healthy. Data of walking and scraping of the cow sent to collect on the server and report to the user known the cow healthy by relating to the behavior. The purpose of the device helps the cow keeper reducing the monitoring of cow behaviors and it can predict illness and vital of the cow occurring in the future. For predicting part, design by the data from the gyroscopes after preparing send to Hidden Markov Models to predict cow behavior, however, this paper mainly focuses on the detail building the cow collar and creating the prototype device, then testing on the real environment.
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    Hidden Markov Models predict foreign exchange rate
    (2015-01-15)
    Nootyaskool, Supakit
    ;
    Choengtong, Wuttichow
    This paper presents the prediction Thai baht by using Hidden Markov Models (HMM) with which the prediction model uses four factors, dollar index, interest rate, inflation rate and economic growth. The main idea of this work is a technique of encoding four factors into one observation sequence to train HMM. One result of prediction data will present four factors after decoding. The experiment is done using the data-by-day from 2002 to 2013 and showed that the technique has the mean percentage error of 0.167% to predict Thai currency exchange.