A Kriging Based Forecasting and Scheduling System for Scientific Computing Cloud Applications

Zhaojun Li,Xinyu Wang,Zheng Li,Xicheng Wang,Keqiu Li 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3

Regarding to the theories and techniques of cloud computing having been developed and applied in scientific computing field, tasks can be conveniently managed by the cloud platform on the basis of standardized scheduling system with cost (resources consumed) recorded. However, there are two issues which drag the customers’ attention: 1) When will the tasks expect for termination (response time) under a specific resource scheduling; 2) What is the best scheduling solution by considering cost. In order to reply these two questions, a Kriging based forecasting and scheduling system has been proposed in this paper. With the cooperation between the scientific designer and the cloud designer, the design variables for evaluating the cloud applications can be achieved; Kriging surrogate model is then introduced to simulate the approximate functional relationship between the design variables and the response time of the tasks; Sequential quadratic programming optimization algorithm then provides the best scheduling solution for the tasks if cost constraints are to be met. Two real scientific computing cloud applications have been testified on an OpenStack cloud platform, with consequences described in details. The work in this paper has put forward a novel way for the designers and the customers on predictable and reasonable scheduling strategies for the various resource-intensive scientific computing cloud applications with surrogate models and optimization algorithms.

Distributed Event-triggered Containment Control for Discrete-time Multi-agent Systems

Zhaojun Tang,Chuandong Li 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.6

This paper investigates the event-triggered containment control for discrete-time multi-agent systems. Event-triggered control strategies are employed in order to reduce the number of controller actuation updates for multi-agent systems with limited resources. It is assumed that each follower in the system updates its state only at some instants which are determined by the proposed event-triggered condition. Both centralized and decentralized event-triggered strategies are proposed to solve the containment control problem. Convergence analysis is given with the help of matrix theory and Lyapunov method, and it is showed that the proposed strategy does not exhibit Zeno behaviors. Numerical simulations are given to illustrate the effectiveness of the theoretical results.

Genome-wide identififi cation and expression analysis of the frigida domain gene family in Prunus mume (Prunus mume Sieb. et Zucc.)

Hantao Li,Jie Gao,Ting Shi,Shahid Iqbal,Zhaojun Ni,Zhihong Gao 한국원예학회 2021 Horticulture, Environment, and Biotechnology Vol.62 No.5

Frigida genes play a key role in regulating fl owering time in plants. In this study, we identifi ed 12 PmFRL genes and namedthem according to their chromosomal positions. These genes are unevenly distributed on fi ve chromosomes. Phylogeneticanalysis of Frigida-like proteins of four Rosaceae species and Arabidopsis thaliana showed that these proteins could bedivided into fi ve subfamilies (I–V), and subfamily I ( FRI ) was absent in Rosaceae species. To further reveal the potentialfunctions of these proteins, we performed duplication analysis and found three tandem duplication events and one segmentalduplication event. Tandem duplication promoted the expansion and evolution of the PmFRL genes. RNA-seq analysis showedthat the PmFRL genes were expressed in diff erent tissues, but there were signifi cant diff erences in the expression of somegenes during dormancy. RT-qPCR results supported the RNA-seq results, suggesting that PmFRL genes may be involvedin the regulation of dormancy in Japanese apricot. In conclusion, our comprehensive analysis provides information on theevolution and possible functions of PmFRL genes, laying a foundation for further research on the PmFRL family.

Preparation of nano-sized Mg-doped copper silicate materials using coal gangue as the raw material and its characterization for CO2 adsorption

Yu Wu,Zhaojun Wu,Kai Liu,Fu Li,Yujie Pang,Jianbin Zhang,Huayan Si 한국화학공학회 2020 Korean Journal of Chemical Engineering Vol.37 No.10

This work presents a simple method for the preparation of the Mg-doped nanocomposite copper silicates (Mgx-Cu1x-SiO3) (x=0.25, 0.5, 0.75 and 0.9) using coal gangue waste as the silicon source for CO2 capture at low temperature. The as-prepared Mgx-Cu1x-SiO3 was systemically characterized by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD), X-ray photoelectron spectroscopy (XPS) and Brunauer-Emmett-Teller surface area analysis (BET). The results suggest that all Mgx-Cu1x-SiO3 possess large surface areas, micropores and mesoporous structures composed of the agglomerates of small nanoparticles. They exhibit high CO2 adsorption capacity at 298.15 K under 1 bar, and that of Mg0.9-Cu0.1-SiO3 was the highest with the value of 16.73 cm3/g. The Freundlich isotherm model fits the CO2 adsorption isotherm well. Thermodynamic analysis indicates that the CO2 adsorption on Mg0.9-Cu0.1-SiO3 is exothermic (Ho<0), chaotic (So<0), and spontaneous (Go<0). This work highlights the low-temperature adsorption behavior of silicate materials on CO2, which can provide some research basis for the utilization of silica in coal gangue.

Study on failure warning of tool magazine and automatic tool changer based on tool-pulling force

Hailong Tian,Zhaojun Yang,Guofa Li,Chuanhai Chen 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.9

A tool magazine and automatic tool changer is used to store and change tools in a machining center. Its failures would increase the maintenance time and repair cost. For decreasing failures, an early warning system of failures can be used to detect characteristic signals which can reflect potential failures. The tool-pulling force is increasing to peak value instantly when the tool changing arm draws a tool holder out of a tool pocket. To predict failures, the tool-pulling force signals are analyzed and the relationship between the maximum tool-pulling force and the severity of the lock spring failure is established, then, calculation method of the tool-pulling force threshold of the lock spring failure which can lead to tool falling failures is developed and demonstrated. The verification testing results show that the failure warning method based on the tool-pulling force threshold is feasible to predict the tool falling failures.

Preparation of mesoporous silica from coal slag and its metal ion adsorption behavior

Xinying Zhang,Yu Wu,Xuefang Li,Xianlong Meng,Huihu Shi,Zhaojun Wu,Jianbin Zhang 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.5

A novel mesoporous silica (MS) with the high specific surface area up to 1,199m2/g was prepared from coal slag by SO3 2 leaching and hydrothermal synthesis. Its application in metal ion removal was explored using Pb2+, Cu2+, Co2+ and Cd2+ as the model ions. The effects of adsorption time, pH, initial metal ion concentration, adsorbent dosage and adsorption temperature on the metal ion adsorption behaviors of the as-prepared MS were systematically, and the maximum adsorption capacities were measured to be 55.76mg·g1, 33.49mg·g1, 24.29mg·g1 and 22.98mg· g1 for Pb2+, Cu2+, Co2+ and Cd2+, respectively. The metal ion adsorption on the as-prepared MS followed pseudo-second- order kinetics, and the adsorption isotherm fitted the Langmuir isotherm model, indicating that the adsorption was spontaneous, endothermic and enthalpy driven.

Urea- And Nitrapyrin-Affected N2O Emission is Coupled Mainly with Ammonia Oxidizing Bacteria Growth in Microcosms of Three Typical Chinese Arable Soils

Yongchao Liang,Peiyuan Cui,Fenliang Fan,Zhaojun Li,Alin Song 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Identification of growth trait related genes in a Yorkshire purebred pig population by genome-wide association studies

Qingli Meng,Kejun Wang,Xiallei Liu,Haishen Zhou,Li Xu,Zhaojun Wang,Meiying Fang 아세아·태평양축산학회 2017 Animal Bioscience Vol.30 No.4

Objective: The aim of this study is to identify genomic regions or genes controlling growth traits in pigs. Methods: Using a panel of 54,148 single nucleotide polymorphisms (SNPs), we performed a genome-wide Association (GWA) study in 562 pure Yorshire pigs with four growth traits: average daily gain from 30 kg to 100 kg or 115 kg, and days to 100 kg or 115 kg. Fixed and random model Circulating Probability Unification method was used to identify the associations between 54,148 SNPs and these four traits. SNP annotations were performed through the Sus scrofa data set from Ensembl. Bioinformatics analysis, including gene ontology analysis, pathway analysis and network analysis, was used to identify the candidate genes. Results: We detected 6 significant and 12 suggestive SNPs, and identified 9 candidate genes in close proximity to them (suppressor of glucose by autophagy [SOGA1], R-Spondin 2 [RSPO2], mitogen activated protein kinase kinase 6 [MAP2K6], phospholipase C beta 1 [PLCB1], rho GTPASE activating protein 24 [ARHGAP24], cytoplasmic polyadenylation element binding protein 4 [CPEB4], GLI family zinc finger 2 [GLI2], neuronal tyrosine-phosphorylated phosphoinositide-3-kinase adaptor 2 [NYAP2], and zinc finger protein multitype 2 [ZFPM2]). Gene ontology analysis and literature mining indicated that the candidate genes are involved in bone, muscle, fat, and lung development. Pathway analysis revealed that PLCB1 and MAP2K6 participate in the gonadotropin signaling pathway and suggests that these two genes contribute to growth at the onset of puberty. Conclusion: Our results provide new clues for understanding the genetic mechanisms underlying growth traits, and may help improve these traits in future breeding programs.