9,518 research outputs found
Dataset for All-Optical Implementation of the Ant Colony Optimization Algorithm
No full textDataset supports:
Hu, W. et al (2016). All-optical implementation of the ant colony optimization algorithm. Scientific Reports, 1-15. </span
Design automation of cyber-physical systems: Challenges, advances, and opportunities
No full textA cyber-physical system (CPS) is an integration of computation with physical processes whose behavior is defined by both computational and physical parts of the system. In this paper, we present a view of the challenges and opportunities for design automation of CPS. We identify a combination of characteristics that define the challenges unique to the design automation of CPS. We then present selected promising advances in depth, focusing on four foundational directions: combining model-based and data-driven design methods; design for human-in-the-loop systems; component-based design with contracts, and design for security and privacy. These directions are illustrated with examples from two application domains: smart energy systems and next-generation automotive systems
Computing with complex optical networks
No full textUsing simple fiber networks for proof-of-principle demonstrations, we give examples of natural computing in linear optical networks, like solving polynomial (P) and nondeterministic polynomial (NP) problems, and in nonlinear optical networks, like metaheuristic optimization and neuromorphic computing
Supplementary_material-updated – Supplemental material for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors
No full textSupplemental material, Supplementary_material-updated for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors by Feiyang Liu, Fengming Zou, Cheng Chen, Kailin Yu, Xiaochuan Liu, Shuang Qi, Jiaxin Wu, Chen Hu, Zhenquan Hu, Juan Liu, Xuesong Liu, Li Wang, Juan Ge, Wenchao Wang, Tao Ren, Mingfeng Bai, Yujiao Cai, Xudong Xiao, Feng Qian, Jun Tang, Qingsong Liu and Jing Liu in Therapeutic Advances in Medical Oncology</p
Supplemental_Table_3 – Supplemental material for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors
No full textSupplemental material, Supplemental_Table_3 for Axitinib overcomes multiple imatinib resistant cKIT mutations including the gatekeeper mutation T670I in gastrointestinal stromal tumors by Feiyang Liu, Fengming Zou, Cheng Chen, Kailin Yu, Xiaochuan Liu, Shuang Qi, Jiaxin Wu, Chen Hu, Zhenquan Hu, Juan Liu, Xuesong Liu, Li Wang, Juan Ge, Wenchao Wang, Tao Ren, Mingfeng Bai, Yujiao Cai, Xudong Xiao, Feng Qian, Jun Tang, Qingsong Liu and Jing Liu in Therapeutic Advances in Medical Oncology</p
All-optical implementation of the ant colony optimization algorithm
No full textWe report all-optical implementation of the optimization algorithm for the famous “ant colony” problem. Ant colonies progressively optimize pathway to food discovered by one of the ants through identifying the discovered route with volatile chemicals (pheromones) secreted on the way back from the food deposit. Mathematically this is an important example of graph optimization problem with dynamically changing parameters. Using an optical network with nonlinear waveguides to represent the graph and a feedback loop, we experimentally show that photons traveling through the network behave like ants that dynamically modify the environment to find the shortest pathway to any chosen point in the graph. This proof-of-principle demonstration illustrates how transient nonlinearity in the optical system can be exploited to tackle complex optimization problems directly, on the hardware level, which may be used for self-routing of optical signals in transparent communication networks and energy flow in photonic systems
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