Zobrazeno 1 - 10
of 18 946
pro vyhledávání: '"Prasetyo, A"'
We present a viewpoint-based non-linear Model Predictive Control (MPC) for evacuation guiding robots. Specifically, the proposed MPC algorithm enables evacuation guiding robots to track and guide cooperative human targets in emergency scenarios. Our
Externí odkaz:
http://arxiv.org/abs/2409.19466
Using the BPS Lagrangian method, we obtain a distinct set of Bogomolny equations for the Cho-Maison monopoles from the bosonic sector of a regularized electroweak theory. In the limit of $n\rightarrow\infty$ of the permittivity regulator, $\epsilon\l
Externí odkaz:
http://arxiv.org/abs/2404.08881
Autor:
Kurniati, Florentina Tatrin, Manongga, Daniel HF, Sediyono, Eko, Prasetyo, Sri Yulianto Joko, Huizen, Roy Rudolf
Publikováno v:
JITEKI,December 2023, http://journal.uad.ac.id/index.php/JITEKI/article/view/27842
In the era of modern technology, object detection using the Gray Level Co-occurrence Matrix (GLCM) extraction method plays a crucial role in object recognition processes. It finds applications in real-time scenarios such as security surveillance and
Externí odkaz:
http://arxiv.org/abs/2404.04578
The advancement of astronomical observations opens the possibility of testing our current understanding of gravitational theory in the strong-field regime and probing any deviation from general relativity. We explore to what extent compact stars pred
Externí odkaz:
http://arxiv.org/abs/2403.19450
The underwater world remains largely unexplored, with Autonomous Underwater Vehicles (AUVs) playing a crucial role in sub-sea explorations. However, continuous monitoring of underwater environments using AUVs can generate a significant amount of data
Externí odkaz:
http://arxiv.org/abs/2402.03636
Autor:
Kurniati, Florentina Tatrin, Manongga, Daniel HF, Sediyono, Eko, Prasetyo, Sri Yulianto Joko, Huizen, Roy Rudolf
Publikováno v:
JITEKI,Vol.9,No.3,September2023,pp.793-801;http://journal.uad.ac.id/index.php/JITEKI/article/view/26683
In the field of object classification, identification based on object variations is a challenge in itself. Variations include shape, size, color, and texture, these can cause problems in recognizing and distinguishing objects accurately. The purpose
Externí odkaz:
http://arxiv.org/abs/2309.13512
Autor:
Tan, Yu Xiang, Prasetyo, Marcel Bartholomeus, Daffa, Mohammad Alif, Nitin, Deshpande Sunny, Meghjani, Malika
The increasing demand for autonomous vehicles has created a need for robust navigation systems that can also operate effectively in adverse weather conditions. Visual odometry is a technique used in these navigation systems, enabling the estimation o
Externí odkaz:
http://arxiv.org/abs/2309.05249
Autor:
Dewi Nurhidayah, Yudik Prasetyo, Panggung Sutapa, Fitri Agung Nanda, Pinton Setya Mustafa, Dwi Astuti, Alienra Davry Nanda Kadun MT
Publikováno v:
Pedagogy of Physical Culture and Sports, Vol 28, Iss 5, Pp 387-395 (2024)
Background and Study Aim. Developing exercise programs to maintain the fitness and health of retired athletes is crucial as a preventive measure against common health problems in this population. Equally important is the creation of an exercise evalu
Externí odkaz:
https://doaj.org/article/4b1cce85b8bd4baab2ea4339b97466b9
Publikováno v:
Fon, Vol 20, Iss 2, Pp 431-441 (2024)
ABSTRAK: Bahasa Indonesia saat ini semakin dikenal di kalangan internasional. Hal ini dapat menjadi salah satu faktor peningkatan peminat pembelajaran Bahasa Indonesia oleh Penutur Asing (BIPA). Di sisi lain, Jakarta sebagai pintu gerbang masuknya tu
Externí odkaz:
https://doaj.org/article/ef0c453285d642cf852a0a62990d6917
Publikováno v:
Journal of Electrical Engineering and Computer, Vol 6, Iss 2, Pp 382-390 (2024)
Analisis sentimen merupakan bidang yang penting dalam pengolahan bahasa alami dan aplikasi sosial media modern. Penelitian ini menginvestigasi pengaruh dari variasi komposisi split data terhadap performa akurasi model analisis sentimen menggunakan SV
Externí odkaz:
https://doaj.org/article/def0e3b1d4f44c95b259664ae226d1a4