Evaluation of Airport Capacity through Agent Based Simulation

Yang Peng,Gao Wei,Sun Junqing,Sun Bin 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.6

The operational capacity of an airport must be dimensioned under a long-term strategic view as its productivity is determined by available infrastructure. To predict the airport capacity and satisfy the domestic airport property, the operation procedure of airport is analyzed from the point of Multi-agent system. The proposed agent based architecture is a microscopic model of aircrafts' movement; each aircraft is represented as an agent capable of getting its routing results from instructing agent, and makes its own deconflicition decisions on the basis of a part of the observable scene local to that aircraft. An example of airport capacity evaluation is given, and the result is verified through comparison with SIMMOD. Finally, further research is applied to analysis the reason for delay.

Investigation and Verification of Fatigue Characteristic on the Adhesive Slanted Interface of Specimen with Foaming Aluminum for Sliding Mode

Sun, Hong Peng,Cho, Jae Ung Korean Society for Precision Engineering 2015 International Journal of Precision Engineering and Vol.16 No.11

Foaming aluminum is a super light weight manufactured by adding thickener and foaming agent after dissolving aluminum ingot to be foamed in a sponge configuration. Studying on fatigue of adhesive structures configured with aluminum foam and fracture toughness for adhesive interfaces may be considered very important. In this study, DCB specimens of aluminum foam composite material were designed based on British industrial standard (BS 7991) and ISO international specification (ISO 11343), and Mode II tests were performed. Examination of graphs of loads and displacements according to fatigue cycles for the four types of specimens shows that time capable of withstanding fatigue loads is the longer, the larger the slanted angle of the tapered double cantilever beam model under the same fatigue load conditions. Since similar results to those from actual experiments were observed based on comparisons of actual experimental data with analysis data, the analysis results according to a finite element method employed in this study could be relied upon, and it is considered that structural safety could be found by imulations alone in lieu of experiments requiring much cost and time when such method as this is applied.

Dual-semiparametric regression using weighted Dirichlet process mixture

Sun, Peng,Kim, Inyoung,Lee, Ki-Ahm Elsevier 2018 Computational statistics & data analysis Vol.117 No.-

<P><B>Abstract</B></P> <P>An efficient and flexible Bayesian approach is proposed for a dual-semiparametric regression model that models mean function semiparametrically and estimates the distribution of the error term nonparametrically. Using a weighted Dirichlet process mixture (WDPM), a Bayesian approach has been developed on the assumption that the distributions of the response variables are unknown. The WDPM approach is especially useful for real applications that have heterogeneous error distributions or come from a mixture of distributions. In the mean function, the unknown functions are estimated using natural cubic smoothing splines. For the error terms, several different WDPMs are proposed using different weights that depend on the distances between the covariates. Their marginal likelihoods are derived, and the computation of marginal likelihood for WDPM is provided. Efficient Markov chain Monte Carlo (MCMC) algorithms are also provided. The Bayesian approaches based on different WDPMs are compared with the parametric error model and the Dirichlet process mixture (DPM) error model in terms of the Bayes factor using a simulation study, suggesting better performance of the Bayesian approach based on WDPM. The advantage of the proposed Bayesian approach is also demonstrated using the credit rating data.</P>

NOVEL HIERARCHICAL NANORODS OF SILICON-DOPED Bi2O2CO3 AND ITS PHOTOCATALYTIC ACTIVITY

Peng Sun,MINDONG CHEN,YUNXUAN ZHAO,JUAN XU,WENQING YAO,YONGFA ZHU,FEI TENG,YUJIAN JIN 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.8

The silicon-doped Bi2O2CO3 nanorods with the interesting hierarchical structure are synthesized by a simple hydrothermal method. The samples are characterized by XRD, X-ray photoelectron spectroscopy (XPS), scanning electron microscope (SEM), high-resolution transmission electron microscopy (HRTEM), Ultraviolet-visible diffuse refectance spectra (UV-DRS) and nitrogen sorption isotherms. It is found that with the increase of silicon content, the XRD peak of the sample significantly shifts toward a low diffraction angle and the particle morphologies change from nanosheets, nanoflowers to hierarchical nanorods. Moreover, the silicon-doped Bi2O2CO3 hierarchical nanorods exhibit improved photocatalytic degradation activities for different types of dyes under simulated solar light irradiation. The improved activity has been mainly attributed to the unique hierarchical nanorods structure and the formation of Si–O–Bi bonds.

Design of microspeaker module considering added stiffness

Peng Sun,Dan-Ping Xu,황상문 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.5

Mobile devices are becoming highly multi-functional due to the development of communication technology. The microspeaker moduleused in those devices, such as mobile phones or pads, is also playing important roles inside mobile devices. The conventional microspeakermodules normally have two demerits including a non-standardized total shape for different types of devices and a size toolarge for miniaturization design. This paper reports a novel structure design of a microspeaker module considering the added stiffness tominimize the total dimensions without affecting the acoustic performance. At the same time, a standardized novel microspeaker designwas applied to different types of mobile devices with sustained performance. The finite element method (FEM) was applied for electromagneticanalysis and dynamic analysis. The respond surface method (RSM) was used for optimization. As a design result, the totalvolume was decreased by 51.8%. The simulation showed that compared to the conventional design, the novel design maintains the resonancefrequency and sound pressure level (SPL) value. Prototypes were constructed and acoustic tests were conducted. The simulationresults were verified experimentally. The results revealed the novel design to have a similar resonance frequency with conventional design. In addition, the mean SPL value from 800 Hz to 5 kHz for the conventional and novel designs were maintained with 94.33 dB and94.98 dB, respectively, that means novel design has maintained acoustic performance as conventional design.

A Study on the Fracture Characteristics of Tapered Double Cantilever Specimens Bonded with Aluminum Foams of Varying Thicknesses

Sun, Hong Peng,Cho, Jae Ung Korean Society for Precision Engineering 2015 International Journal of Precision Engineering and Vol.16 No.10

In this study, the fracture characteristics on the adhesive interfaces in the structures composed of aluminum foam were investigated by using three kinds of TDCB specimens with the thicknesses of 25 mm, 50 mm and 75 mm and the length of 200 mm. According to the test results for the 25 mm-thick specimens, the maximum reaction force of about 200 N was shown when forced displacement progressed as the amount of about 6 mm to 7 mm. And the reaction force nearly was disappeared after the forced displacement progressed as the amount of about 22 mm. Similar trends were observed in cases of other specimens with thicknesses of 50 mm and 75 mm. As the forced displacement was gradually increased,fractures began to occur with the separation from the bonded interface beginning when the equivalent stress happened at the bonded interface was larger than the adhesive stress of 0.167 MPa at the bonding interface. Such experimental results can be verified by simulation analysis results. Therefore, fracture characteristics of aluminum foam consisting of the porous cores are considered to be identifiable through only simulations instead of experiments without requiring significant cost or time.

The Influence of E-Service Quality and Flow Theory on The Repurchase Intention to Online Mart in China

Sun, Peng(손붕),Shin, Geon-Chul(신건철) 대한경영학회 2013 大韓經營學會誌 Vol.26 No.5

The Pyongnam basin: A local basin witnessed global tectonics

Peng Peng,Mingguo Zhai,Jinghui Guo,Yanbin Zhang,Bo Hu,Lei Zhao,Fengbo Sun,Xiangdong Su,Xiaohui Zhang,Qiuli Li,Chang-Whan Oh,Xu Liu 대한지질학회 2022 대한지질학회 학술대회 Vol.2022 No.10

H_3PW_12_O40/SiO_2 for sorbitol dehydration to isosorbide: High efficient and reusable solid acid catalyst

Peng Sun,He Huang,Ding Hua Yu,Yi Hu,Zhen Chen Tang,Jiao Jiao Xia,Heng Li 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.1

Tungstophosphoric acids (PW) supported on various metal oxides (SiO_2, γ_Al_2O_3, TiO_2, ZrO_2 and CeO_2)were synthesized and used as catalysts for sorbitol dehydration to isosorbide for the first time. 30% PW/SiO_2 exhibited the best catalytic performance for sorbitol dehydration, over which 56% isosorbide selectivity could be gained at a 95% sorbitol conversion at 250℃. The catalytic performance of regenerated 30% PW/SiO_2 catalysts by dichloromethane elution showed no loss after recycling five runs. Characterizations with UV-Vis, XRD, NH3-TPD and thermal analysis techniques revealed that PW had a good dispersion, and the primary Keggin structure was preserved after supporting PW on different supports. The interaction between PW and oxides resulted in different acidity of catalysts,which affected conversion of sorbitol and selectivity for isosorbide. The final acidity order of supported PW catalysts was the following: SiO_2>γ_Al_2O_3>TiO_2 ≈ZrO_2>CeO_2.

Condition Assessment for Wind Turbines with Doubly Fed Induction Generators Based on SCADA Data

Sun, Peng,Li, Jian,Wang, Caisheng,Yan, Yonglong The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.2

This paper presents an effective approach for wind turbine (WT) condition assessment based on the data collected from wind farm supervisory control and data acquisition (SCADA) system. Three types of assessment indices are determined based on the monitoring parameters obtained from the SCADA system. Neural Networks (NNs) are used to establish prediction models for the assessment indices that are dependent on environmental conditions such as ambient temperature and wind speed. An abnormal level index (ALI) is defined to quantify the abnormal level of the proposed indices. Prediction errors of the prediction models follow a normal distribution. Thus, the ALIs can be calculated based on the probability density function of normal distribution. For other assessment indices, the ALIs are calculated by the nonparametric estimation based cumulative probability density function. A Back-Propagation NN (BPNN) algorithm is used for the overall WT condition assessment. The inputs to the BPNN are the ALIs of the proposed indices. The network structure and the number of nodes in the hidden layer are carefully chosen when the BPNN model is being trained. The condition assessment method has been used for real 1.5 MW WTs with doubly fed induction generators. Results show that the proposed assessment method could effectively predict the change of operating conditions prior to fault occurrences and provide early alarming of the developing faults of WTs.