电子调速器控制器的电磁兼容分析与试验验证

基于辐射发射的形成机理,以某型号电子调速器控制器为目标,利用EMSCAN电磁干扰扫描系统对控制器进行近场辐射测试,总结出一套切实可行的辐射发射分析与试验验证方法.在此基础上,对该型号电子调速器控制器进行了整改设计,并进行了试验验证.结果 表明:基于EM-SCAN系统的分析及整改方法效果明显,缩短了电子产品电磁兼容问题的整改设计周期,并节约了测试成本.     

Study on Thermal Response of Adhesively Bonded Honeycomb Sandwich Structure in High Temperature

Fire Technology - Thermal response of the honeycomb sandwich structure was evaluated using the steady-state method at different temperatures ranging from 100°C to 400°C. The results...     

How to extract traditional cultural design elements from a set of images of cultural relics based on F-AHP and entropy

Multimedia Tools and Applications - The creative cultural product design, relating to both typical regional cultures and traditional cultural elements, is a hot issue in recent years. However,...     

Designing amino-based ionic liquids for improved carbon capture: One amine binds two CO2

Generally, amine group captures CO₂ according to 2:1 or 1:1 stoichiometry. Here, we report a kind of improved carbon capture using amino-functionalized ionic liquids (ILs) through 1:2 stoichiometry. A serial of amino-functionalized ILs various with basicity and steric hindrance of anion were designed, prepared, and applied in CO₂ capture. Through a combination of absorption experiment, quantum chemical calculation, spectroscopic investigation and calorimetric method, the results indicated that one amine group could bind two CO₂ through proton transfer (PT) process and intramolecular hydrogen bond formation, which leading to enhanced capacity that breaks through equimolar. The basicity and steric hindrance of anion play a significant role in promoting amine group to capture two CO₂. [P₆₆₆₁₄]₂[Asp] with dual anion was further designed and synthesized to promote PT process, which showed high capacity of 1.96 mol/mol IL at 30°C and 1 atm as well as excellent reversibility. © 2018 American Institute of Chemical Engineers AIChE J, 65: 230–238, 2019     

Detecting computer generated images based on local ternary count

Local binary patterns was used to distinguish the Photorealistic Computer Graphics and Photographic Images, however the dimension of the extracted features is too high. Accordingly, the Local Ternary Count based on the Local Ternary Patterns and the Local Binary Count was developed in this study. Furthermore, a novel algorithm is presented based on the Local Ternary Count to classify photorealistic Computer Graphics and Photographic images. The experiment results show that the proposed algorithm effectively reduces the dimension of the classification features and maintains a good classification performance.