Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Dimitri Mahayana"'
Autor:
Dimitri Mahayana
Publikováno v:
IEEE Access, Vol 12, Pp 40883-40893 (2024)
This paper introduces a data-driven approach employing the Light Gradient Boosting Machine (LightGBM) algorithm as a controller for robotic manipulators. By harnessing data-driven techniques and machine learning, the method captures the intricate dyn
Externí odkaz:
https://doaj.org/article/2876076aea8840cd9ac3c17737d7817c
Publikováno v:
IEEE Access, Vol 11, Pp 141559-141572 (2023)
The current application of control theory is commonly carried out in systems with a model or known system dynamics. However, in practice this is a formidable task to achieve as not all state information can be known. The use of the Output Feedback (O
Externí odkaz:
https://doaj.org/article/7d21b5dd9a284bf9b30caca712d8a824
Autor:
Dimitri Mahayana
Publikováno v:
IEEE Access, Vol 11, Pp 70238-70247 (2023)
The attitude dynamics of spacecraft are highly nonlinear, which makes it challenging to design control algorithms that can handle these nonlinearities. This study presents a novel data-driven synthesis method for spacecraft attitude control using the
Externí odkaz:
https://doaj.org/article/4b645bd29aa64efe94938a544314bfbf
Publikováno v:
IEEE Access, Vol 11, Pp 24227-24237 (2023)
The implementation of the Linear Quadratic Gaussian (LQG) scheme is often considered problematic as it requires a dynamic model of the system as a whole. The challenges come from state variables without a physical representation and the interference
Externí odkaz:
https://doaj.org/article/3a4c47078baf49e4ae298e048c7ca789
Autor:
Setia Juli Irzal Ismail, Toni Kusnandar, Yeni Sanovia, Ratna Mayasari, Ridha Muldina Negara, Dimitri Mahayana
Publikováno v:
IJAIT (International Journal of Applied Information Technology), Vol 4, Iss 02, Pp 69-80 (2021)
Since February 2020, Indonesia was struck by the Covid-19 pandemic. This led to the imposition of Large-scale Social Restrictions. The government issued a policy of working from home, learning from home, and worshiping at home. To carry out their act
Externí odkaz:
https://doaj.org/article/8c27ce65624d42beab9da4c060579773
Autor:
Nasy`an Taufiq Al Ghifari, Akhmadi Surawijaya, Fitra Arifiansyah, Agus Komarudin, Denny Hidayat Tri Nugroho, Dimitri Mahayana
Publikováno v:
Jurnal Informatika, Vol 15, Iss 1, Pp 1-16 (2021)
The use of the Internet and social media today is inseparable from the life of modern society. This can lead to an addiction to the Internet and social media. This research aims to answer whether the phenomenon of Internet and social media addiction
Externí odkaz:
https://doaj.org/article/35cc1d13a62f46f0b4d52386715de6d8
Publikováno v:
Jurnal Sistem Informasi, Vol 16, Iss 1 (2020)
Social media user in Indonesia has growth rapidly since its emergence. In 2019, one of largest social media platform, Facebook has 3 billion users world wide user and 130 million users of them come from Indonesia. Moreover, the other social media lik
Externí odkaz:
https://doaj.org/article/605ab395a0fc419582b61195435a58ef
Publikováno v:
Journal of ICT Research and Applications, Vol 5, Iss 2, Pp 105-124 (2014)
Block cipher analysis covers randomness analysis and cryptanalysis. This paper proposes a new method potentially used for randomness analysis and cryptanalysis. The method uses true random sequence concept as a reference for measuring randomness leve
Externí odkaz:
https://doaj.org/article/9269edef8b7c4104af0b64f99e4aada2
Publikováno v:
ITB Journal of Information and Communication Technology, Vol 5, Iss 2, Pp 105-124 (2011)
Block cipher analysis covers randomness analysis and cryptanalysis. This paper proposes a new method potentially used for randomness analysis and cryptanalysis. The method uses true random sequence concept as a reference for measuring randomness leve
Externí odkaz:
https://doaj.org/article/d4483f3a2a174926a95ee415b95914f4
Autor:
Meredita Susanty, Ira Puspasari, Nilam Fitriah, Dimitri Mahayana, Tati Erawati Latifah Rajab, Hasballah Zakaria, Agung Wahyu Setiawan, Rukman Hertadi
Publikováno v:
Jurnal Informatika. 10:1-12
The use of machine learning harbours the promise of more accurate, unbiased future predictions than human beings on their own can ever be capable of. However, because existing data sets are always utilized, these calculations are extrapolations of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26ab64eb487bb79d87c8a2b2077bc21a
https://doi.org/10.31294/inf.v10i1.12787
https://doi.org/10.31294/inf.v10i1.12787