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Design and simulation of self-organizing network routing algorithm based on Q-learning
Yuejia Dou,Huilin Liu,Liangkang Wei,Shiyou Chen 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
With the continuous advancement of computer network communication technology, traditional wired and wireless networks are limited by cables and base stations, and are not applicable in some application scenarios. Therefore, mobile wireless communication methods have attracted more and more attention. Due to its dynamic topology and self-organizing without center, the self-organizing network can form a mobile temporary multi-hop mobile communication network through multiple wireless communication devices, which can well meet the above requirements. At present, research on self-organizing networks mainly focuses on routing protocols. The main types are based on network topology information and location information. This paper designs a routing algorithm based on link reliability. The algorithm fully considers the self-organizing network link information, and models the node"s sending and receiving work as a Markov decision process, and uses Q-learning to demodulate. This article used NS2 for network simulation and analysis and comparison of performance indicators with traditional routing algorithms.
Liang Bai,Huilin Wei,Bin Wang,Fangfang Liao,Tianhua Zhou,Xing-Wen Liang 국제구조공학회 2023 Steel and Composite Structures, An International J Vol.47 No.1
This paper presented an investigation into steel tubes encased high-strength concrete (STHC) composite walls, wherein steel tubes were embedded at the boundary elements of high-strength concrete walls. A series of cyclic loading tests was conducted to evaluate the failure pattern, hysteresis characteristics, load-bearing capacity, deformability, and strain distribution of STHC composite walls. The test results demonstrated that the bearing capacity and ductility of the STHC composite walls improved with the embedding of steel tubes at the boundary elements. An analytical method was then established to predict the flexural bearing capacity of the STHC composite walls, and the calculated results agreed well with the experimental values, with errors of less than 10%. Finally, a finite element modeling (FEM) was developed via the OpenSees program to analyze the mechanical performance of the STHC composite wall. The FEM was validated through test results; additionally, the influences of the axial load ratio, steel tube strength, and shear-span ratio on the mechanical properties of STHC composite walls were comprehensively investigated.
Liu Genshen,Wei Peitang,Liu Huaiju,Du Xuesong,Hu Rui,He Huilin,Zhou Pengliang,Tan Xiaoqing 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.6
The planetary roller screw mechanism (PRSM) is an advanced linear transmission device. The relationship between tolerance allocation and performance risk still remains elusive, which is a challenge for its future applications. This work proposes a novel transmission accuracy–axial backlash–fatigue life-driven tolerance optimization method for the screw, roller, and nut of PRSM. A computational framework for PRSM transmission accuracy, axial backlash, and fatigue life calculation is developed to work on the parametric variation of design parameters including the eccentric, pitch, nominal diameter, and flank angle. Combinations of parametric variation are obtained by the Latin hypercube sampling-based tolerance statistical model to rapidly evaluate PRSM performance risk under operation conditions and tolerance parameters. The optimal tolerance parameters with the expanded width of tolerance interval and the minimum PRSM performance risk probability are obtained using the non-dominated sorting genetic algorithm. Results reveal that PRSM performance risk probabilities change from 89.25 to 68.72% and 58.1 to 56.86%, with 29.94 and 17.38% tolerance interval width increase under the high-precision and heavy-loading operation cases studied, respectively.
Advances in Smartphone-Based Point-of-Care Diagnostics
Xiayu Xu,Akay, Altug,Huilin Wei,ShuQi Wang,Pingguan-Murphy, Belinda,Erlandsson, Bjorn-Erik,XiuJun Li,WonGu Lee,Jie Hu,Lin Wang,Feng Xu IEEE 2015 Proceedings of the Institute of Electrical and Ele Vol.103 No.2
<P>Point-of-care (POC) diagnostics is playing an increasingly important role in public health, environmental monitoring, and food safety analysis. Smartphones, alone or in conjunction with add-on devices, have shown great capability of data collection, analysis, display, and transmission, making them popular in POC diagnostics. In this article, the state-of-the-art advances in smartphone-based POC diagnostic technologies and their applications in the past few years are outlined, ranging from in vivo tests that use smartphone's built-in/external sensors to detect biological signals to in vitro tests that involves complicated biochemical reactions. Novel techniques are illustrated by a number of attractive examples, followed by a brief discussion of the smartphone's role in telemedicine. The challenges and perspectives of smartphone-based POC diagnostics are also provided.</P>