Article
Engineering, Electrical & Electronic
Xingyue Yu, Ducheng Wu, Dianxiong Liu, Hai Wang, Zhiqiang Qin
Summary: This paper investigates the joint optimization of the 3D position deployment of multiple UAVs and the access UAV selection of ground MTDs. A hierarchical game model and a local interaction game are proposed to achieve global optimization without a central controller, with the HDALL algorithm designed for desirable solutions. Simulation results demonstrate the validity and effectiveness of the air-ground collaborative deployment strategy and HDALL algorithm.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Xueyi Wang, Lianbo Ma, Xingwei Wang, Ying Shi, Bo Yi, Min Huang
Summary: With the rapid development of network function virtualization (NFV), the procurement of virtual network functions (VNFs) via service chains is becoming more popular. To address the challenge of ensuring truthfulness while enabling flexible resource provisioning, this paper proposes a truthful reverse combinatorial auction-based mechanism. This mechanism allows network service providers (NSPs) to determine the provisioning VNFIs based on auction results and implements a pricing algorithm to induce NSPs to disclose their real costs.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Zhilin Lu, Xudong Zhang, Hongyi He, Jintao Wang, Jian Song
Summary: In this paper, a novel network called ACRNet is designed to improve the performance of compressed CSI feedback task by using network aggregation and PReLU activation. The practical deployment in communication system is also considered. Experimental results show that ACRNet outperforms previous networks, providing a high-performance, low-cost and flexible feedback solution.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Christian M. Clausen, Olga A. Krysiak, Lars Banko, Jack K. Pedersen, Wolfgang Schuhmann, Alfred Ludwig, Jan Rossmeisl
Summary: Compositionally complex materials, such as high-entropy alloys and oxides, have the potential to be efficient catalyst platforms due to their vast chemical space. However, determining the composition of active catalyst materials requires understanding the descriptor-activity relationship, which is challenging experimentally. In this study, we show that inferred adsorption energy distributions on complex solid solution surfaces can predict the electrocatalytic performance of oxygen reduction reaction in the Ag-Pd-Pt-Ru system with high accuracy.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Review
Neurosciences
Lucina Q. Uddin
Summary: This review examines the brain mechanisms underlying the development of flexible cognition during adolescence and its impact on individuals with ASD, highlighting atypical brain network activation in ASD individuals during tasks requiring cognitive flexibility. Future research directions include improving measurement of cognitive flexibility, addressing heterogeneity in executive function ability in ASD, exploring the influence of pubertal hormones on brain development, and investigating the potential connection between bilingualism and preserved cognitive flexibility in ASD individuals.
BIOLOGICAL PSYCHIATRY
(2021)
Article
Computer Science, Software Engineering
Osama Almurshed, Omer Rana, Yinhao Li, Rajiv Ranjan, Devki Nandan Jha, Pankesh Patel, Prem Prakash Jayaraman, Schahram Dustdar
Summary: This article proposes a novel fault-tolerant model that provides self-detection and automatic recovery of faults to enhance the reliability of IoT applications and address infrastructure-level failures in heterogeneous IoT environments. The proposed system includes a fault-tolerant workflow composition and deployment automation system, which is evaluated using a real-world IoT application.
IEEE INTERNET COMPUTING
(2022)
Article
Automation & Control Systems
Yan Lv, Congbo Li, Ying Tang, Yang Kou
Summary: This study focuses on achieving energy-efficient production in a dynamic environment and proposes rescheduling mechanisms for energy savings. By utilizing a mixed-integer programming model and a heuristic framework algorithm, optimization of energy-efficient flexible job shops is successfully achieved.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)