Results 51 to 60 of about 11,222 (260)

A New PSO-based Algorithm for Two-Dimensional Non-Guillotine Non-Oriented Cutting Stock Problem

Applied Artificial Intelligence, 2017
In this paper, a new algorithm is proposed for the two-dimensional non-guillotine non-oriented cutting stock problem. The considered problem consists of cutting small rectangular pieces of predetermined sizes from large but finite rectangular plates. The
Omar Ayadi, Malek Masmoudi, Mariem Ben Ameur, Faouzi Masmoudi   +3 more
doaj   +1 more source

Aggregation‐Controlled Vat Dyeing of Meta‐Aramid Fibers: Mechanistic Insights and Suppression of Surface Dye Deposition

Advanced Materials Interfaces, EarlyView.
Supramolecular aggregation governs the interfacial adsorption, diffusion, and fixation of anthraquinone‐based vat dyes in meta‐aramid fibers. By correlating reduction chemistry, aggregate formation, and fiber microstructure, a multiscale mechanism for aggregation‐controlled dyeing is established, providing an effective strategy to suppress surface dye ...
Jisiyuan Qin, Yahui Xia, Shiqi Hu, Yongmin Wu, Mohammad Raza Miah, Ruizhe Lu, Yunhan Tang, Genyang Cao, Sakil Mahmud   +8 more
wiley   +1 more source

Sustainable Material Cutting Optimization Using Deep Q-Networks: A Reinforcement Learning Approach for Resource Efficiency [PDF]

ITM Web of Conferences
This paper proposes an innovative approach to the Cutting Stock Problem (CSP) by integrating Graph Neural Networks (GNN) which effectively extract and process graph-structured data and Deep Reinforcement Learning (DRL) which utilizes the data generated ...
Chen Linxuan
doaj   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

Advanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli, Dhanush Patil, Libin Yang, M. Taylor Sobczak, Anshul Kulkarni, Xiao Sun, Arunachalam Ramanathan, Tiantian Li, Ramaraja P. Ramasamy, Jason J. Locklin, Yanyu Chen, Xianqiao Wang, Arunachala Mada Kannan, Kenan Song   +13 more
wiley   +1 more source

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Dynamic Regulation of Endogenous Transcription Factor Hubs at Single‐Molecule Resolution

Advanced Science, EarlyView.
This study combines single‐molecule microscopy and genome editing to characterize the dynamic behaviors of endogenous oncofusion transcription factor EWS::FLI1 in Ewing sarcoma cells. EWS::FLI1 forms neomorphic hubs that dynamically assemble and dissolve. The hubs are regulated during mitosis, by RNA, and by specific chemicals.
Shawn Yoshida, Yanghao Zhong, Akiko Kumagai, William G. Dunphy, Shasha Chong   +4 more
wiley   +1 more source

A Petri Net-Based Algorithm for Solving the One-Dimensional Cutting Stock Problem

Applied Sciences
This paper addresses the one-dimensional cutting stock problem, focusing on minimizing total stock usage. Most procedures that deal with this problem reside on linear programming methods, heuristics, metaheuristics, and hybridizations. These methods face
Irving Barragan-Vite, Joselito Medina-Marin, Norberto Hernandez-Romero, Gustavo Erick Anaya-Fuentes   +3 more
doaj   +1 more source

Pattern-based diving heuristics for a two-dimensional guillotine cutting-stock problem with leftovers

EURO Journal on Computational Optimization, 2019
In the two-dimensional guillotine cutting-stock problem, the objective is to minimize the number of large plates used to cut a list of small rectangles.
François Clautiaux, Ruslan Sadykov, François Vanderbeck, Quentin Viaud   +3 more
doaj   +1 more source

Trim Loss Optimization in Paper Production Using Reinforcement Artificial Bee Colony

IEEE Access, 2020
In paper production, a jumbo reel is cut into multiple intermediate rolls, and each intermediate roll is then sheeted as finished goods. This problem is called a cutting stock problem and is proven to be NP-hard.
Suthida Fairee, Charoenchai Khompatraporn, Booncharoen Sirinaovakul, Santitham Prom-On   +3 more
doaj   +1 more source