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RISS 인기검색어
- 검색키워드
- 저자 : Jifeng Guo (검색결과 4 건)
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Research on Electrical-Mechanical Energy Transfer Process of Vehicle Horn
Jifeng Guo,Honge Ren,Zhiqiang Ma,Yan Ma 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.6
Vehicle horn is a kind of electro acoustic device. The energy transfer process were analyzed through the energetic coil current, magnetic force, and displacement curves which had gotten before, and the process was happened in stage of the action, transaction and reciprocating vibration. The reasonable criterion for checking reciprocating vibration and sounding of horn was proposed, and the criterion was proved by changed the design parameters. The conclusions are of great value for further optimizing of reliability of the electro acoustic device such as electromagnetic horn.
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Modified Smith Predictor Design and Its Applications to Long Time Delay Systems
Honge REN,Xuehai CAO,Jifeng GUO 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5
For the system that can’t be described by the precise mathematical model and has long time delays, the conventional Smith predictor presents poor stability and large overshoot. Based on the conventional Smith predictor, an improved fuzzy adaptive PID-Smith predictor is proposed. It uses a fuzzy self-tuning PID controller as the primary controller instead of the traditional PID controller. In addition, a feedback loop and an adaptive regulator are imported to ensure the stability and enhance the adaptability of the variable environment. The simulation results show that the new scheme has excellent stability and robustness and can solve the problem of large overshoot in long time delay systems, even when the model mismatch rate comes to 40%.
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Xiao Wei,Miaomiao Yu,Jifeng Guo 한국섬유공학회 2019 Fibers and polymers Vol.20 No.3
A core-shell surface-imprinted polymer was successfully synthesized on the surface of silica spheres by precipitation polymerization. The polymers were used to selectively identify dichlorophen in complex environmental system. The physical-chemical properties of the silica sphere molecularly imprinted polymers were analyzed by scanning electron microscopy and transmission electron microscopy scans characterization. The adsorption properties of core-shell polymers were examined by adsorption isotherms, kinetics and selectivity experiments. The Langmuir adsorption isotherm well fitted the adsorption experimental data, and an increase of temperature enhanced the adsorption capacity. The maximum binding capacity of imprinted polymers reached 72.46 mg g-1 at 318 K. Meanwhile, the adsorption data of binding experiments were well-fitting by the pseudo-second-order equation. Compared with nonimprinted polymer, the imprinted polymer not only has specific selectivity towards dichlorophen but also has higher adsorption performance. Moreover, via the regeneration experiments, it has been demonstrated that the MIPs have certain stability to the adsorption for the target, which provides a good reference for the adsorption of dichlorophen by the imprinted polymer in water.
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Refinement of Kinect Sensor’s Depth Maps Based on GMM and CS Theory
Qian Zhang,ShaoMin Li,Wenfeng Guo,Pei Wang,Jifeng Huang 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5
As the Microsoft’s Kinect sensor can generate a real-time dense depth map with relatively commercial available, it is widely used in depth map capturing. However, there are some artifacts like holes, instability of the raw input data, which seriously affect the application. To solve this problem, in this paper, we propose a novel depth map refinement method based on by GMM and CS theory which enable the kinect sensor generate a dense depth map, the background large holes are filled without blurring, and the edges of the objects are sharpened, median filter is used to remove noise. Experiments on captured indoor data demonstrate the effectiveness of the method especially in the edge area and occlusion area that our method can obtain better results.
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