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Resource Allocation and Distributed Uplink Offloading Mechanism in Fog Environment
Linna Ruan,Zhoubin Liu,Xuesong Qiu,Zixiang Wang,Shaoyong Guo,Feng Qi 한국통신학회 2018 Journal of communications and networks Vol.20 No.3
Applying fog computing technology to the shared patternhas two problems to cope with. One is to formulate a rational mechanismfor resource allocation, and the other is to design computationoffloading strategy of tasks based on resource allocation result. For solving these problems, we construct a three-layer F-RAN architecturefirst, which consists of terminal layer, access layer andnetwork layer. Second, we adopt differential game and bipartitegraph multiple matching algorithm to solve bandwidth resource allocationproblemof fog node (FN)-access point (AP) and AP-sharedterminal (ST), respectively. Third, Lyapunov theory and proposeddeviation update decision algorithm (DUDA) are used to solve computationoffloading decision-making and offloading update ordermaking. At last, simulation results show that our strategy can save30%-60% system consumption, and the resource demand satisfactionrate can be guaranteed to reach 80% or more.
Resource Allocation and Distributed Uplink Offloading Mechanism in Fog Environment
Ruan, Linna,Liu, Zhoubin,Qiu, Xuesong,Wang, Zixiang,Guo, Shaoyong,Qi, Feng The Korean Institute of Communications and Informa 2018 Journal of communications and networks Vol.20 No.3
Applying fog computing technology to the shared pattern has two problems to cope with. One is to formulate a rational mechanism for resource allocation, and the other is to design computation offloading strategy of tasks based on resource allocation result. For solving these problems, we construct a three-layer F-RAN architecture first, which consists of terminal layer, access layer and network layer. Second, we adopt differential game and bipartite graph multiple matching algorithm to solve bandwidth resource allocation problem of fog node (FN)-access point (AP) and AP-shared terminal (ST), respectively. Third, Lyapunov theory and proposed deviation update decision algorithm (DUDA) are used to solve computation offloading decision-making and offloading update order-making. At last, simulation results show that our strategy can save 30%-60% system consumption, and the resource demand satisfaction rate can be guaranteed to reach 80% or more.
Statistical evaluation method for cylindricity deviation using local least squares cylinder
Peng Zheng,Dongliang Liu,Fengxia Zhao,Linna Zhang 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.8
Accurately evaluating cylindricity deviation is the most important requirement for the quality analysis and control of cylindrical products in modern industrial manufacturing processes. The cylindricity deviation of a whole cylinder is usually evaluated with measured points from the target surface. In practice, there are many local intrinsic characteristics that can be related to defects or manufacturing errors, and some precision cylindrical workpieces such as large bearings and rollers are very sensitive to the local cylindricity quality. Hence, it is necessary to evaluate and analyze the local cylindricity variation. In previous works, few methods have focused on the deviation evaluation of local patches of the measured workpieces, and variation of local characteristics could not be directly reflected. In this paper, we propose a new statistical evaluation method for cylindricity deviation using local least squares reference cylinder, which not only evaluates the local and global cylindricity deviations, but also presents deviation change features. This paper illustrates the theoretical basis of the statistical evaluation method, provides the evaluation operation process and parameters, and finally demonstrates the accuracy and feasibility of the proposed method according to the experimental results. The proposed method can be effectively used to provide a reliable verification of the product quality and to analyze the error sources in manufacturing and inspection phases.
( Yukun Huang ),( Lu Liu ),( Linna Chen ),( Lin Zhou ),( Xia Xiong ),( Yongqiong Deng ) 대한피부과학회 2021 Annals of Dermatology Vol.33 No.6
Background: The gut microbial dysbiosis and gender differences in the pathogenesis of acne vulgaris have long been postulated respectively. However, there was no data about a genderrelated discrepancy in gut microbiota and microbial metabolism in acne. Objective: This study aimed at identifying the underlying gender-related difference in gut microbiota and metabolism in acne vulgaris. Methods: Fecal samples were collected from 43 acne patients and 43 age and gender-matched controls. Gut microbiota was analyzed by sequencing the V3-V4 region of 16SrDNA gene and microbial metabolites were quantitatively detected using gas chromatography time-of-flight mass spectrometry. Results: Compared with healthy controls, the men had a lower abundance of 18 microbes such as Butyricicoccus , Clostridium sensu stricto, Faecalibaculum, Bacillus , Lactococcus , Blautia, Clostridiales, Lachnospiracea incertae sedis, Ruminococcus at genus level. However, the female patients only showed increased Clostridium sensu stricto and declined Oscillibacter and Odoribacterin. Additionally, the disordered metabolism of fatty acids was identified in male patients, while the dysbiosis of amino acids metabolism in female ones. Conclusion: The disorder of gut microbiota and metabolism in acne vulgaris was genderspecific, which supported the potential role of gender difference in the pathogenesis of this disease.
Manyi Cao,Peng Zheng,Dongliang Liu,Jingjing Chang,Linna Zhang 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.4
For workpieces with discontinuous surface characteristics such as shafts with keyways, obtaining continuous and valid measurement data is essential for assessing machining quality. In this paper, a Bayesian approach based on prior knowledge is proposed to evaluate the geometric characteristics of the discontinuous surface. Effective measurement data for discontinues surface is supplemented by accurate Bayesian parameter estimation. By using the supplemented data, the dimensional error and roundness error can be calculated. Using the in-process measurement method, the process progress can be adjusted in time according to the error value to realize the fusion control of dimension and roundness. Experimental investigations for machining multi-keyway shaft are carried out based on the proposed method. The results show that grinding workpieces with discontinuous surface by using the in-process measurement method based on Bayesian theory can significantly improve product quality and efficiency.