Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Gwo-Jiun Horng"'
Autor:
Aripriharta, Adim Firmansah, Agusta Rakhmat Taufani, Irma Kartika Kusumaningrum, Satia Nur Maharani, Gwo-Jiun Horng
Publikováno v:
Journal of Applied Science and Engineering, Vol 25, Iss 1, Pp 85-93 (2021)
The Covid-19 pandemic has plunged small enterprises, especially those engaged in the food sector, into a slump. the main reason is that the production process is very traditional, thus allowing a lot of contact between the chef and the ingredients. T
Externí odkaz:
https://doaj.org/article/28d88089e0fb4a2abab1b8079b951614
Autor:
Muhammad Yazid, Fahmi Fahmi, Erwin Sutanto, Wervyan Shalannanda, Ruhush Shoalihin, Gwo-Jiun Horng, Aripriharta
Publikováno v:
IEEE Access, Vol 9, Pp 150252-150267 (2021)
This paper proposed a simple but highly accurate feature extraction method for epilepsy detection from electroencephalogram (EEG) signals. Based on the combination of Discrete Wavelet Transform (DWT) and the newly proposed features Local Binary Patte
Externí odkaz:
https://doaj.org/article/3bd9e2edacd446a88124e798f98013ac
Publikováno v:
IEEE Access, Vol 8, Pp 86545-86553 (2020)
The non-contact healthcare system is a system that can avoid germ infection, and can also provide comfortable and convenient health care services for the caregivers. In the current thermal imaging research, local or small area images are used to repr
Externí odkaz:
https://doaj.org/article/0891224c0e96487e95a8836596d51691
Publikováno v:
IEEE Access, Vol 8, Pp 161884-161893 (2020)
The original queen honey bee migration (QHBM) was developed for independent action on solving efficient mobile routing in WSN. In this article, we enhanced the original QHBM using Binary testing injection on the cooperative node's selection on IoT sy
Externí odkaz:
https://doaj.org/article/45e678ab308341dfb323ac4d26063e71
Autor:
Aripriharta Aripriharta, Kusmayanto Hadi Wibowo, Irham Fadlika, Muladi Muladi, Nandang Mufti, Markus Diantoro, Gwo-Jiun Horng
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2022 (2022)
This paper presents a new heuristic method for maximum power point tracking (MPPT) in PV systems under normal and shadowing situations. The proposed method is a modification of the original queen honey bee migration (QHBM) to shorten the computation
Externí odkaz:
https://doaj.org/article/d00dc12ae31244f7a6df33fd3993db42
Publikováno v:
Medicina, Vol 58, Iss 10, p 1379 (2022)
Background and Objectives: We developed a machine learning algorithm to analyze trauma-related data and predict the mortality and chronic care needs of patients with trauma. Materials and Methods: We recruited admitted patients with trauma during 201
Externí odkaz:
https://doaj.org/article/c595e594f11e4d03ac2e66b1cc1777b2
Publikováno v:
Healthcare, Vol 10, Iss 5, p 789 (2022)
Smartphones are currently extensively used worldwide, and advances in hardware quality have engendered improvements in smartphone image quality, which is occasionally comparable to the quality of medical imaging systems. This paper proposes two algor
Externí odkaz:
https://doaj.org/article/1e741a7aee374b408ffa897e04b3d0cc
Publikováno v:
Energy Exploration & Exploitation, Vol 38 (2020)
Lead–acid battery is the common energy source to support the electric vehicles. During the use of the battery, we need to know when the battery needs to be replaced with the new one. In this research, we proposed a prediction method for voltage and
Externí odkaz:
https://doaj.org/article/4b1d6faa3e0644ba831bd7511aad459a
Autor:
Hsin-Te Wu, Gwo-Jiun Horng
Publikováno v:
IEEE Access, Vol 5, Pp 19239-19247 (2017)
The Internet of Vehicle (IoV) utilizes networks to conduct message exchange and related services or application. In recent years, smart cities and IoVs have become areas of interest in the new generation Internet of Things development, especially sin
Externí odkaz:
https://doaj.org/article/d1b93245c7bb408083117734a67ca618
Autor:
Yung-Chien Chou, Cheng-Ju Kuo, Tzu-Ting Chen, Gwo-Jiun Horng, Mao-Yuan Pai, Mu-En Wu, Yu-Chuan Lin, Min-Hsiung Hung, Wei-Tsung Su, Yi-Chung Chen, Ding-Chau Wang, Chao-Chun Chen
Publikováno v:
Applied Sciences, Vol 9, Iss 19, p 4166 (2019)
In the production process from green beans to coffee bean packages, the defective bean removal (or in short, defect removal) is one of most labor-consuming stages, and many companies investigate the automation of this stage for minimizing human effor
Externí odkaz:
https://doaj.org/article/9471a34168994c32bf752a8df1fa0849