Dilnura Bektursınova
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Dilnura Bektursınova has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Adilbay Kudaybergenov
Department of Information Systems and Technologies, Karakalpak State University named after Berdakh, 1 Ch. Abdirov St., Nukus 230112, Uzbekistan
1 shared publication - Anvar Kabulov
Department of Information Security, National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan, Uzbekistan
1 shared publication - Elzura Urazimbetova
Department of Information Systems and Technologies, Karakalpak State University, Nukus, Uzbekistan, Uzbekistan
1 shared publication - Gulsara Ametova
Department of Digital Technologies and Artificial Intelligence, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 39 Kari Niyaziy St., Tashkent 100000, Uzbekistan
1 shared publication - Jadira Ispanova
Department of Information Systems and Technologies, Karakalpak State University named after Berdakh, 1 Ch. Abdirov St., Nukus 230112, Uzbekistan
1 shared publication - Mukhabbad Kazimbetova
Department of Information Systems and Technologies, Karakalpak State University named after Berdakh, 1 Ch. Abdirov St., Nukus 230112, Uzbekistan
1 shared publication
Latest Publications
- Open Access
- 3 November 2026
- Published by MDPI AG in Preprints.org
Max–Min Water Delivery Through Quantised Gates: Exclusion Conditions, Rounding Rules and Accounting Periods at a Canal Node
Gates move in finite steps and ignore changes below a deadband, so a gate opening from closed passes at least one quantum per step. For max–min delivery at a canal node through sealing gates that start the day closed, with exact levels and executed commands, it is proved that direct execution excludes users with plans below 1 − 1/(2k) of a quantum, k the deadband in resolution steps. Minimum deliveries cost the max–min level at most the summed quanta over total demand, and whole steps the summed step volumes over the demand of outlets still above quanta. A θ pulse rule serves every positive plan below the daily pulse capacity within −θ to +1 pulse, and carrying the debt forward bounds the cumulative error by one pulse. For ten recorded seasons at the Dustlik node, Kegeyli canal, Uzbekistan, the gates lowered the max–min level of a static constant-level allocation by under 0.001. In closed-loop Saint–Venant simulation with plan-derived demands, direct execution excluded the smallest regulator on exactly the 77 predicted early-April days of assumed demand, pulse rules served it, and carry-over cut its unweighted mean absolute dekadal error from 6.5% (pulse rule) to 1.0% of demand, shifting deliveries between days.
- 3 November 2026
- Published by MDPI AG in Preprints.org
Open AccessMax–Min Water Delivery Through Quantised Gates: Exclusion Conditions, Rounding Rules and Accounting Periods at a Canal Node
Gates move in finite steps and ignore changes below a deadband, so a gate opening from closed passes at least one quantum per step. For max–min delivery at a canal node through sealing gates that start the day closed, with exact levels and executed commands, it is proved that direct execution excludes users with plans below 1 − 1/(2k) of a quantum, k the deadband in resolution steps. Minimum deliveries cost the max–min level at most the summed quanta over total demand, and whole steps the summed step volumes over the demand of outlets still above quanta. A θ pulse rule serves every positive plan below the daily pulse capacity within −θ to +1 pulse, and carrying the debt forward bounds the cumulative error by one pulse. For ten recorded seasons at the Dustlik node, Kegeyli canal, Uzbekistan, the gates lowered the max–min level of a static constant-level allocation by under 0.001. In closed-loop Saint–Venant simulation with plan-derived demands, direct execution excluded the smallest regulator on exactly the 77 predicted early-April days of assumed demand, pulse rules served it, and carry-over cut its unweighted mean absolute dekadal error from 6.5% (pulse rule) to 1.0% of demand, shifting deliveries between days.