Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Quoc-Bao Truong"'
Publikováno v:
Can Tho University Journal of Science. 14:54-61
In our country today, the counting of dried coconuts at the production facilities is done manually, takes a lot of time and is not accurate. The goal of this study is to build an automatic, fast and accurate coconut counting system. The study was con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b49671a50275561f1afea7e1e1276cf8
https://doi.org/10.22144/ctu.jen.2022.006
https://doi.org/10.22144/ctu.jen.2022.006
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6800448726e3b33441f07098e7d2014a
https://doi.org/10.1063/5.0103448
https://doi.org/10.1063/5.0103448
Publikováno v:
International Journal of Control, Automation and Systems. 19:1133-1138
In this paper, we consider the fuzzy moving sliding surface anti-sway control problem for container cranes. We first introduce the dynamic model of container cranes. Then, we develop the coupled sliding surface which ensures the asymptotic stability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f92547e06c3193b1cad22d3dc20c40a
https://doi.org/10.1007/s12555-019-0595-2
https://doi.org/10.1007/s12555-019-0595-2
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030343644
Business cards have been widely used to greet business professionals and exchange contact information. However, the current paper-based way to manage business cards impedes their effective usage, leading to a need for digitalising and extracting busi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56a4ca754c97eb4194a377c215633b97
https://doi.org/10.1007/978-3-030-34365-1_18
https://doi.org/10.1007/978-3-030-34365-1_18
Publikováno v:
2018 5th NAFOSTED Conference on Information and Computer Science (NICS).
In this paper, we introduce an automated vision-based system which consists of an image grabbing mechanism and an inspection method for detecting and classifying defects on the surface of leather fabric. The proposed inspection method treats errors l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89f5fa59fa6fa74ee48ea2cbf35ccc59
https://doi.org/10.1109/nics.2018.8606836
https://doi.org/10.1109/nics.2018.8606836
Publikováno v:
KSE
In this research, we proposed using two methods for the problem of pest identification from leaf patterns. Firstly, we use a traditional recognition shallow architecture with extracted three features: Color moments, Color correlograms, Zernike moment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4c8efcc87ba40c329b4aa00b6fe59cc
https://doi.org/10.1109/kse.2018.8573422
https://doi.org/10.1109/kse.2018.8573422
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319754161
ACIIDS (1)
ACIIDS (1)
Nowadays, Depth Learning with Convolution Neural Networks (CNN) has become a well known method in object recognition task to generate descriptions and classify learned features and gradually took over. There are few CNN applied studies on leaves reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38cdf1adbbc23addbbda9cfefb1686d0
https://doi.org/10.1007/978-3-319-75417-8_53
https://doi.org/10.1007/978-3-319-75417-8_53
Publikováno v:
2017 4th NAFOSTED Conference on Information and Computer Science.
In recent years there have been many proposals for automated applications in vegetable harvesting. There are two major challenges: estimation of yield and harvesting of fruit trees. This research proposes a new algorithm that allows accurate counting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e6611bf33456209931f945d69343bd0
https://doi.org/10.1109/nafosted.2017.8108052
https://doi.org/10.1109/nafosted.2017.8108052
Publikováno v:
Journal of Information & Telecommunication; Jun2020, Vol. 4 Issue 2, p140-150, 11p
Autor:
Byung Ryong Lee, Quoc Bao Truong
Publikováno v:
International Journal of Control, Automation and Systems. 11:834-844
Automatic thresholding has been widely used in machine vision for automatic image segmentation. Otsu’s method selects an optimum threshold by maximizing the between-class variance in a grayscale image. However, the method becomes time-consuming whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::886d15835184cb37e00b9a5238a74e00
https://doi.org/10.1007/s12555-011-0055-0
https://doi.org/10.1007/s12555-011-0055-0