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107 results on '"Horanont, Teerayut"'

1. Digital Twins in Farming with the Implementation of Agricultural Technologies

Author

Thapa, Aakash, Horanont, Teerayut, Brilly, Mitja, Advisory Editor, Davis, Richard A., Advisory Editor, Hoalst-Pullen, Nancy, Advisory Editor, Leitner, Michael, Advisory Editor, Patterson, Mark W., Advisory Editor, Veress, Márton, Advisory Editor, Boonpook, Wuttichai, editor, Lin, Zhaohui, editor, Meksangsouy, Pakorn, editor, and Wetchayont, Parichat, editor

Published
2023
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2. Machine Learning Approach with Environmental Pollution and Geospatial Information for Mapping Poverty in Thailand

Author

Isnan, Mahmud, Horanont, Teerayut, Plangprasopchok, Anon, Brilly, Mitja, Advisory Editor, Davis, Richard A., Advisory Editor, Hoalst-Pullen, Nancy, Advisory Editor, Leitner, Michael, Advisory Editor, Patterson, Mark W., Advisory Editor, Veress, Márton, Advisory Editor, Boonpook, Wuttichai, editor, Lin, Zhaohui, editor, Meksangsouy, Pakorn, editor, and Wetchayont, Parichat, editor

Published
2023
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3. Integration of Machine Learning Algorithms and Time-Series Satellite Images on Land Use/Land Cover Mapping with Google Earth Engine

Author

Logavitool, Guntaga, Intarat, Kritchayan, Horanont, Teerayut, Brilly, Mitja, Advisory Editor, Davis, Richard A., Advisory Editor, Hoalst-Pullen, Nancy, Advisory Editor, Leitner, Michael, Advisory Editor, Patterson, Mark W., Advisory Editor, Veress, Márton, Advisory Editor, Boonpook, Wuttichai, editor, Lin, Zhaohui, editor, Meksangsouy, Pakorn, editor, and Wetchayont, Parichat, editor

Published
2023
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7. Machine-Learning Microclimate Forecasting for Adaptive Equipment Control via Web Integration in Open-Ventilated Greenhouses.

Author

Thwin, Kyaw Maung Maung, Horanont, Teerayut, and Phatrapornnant, Teera

Subjects
*CARBON dioxide detectors, *ADAPTIVE control systems, *OPERATING costs, *MACHINE learning, *GREENHOUSES, DEVELOPING countries
Abstract

Open-ventilated greenhouses have reasonable setup costs and low operational costs for growers, which is crucial and most appealing for this research. These attributes fit developing nations like Thailand and other tropical regions. It is challenging to control the equipment intended to obtain an ideal microclimate. This research was conducted in an actual greenhouse setting for data collection and experiments, with a proposed system for adaptive equipment control via web integration. Also, the proposed multivariate multistep LSTM was forecasted over 1 h and cooperated with sensor data. Additional sensors, like a leaf wetness sensor and a CO2 sensor, were installed for detecting plant-level precision for vaporization, rather than greenhouse-level. The proposed system can optimize the indoor temperature within 34.5 to 36 °C with a 39 to 40 °C outdoor temperature. Also, humidity was still at the ideal level of 68 to 70%; more precisely, the wetness value was below 300 throughout the experiment. The model accuracy achieved a sufficient RMSE (0.49) and R2 (0.9788). This proposed system architecture and MM-LSTM model has potential as one dimension of a fully smart greenhouse system development in open-ventilated greenhouse settings in tropical regions and Southeast Asian nations for a better yield rate and less human interaction. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Monitoring the Sleep Respiratory Rate with Low-Cost Microcontroller Wi-Fi in a Controlled Environment.

Author

Burimas, Ratthamontree, Horanont, Teerayut, Thapa, Aakash, and Lamichhane, Badri Raj

Subjects
SLEEP interruptions, DIGITAL signal processing, RESPIRATORY measurements, SINGLE-board computers, SLEEP apnea syndromes
Abstract

Sleep apnea, characterized by breathing interruptions or slow breathing at night, can cause various health issues. Detecting respiratory rate (RR) using Wireless Fidelity (Wi-Fi) can identify sleep disorders without physical contact avoiding sleep disruption. However, traditional methods using Network Interface Cards (NICs) like the Intel Wi-Fi Link 5300 NIC are often costly and limited in channel state information (CSI) resolution. Our study introduces an effective strategy using the affordable ESP32 single-board computer for tracking RR through detailed analysis of Wi-Fi signal CSI. We developed a technique correlating Wi-Fi signal fluctuations with RR, employing signal processing methods—Hampel Filtering, Gaussian Filtering, Linear Interpolation, and Butterworth Low Pass Filtering—to accurately extract relevant signals. Additionally, noise from external movements is mitigated using a Z-Score for anomaly detection approach. We also implemented a local peak function to count peaks within an interval, scaling it to bpm for RR identification. RR measurements were conducted at different rates—Normal (12–16 bpm), Fast (>16 bpm), and Slow (<12 bpm)—to assess the effectiveness in both normal and sleep apnea conditions. Tested on data from 8 participants with distinct body types and genders, our approach demonstrated accuracy by comparing modeled sleep RR against actual RR measurements from the Vernier Respiration Monitor Belt. Optimal parameter settings yielded an overall average mean absolute deviation (MAD) of 2.60 bpm, providing the best result for normal breathing (MAD = 1.38). Different optimal settings were required for fast (MAD = 1.81) and slow breathing (MAD = 2.98). The results indicate that our method effectively detects RR using a low-cost approach under different parameter settings. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Modeling Traffic Accidents Occurrences Based on Land Use and Road Factors Using Geographically Weighted Regression Models

Author

Songpatanasilp, Paweenuch, Horanont, Teerayut, Yamada, Harutoshi, Shibasaki, Ryosuke, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Theeramunkong, Thanaruk, editor, Skulimowski, Andrzej M.J., editor, Yuizono, Takaya, editor, and Kunifuji, Susumu, editor

Published
2018
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11. Large Scale Mobility Analysis: Extracting Significant Places Using Hadoop/Hive and Spatial Processing

Author

Witayangkurn, Apichon, Horanont, Teerayut, Nagai, Masahiko, Shibasaki, Ryosuke, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Theeramunkong, Thanaruk, editor, Skulimowski, Andrzej M.J., editor, Yuizono, Takaya, editor, and Kunifuji, Susumu, editor

Published
2018
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12. Pseudo-ranging Based on Round-Trip Time of Bluetooth Low Energy Beacons

Author

Hengyotmark, Supatana, Horanont, Teerayut, Kaemarungsi, Kamol, Fukawa, Kazuhiko, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Meesad, Phayung, editor, Sodsee, Sunantha, editor, and Unger, Herwig, editor

Published
2018
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16. Sensing Urban Density Using Mobile Phone GPS Locations: A Case Study of Odaiba Area, Japan

Author

Horanont, Teerayut, Phithakkitnukoon, Santi, Shibasaki, Ryosuke, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Coulson, Geoffrey, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Vinh, Phan Cong, editor, Vassev, Emil, editor, and Hinchey, Mike, editor

Published
2015
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21. Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data

Author

Phithakkitnukoon, Santi, Horanont, Teerayut, Di Lorenzo, Giusy, Shibasaki, Ryosuke, Ratti, Carlo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Salah, Albert Ali, editor, Gevers, Theo, editor, Sebe, Nicu, editor, and Vinciarelli, Alessandro, editor

Published
2010
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39. PURBA 2019

Author

Phithakkitnukoon, Santi, primary, Horanont, Teerayut, additional, Bhattacharya, Sourav, additional, and Sekimoto, Yoshihide, additional

Published
2019
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44. PURBA 2018

Author

Phithakkitnukoon, Santi, primary, Horanont, Teerayut, additional, Bhattacharya, Sourav, additional, and Sekimoto, Yoshihide, additional

Published
2018
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49. PURBA 2017

Author

Phithakkitnukoon, Santi, primary, Horanont, Teerayut, additional, Bhattacharya, Sourav, additional, and Sekimoto, Yoshihide, additional

Published
2017
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