Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Wannarat Suntiamorntut"'
Publikováno v:
ASEAN Journal of Scientific and Technological Reports. 25:59-68
Robotic and Artificial Intelligent (AI) have been introduced as a key factor for industry revolution4.0. Many industries, such as manufacturing, agriculture, logistics, supply chain, and so on, are transformed and applied robotic and AI to enhance pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7298b8f00c69c3cf8812f1af63af14b6
https://doi.org/10.55164/ajstr.v25i3.246950
https://doi.org/10.55164/ajstr.v25i3.246950
Publikováno v:
2021 25th International Computer Science and Engineering Conference (ICSEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2262c20c4ff6265d826c5f398a3d4b30
https://doi.org/10.1109/icsec53205.2021.9684633
https://doi.org/10.1109/icsec53205.2021.9684633
Publikováno v:
Journal of Mechanical Engineering and Sciences; Vol 13 No 2 (2019): (June 2019); 4816-4834
The objective of this study was to compare the Bullwhip Effect (BWE) in the supply chain through two methods and to determine the inventory policy for the uncertainty demand. It would be useful to determine the best forecasting method to predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e074fb0d78094635c841e6e585ff8788
https://igi.indrastra.com/items/show/16286
https://igi.indrastra.com/items/show/16286
This paper presents architecture of backpropagation Artificial Neural Network (ANN) and Support Vector Regression (SVR) models in supervised learning process for cement demand dataset. This study aims to identify the effectiveness of each parameter o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::088b64db42b53248afd71837c133c98a
https://zenodo.org/record/4072366
https://zenodo.org/record/4072366
Publikováno v:
Journal of Asian Scientific Research. 5:373-384
This paper was presented Artificial Neural Network (ANN) as one of the predicting methods to obtain more accurate predicted data. Several methods have been applied to this purpose but still not gave a better accuracy. The method could be used in line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f41558e5f9adfca2571b9ef0711f21f9
https://doi.org/10.18488/journal.2/2015.5.7/2.7.373.384
https://doi.org/10.18488/journal.2/2015.5.7/2.7.373.384
Publikováno v:
JCSSE
This paper proposed real-time lane detection system for automotive application based on field programmable gate array (FPGA). The proposed system has two main. The first one is pre-processing with statistic and blob detection, and the second one is r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f83dceceb4dee8e077fa7b770c8accf
https://doi.org/10.1109/jcsse.2017.8025909
https://doi.org/10.1109/jcsse.2017.8025909
Publikováno v:
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE).
This paper describes the detection and monitoring human running for alert and reduces a risk of injuries. The design divided into two part. There are comprised of the detection of stop suddenly running and the monitoring ground force reaction (GFR) o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::160e46c49bdbf626e21879d83b52b865
https://doi.org/10.1109/jcsse.2016.7748843
https://doi.org/10.1109/jcsse.2016.7748843
Autor:
Wannarat Suntiamorntut, Jakkrit Sriwan
Publikováno v:
2015 12th International Joint Conference on Computer Science and Software Engineering (JCSSE).
This paper proposes a human activity monitoring system using accelerated sensors based on wireless sensor networks. By implementing SVM on embedded sensor node and using pitch roll, the direction of human activities can also be classified. By using t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4da944f486135cf3bac2f28d555a39a8
https://doi.org/10.1109/jcsse.2015.7219804
https://doi.org/10.1109/jcsse.2015.7219804
Publikováno v:
International Journal of Electrical & Computer Engineering (2088-8708); Oct2018 (Part II), Vol. 8 Issue 5, p3341-3348, 8p
Publikováno v:
ICUIMC
Wireless sensor networks are widely used in many applications such as environment monitoring, intelligent transportation system (ITS) and health care monitoring. In wireless sensor networks, a large number of sensor nodes are deployed without infrast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76df91cfcb698f607e5b2e8a1403a017
https://doi.org/10.1145/2184751.2184769
https://doi.org/10.1145/2184751.2184769