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- 저자 : Ju Zhang (검색결과 311 건)
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Analysis of Factors Impacting Atmospheric Pressure Plasma Polishing
Zhang, Ju-Fan,Wang, Bo,Dong, Shen Korean Society for Precision Engineering 2008 International Journal of Precision Engineering and Vol.9 No.2
Atmospheric pressure plasma polishing (APPP) is a noncontact precision machining technology that uses low temperature plasma chemical reactions to perform atom-scale material removal. APPP is a complicated process, which is affected by many factors. Through a preliminary theoretical analysis and simulation, we confirmed that some of the key factors are the radio frequency (RF) power, the working distance, and the gas ratio. We studied the influence of the RF power and gas ratio on the removal rate using atomic emission spectroscopy, and determined the removal profiles in actual operation using a commercial form talysurf. The experimental results agreed closely with the theoretical simulations and confirmed the effect of the working distance. Finally, we determined the element compositions of the machined surfaces under different gas ratios using X-ray photoelectron spectroscopy to study the influence of the gas ratio in more detail. We achieved a surface roughness of Ra 0.6 nm on silicon wafers with a peak removal rate of approximately 32 $mm^{3}$/min.
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Analysis of Factors Impacting Atmospheric Pressure Plasma Polishing
Ju-Fan Zhang,Bo Wang,Shen Dong 한국정밀공학회 2008 International Journal of Precision Engineering and Vol.9 No.2
Atmospheric pressure plasma polishing (APPP) is a noncontact precision machining technology that uses low temperature plasma chemical reactions to perform atom-scale material removal. APPP is a complicated process, which is affected by many factors. Through a preliminary theoretical analysis and simulation, we confirmed that some of the key factors are the radio frequency (RF) power, the working distance, and the gas ratio. We studied the influence of the RF power and gas ratio on the removal rate using atomic emission spectroscopy, and determined the removal profiles in actual operation using a commercial form talysurf. The experimental results agreed closely with the theoretical simulations and confirmed the effect of the working distance. Finally, we determined the element compositions of the machined surfaces under different gas ratios using X-ray photoelectron spectroscopy to study the influence of the gas ratio in more detail. We achieved a surface roughness of Ra 0.6 ㎚ on silicon wafers with a peak removal rate of approximately 32 ㎣/min.
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Isoforms of wild type proteins often appear as low molecular weight bands on SDS-PAGE.
Zhang, Ju,Lou, Xiaomin,Shen, Haihong,Zellmer, Lucas,Sun, Yuan,Liu, Siqi,Xu, Ningzhi,Liao, D Joshua Wiley 2014 Biotechnology Journal Vol.9 No.8
<P>Immunoblotting, after polyacrylamide gel electrophoresis with sodium dodecyl sulfate (SDS-PAGE), is a technique commonly used to detect specific proteins. SDS-PAGE often results in the visualization of protein band(s) in addition to the one expected based on the theoretical molecular mass (TMM) of the protein of interest. To determine the likelihood of additional band(s) being nonspecific, we used liquid chromatography - mass spectrometry to identify proteins that were extracted from bands with the apparent molecular mass (MM) of 40 and 26 kD, originating from protein extracts derived from non-malignant HEK293 and cancerous MDA-MB231 (MB231) cells separated using SDS-PAGE. In total, approximately 57% and 21% of the MS/MS spectra were annotated as peptides in the two cell samples, respectively. Moreover, approximately 24% and 36.2% of the identified proteins from HEK293 and MB231 cells matched their TMMs. Of the identified proteins, 8% from HEK293 and 26% from MB231 had apparent MMs that were larger than predicted, and 67% from HEK293 and 37% from MB231 exhibited smaller MM values than predicted. These revelations suggest that interpretation of the positive bands of immunoblots should be conducted with caution. This study also shows that protein identification performed by mass spectrometry on bands excised from SDS-PAGE gels could make valuable contributions to the identification of cancer biomarkers, and to cancer-therapy studies.</P>
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Nonlinear Hybrid Controller Design for Perturbed Quadrotor Robot by Uncertainties
Ju-Qian Zhang,Yu-Ru Shi,Yong Wu,Bang-chun Wen 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.11
In this paper, a novel nonlinear hybrid observers (HOB) based dynamic surface control (DSC) system, which integrates nominal and compensation controller, is designed for autonomous quadrotor robot perturbed by the uncertainties, e.g., external disturbances and measurement-delay. In this hybrid control system, the nominal controller based on dynamic surface control superior to the backstepping technique is the main controller, and the disturbance observer (DOB) is incorporated as the compensation controller to eliminate the effect of uncertainties caused by model mismatch and external disturbances. In addition, in order to relax the impact of measurement-delay induced by sensors of poor quality and heavy computation burden, the measurement-delay observer (MOB) is derived. Next, stability of the closed-loop control system is analytically proved based on Lyapunov theorem. Finally, comparative controllers are evaluated on simulation and experimental environments to demonstrate the effectiveness and merits of the proposed controller for quadrotor robot against the uncertainties.
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Zhang, Cheng,Ju, Haoran,Zhang, Dalin,Wu, Shuijin,Xu, Yijun,Wu, Yingwei,Qiu, Suizheng,Su, G.H. Korean Nuclear Society 2020 Nuclear Engineering and Technology Vol.52 No.5
The flow characteristics of reactor fuel assembly always intrigue the designers and the experimentalists among the myriad phenomena that occur simultaneously in a nuclear core. In this work, the visual experimental method has been developed on the basis of refraction index matching (RIM) and particle image velocimetry (PIV) techniques to investigate the detailed flow characteristics in China fast reactor fuel subassembly. A 7-rod bundle of simulated fuel subassembly was fabricated for fine examination of flow characteristics in different subchannels. The experiments were performed at condition of Re=6500 (axial bulk velocity 1.6 m/s) and the fluid medium was maintained at 30℃ and 1.0 bar during operation. As for results, axial and lateral flow features were observed. It is shown that the spiral wire has an inhibitory effect on axial flow and significant intensity of lateral flow mixing effect is induced by the wire. The root mean square (RMS) of lateral velocity fluctuation was acquired after data processing, which indicates the strong turbulence characteristics in different flow subchannels.
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Control of a Laboratory 3-DOF Helicopter: Explicit Model Predictive Approach
Ju Zhang,Xinyan Cheng,Jiaqi Zhu 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.2
A helicopter flight control system is a typical multi-input, multi-output system with strong channel couplingand nonlinear characteristics. This paper presents an explicit model predictive control (EMPC) for attituderegulation and tracking of a 3-Degree-of-Freedom (3-DOF) helicopter. A state-space representation of the systemis established according to the characteristics of each degree-of-freedom motion. Multi-Parametric Quadratic Programming(MPQP) and online computation processes for explicit model predictive control and controller design fora 3-DOF helicopter are discussed. The controller design for set-point regulation and tracking time-varying referencesignals of a 3-DOF helicopter are presented respectively. Numerical study of explicit model predictive controlfor attitude regulation and tracking of a 3-DOF helicopter are conducted. A hardware-in-the-loop experimentalstudy of explicit model predictive control of a 3-DOF helicopter is made. To analyze the performances of an EMPCcontrolled helicopter system, an Active Mass Disturbance System and manual interference are considered in comparisonwith PID scheme. Numerical simulation and HIL experimental studies show that explicit model predictivecontrol is valid and has satisfactory performance for a 3-DOF helicopter.
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CONSUMER CURIOSITY, ANTICIPATION, AND CLICK-THROUGH: NEURAL SIGNATURES OF DIGITAL BUZZ
Jing Zhang,Jin Ho Yun,Eun-Ju Lee 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
Digital and social media has become an indispensable channel of promotion and marketing to the enterprises. For example, compared to other means of promotional channels, such as television advertising, newspapers, social network services (SNS) are more competitive, more convenient, and lower-cost. Because individuals compose or share those posts anytime, anywhere, information spreads fast and wide on social media. SNS posts can affect people's perception, thus affecting their purchase intention and behavior. A large number of researchers investigated academic issues involved SNS, such as the influence of eWOM in social media on consumers' purchase intentions (Erkan & Evans, 2016). According to Lin and Lu’s research (2011), which suggests that gender difference also exists in social media. In addition, a study identified attributes of social media messaging activities and examined the relationships among those perceived activities, value equity, relationship equity, brand equity, customer equity, and purchase intention through a structural equation model (Kim & Ko, 2012). In this study, we focus on the motivational antecedents of digital buzz on digital and social media. Among many performance metrics of digital marketing, the most important one that really matters to advertisers is click-through. Click-through is believed to reflect viewers’ interest in the product contents that are being shown on screen, and based on that assumption, it opens a new navigation tab, such as the advertiser’s web site that can provide information about products and services of an advertising company. However, there is a caveat here. Since advertisements in digital and social media are often placed on top of the contents that the viewers have already been reading, viewers can accidentally click on the internet advertisements in which they have no interests. Viewers are only annoyed by intrusive re-routing during their digital activities. Hence, it is important that the digital media marketer to be able to distinguish between the click-throughs, knowing the difference between the clicks that are genuinely reflective of a viewer’s interest, or the rest of clicks that are not. For this purpose, we propose consumer curiosity and anticipation as drivers of click-through that are meaningful to digital markers. Consumer curiosity is an important variable that results in click-through behavior, digital propagation or buzz, and further stimulates consumers' consumption activities. In recent years, there are many studies to verify this theory. Online atmospherics have an impact on customer emotions, and perceptual curiosity has a moderating effect existed in the two variables (Koo & Ju, 2010). However, the research about curiosity’s mediation effect on purchase intention aroused by SNS contents is still limited. In addition, the neural research in this field is still limited. The research seeks to understand how the SNS contents affect customer’s curiosity toward the product which the content mentioned. Furthermore, to find the relationship between curiosity and the purchase intention by using neuromarketing methodology. Our goal is to discover the neural signatures of consumers’ motivational state that leads to click-through, exploration of contents, and finally digital buzz behavior. EEG and fMRI are commonly research approaches used in the neuroscience field. EEG detect electric activities in the brain waves and fMRI measures hemodynamic events to discover individuals’ cognitive and motivational states. After content-analyzing top 10 most shared posts in the fashion brands Facebook official account which included luxury brands such as GUCCI, Luis Vuitton, and Herm?s), we extract the attractive posts’ content attributes to be the level of accuracy, graphic quality, and information value. Then, we create two different simulations of social media activities that instigates viewer curiosity at differing levels. By designing an online experiment that examines how different arrays of information can create different levels viewer curiosity in user posts, and by measuring viewers’ intention to propagate the posts, we are able to discover neural signatures of digital buzz. Potential implications to digital marketing of this research in establishing meaningful performance metrics for digital marketing are discussed.
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Dong-Ju Chen,Li-Hua Yan,Qian Li,Cai-jiao Zhang,Chuan-Ling Si,Zhong-Yuan Li,Ya-Jian Song,Hao Zhou,Tong-Cun Zhang,Xuegang Luo 한국식품과학회 2017 Food Science and Biotechnology Vol.26 No.6
Conjugated linoleic acid (CLA) isomers, c9, t11- CLA and t10, c12-CLA, have been proved to exhibit excellent biomedical properties for potential use in anticancer applications and in reducing obesity. Acer truncatum Bunge (ATB), which is rich in unsaturated fatty acids, including oleic acid, linoleic acid, and nervonic acid, is a new resource for edible oil. In the present study, we developed a new method for producing two CLA isomers from ATB-seed oil by fermentation using Lactobacillus plantarum CGMCC8198 (LP8198), a novel probiotics strain. Polymerase chain reaction results showed that there was a conserved linoleate isomerase (LIase) gene in LP8198, and its transcription could be induced by ATBseed oil. Analyses by gas chromatography–mass spectrometry showed that the concentration of c9, t11-CLA and t10, c12-CLA in ATB-seed oil could be increased by about 9- and 2.25-fold, respectively, after being fermented by LP8198.
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