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Xia Chen,Tingjie Lu,Longfei Guo,Yu Shen,Chenguang Wang 보안공학연구지원센터 2014 International Journal of Smart Home Vol.8 No.6
Some studies have shown that the attitude and intention of using mobile LBS is strongly influenced by the privacy factor. Since LBS bears prominent privacy attribute, our study selects the aggregation form based on Microblog content in the LBS of SinaMicroblog, namely, LBS Microblog, asthe object of study, acquires an actual Microblog user data sample of over 30,000 items, with over 8.64 million Microblog postings and 20 million Microblog re-postings of these users, conducts a contrastive research on the adoption behavior in LBS of users at Hub nodes and common nodes in social network through relative analysis, and discusses the diffusion rule of LBS through BASS model. The study finds that the structure attribute of users in social network has strong influence on the adoption rule of LBS; the adoption of different types of LBS by users is obviously in consistency; LBS is remarkably influenced by emergencies related to privacy.
Zhenzeng Wu,Tingjie Chen,John Tosin Aladejana,Yves Kouomo Guelifack,Dehong Li,Xinjun Hou,Xiaodong (Alice) Wang,Min Niu,Yongqun Xie 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.98 No.-
Fire safety issues have attracted much attention since they cause enormous loss of lives and properties. Inthis study, the sustainable aluminophosphate (AP) adhesive is developed as afire retardant for improvingthefire performance of medium-densityfiberboard (MDF). The properties of AP adhesive and AP-basedMDF were evaluated based on a scanning electron microscope, thermogravimetric analysis, X-raydiffraction, X-ray photoelectron spectroscopy, and cone calorimetry. The thermostability andfireperformance of MDF are significantly improved by the deposition of the AP inorganic layer on the woodfibers surface, which could protect woodfibers from further oxidation and take away part of the heat. Compared to control sample (UF sample), the pkHRR (151.7 kW m 2), THR (66.0 MJ m 2), TTI (21 s), andmean EHC (14.6 MJ kg 1) of AP-based MDF was reduced by 52.7%, 39.0%, 41.7%, and 32.8%, respectively. Also, the existence of the AP inorganic layer is beneficial to netting the solid phase and volatileflammablecomponents in char residue of MDF, resulting in large mass loss rate, off-gases (CO and CO2) release andsmoke suppression properties. Therefore, AP could improve thefire performance of MDF.
Zhang Xiao,Tao Ran,Xu Xiaoming,Wang Tingjie,Zhang Hui 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
Finite control set-model predictive control (FCS-MPC) has become a hotspot for power electronics applications and research in recent years due to its conceptual simplicity, ease of handling system constraints and excellent multivariable control capability. However, the traditional FCS-MPC vector selection direction is more fi xed and the steady-state performance of the system is poor, while the speed outer loop uses PI control and the speed regulation eff ect is easily infl uenced by the motor parameters and cannot solve the problem of fast and overshoot free at the same time. To address these problems, a threelevel two-vector model predictive current control method for permanent magnet synchronous motors is proposed based on a self-anti-disturbance technique. For the speed outer loop, a fi rst-order linear active disturbance rejection control is used instead of the traditional PI control, which solves the problem of overshooting and speed incompatibility and improves the robustness of the system; for the current inner loop, the idea of dual-vector model prediction is introduced to expand the selection range of the voltage vector, making the selection of the voltage vector more accurate, while a vector partitioning strategy is used to reduce the computational burden. The control system is modelled and simulated using MATLAB/Simulink. Simulation and test results show that the method has good parameter robustness, fast dynamic response and satisfactory steady-state performance.