Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Arief Syaichu Rohman"'
Autor:
Muhammad Aria Rajasa Pohan, Bambang Riyanto Trilaksono, Sigit Puji Santosa, Arief Syaichu Rohman
Publikováno v:
IEEE Access, Vol 12, Pp 56582-56608 (2024)
This study proposes a path planning algorithm that combines an informed rapidly-exploring random tree (RRT*) and particle swarm optimization (PSO) algorithms. The informed RRT* algorithm can build optimal pathways quickly. However, in some cases, the
Externí odkaz:
https://doaj.org/article/25de960c165b40bd89ca7b2030db9008
Autor:
Khansa Salsabila Suhaimi, Abdurraafi' Syauqy, Mohammad Salman Subki, Bambang Riyanto Trilaksono, Arief Syaichu Rohman, Yulyan Wahyu Hadi, Handoko Supeno, Dhimas Bintang Kusumawardhana, Dewi Nala Husna
Publikováno v:
IEEE Access, Vol 11, Pp 71714-71726 (2023)
A decision-making system is an essential component of an autonomous tram. The decision-making system uses information on the surrounding area to recognize the traffic situation and determine appropriate actions to maintain safety and passenger comfor
Externí odkaz:
https://doaj.org/article/7c7097dfd2f748f6a7f396bffe71b995
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200191- (2023)
This paper stresses its contribution based on improving the learning dynamics of the online sequential extreme learning machine (OS-ELM) algorithm using a control system approach. We develop a predictive learning framework that enables optimization w
Externí odkaz:
https://doaj.org/article/d1d0882e9b854d32b3a17aef1668abf7
Publikováno v:
Heliyon, Vol 9, Iss 1, Pp e12716- (2023)
Recent advancements in tracking methods, particularly correlative-filter-based methods, can be utilized to support object detection to achieve the desired accuracy and speed. This is especially beneficial to aid a weak object detection model that res
Externí odkaz:
https://doaj.org/article/0444319b4a4d48b1958f1c59db984a96
Autor:
Muhammad Aria Rajasa Pohan, Bambang Riyanto Trilaksono, Sigit Puji Santosa, Arief Syaichu Rohman
Publikováno v:
IEEE Access, Vol 9, Pp 153599-153615 (2021)
This paper proposes a path planning algorithm using the hybridization of the rapidly-exploring random tree (RRT) and ant colony system (ACS) algorithms. The RRT algorithm can quickly generate paths. However, the resulting path is suboptimal. Meanwhil
Externí odkaz:
https://doaj.org/article/21c2470324104cb3a25a235b2477c705
Publikováno v:
IEEE Access, Vol 7, Pp 141209-141225 (2019)
Efficient energy usage of electric vehicles (EVs) is an important concern, especially in relation to the use of battery energy. This paper presents a strategy to make the use of battery energy more economical by employing a new modeling approach. One
Externí odkaz:
https://doaj.org/article/d0c879d69dd64557924e219ee94c42b7
Autor:
Rina Ristiana, Arief Syaichu Rohman, Estiko Rijanto, Agus Purwadi, Egi Hidayat, Carmadi Machbub
Publikováno v:
Journal of Mechatronics, Electrical Power, and Vehicular Technology, Vol 9, Iss 2, Pp 89-100 (2018)
This paper develops an optimal speed control using a linear quadratic integral (LQI) control standard with/without an observer in the system based on an integrated battery-electric vehicle (IBEV) model. The IBEV model includes the dynamics of the ele
Externí odkaz:
https://doaj.org/article/8d66acb4e9f348e3b8cd28c0a0271d65
Publikováno v:
Journal of Mechatronics, Electrical Power, and Vehicular Technology, Vol 7, Iss 2, Pp 77-86 (2016)
Supercapacitor is one of electrical energy sources that have faster charging-discharging times when compared to other power sources, such as battery and fuel cell. Therefore, it is often used as an additional power source in an electric vehicle. In t
Externí odkaz:
https://doaj.org/article/1bf77d43b4ab4d66b7bfebe7e204f029
Publikováno v:
Jurnal Riset Kesehatan, Vol 2, Iss 3, Pp 403-418 (2015)
Labor process is complex. Anatomically and physiologically must be monitored during labor process. Normal labor case is higher than labor with medical interventional. In Indonesia, labor process training still used conventional simulation media. The
Externí odkaz:
https://doaj.org/article/6b7fc4cdbdf045e89ebb85f3418d6181
Publikováno v:
2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4acca61e3384059321d37e3563b80877
https://doi.org/10.1109/iccosite57641.2023.10127822
https://doi.org/10.1109/iccosite57641.2023.10127822