In an aeroengine, the fuel regulator controls the fuel flow by adjusting the flow area of the fuel metering valve (FMV). The flow area of the FMV is regulated by controlling the motion of the spool of the FMV relative...
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We consider an optimal portfolio problem with consumer price index (CPI) and partial information in a continuous time setting, where the insurer attempts to maximize her expected constant absolute risk aversion (CARA)...
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Traditional gyrocompasses,while capable of providing autonomous directional guidance and path correction,face limitations in widespread applications due to their large size,making them unsuitable for compact *** syste...
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Traditional gyrocompasses,while capable of providing autonomous directional guidance and path correction,face limitations in widespread applications due to their large size,making them unsuitable for compact *** system(MEMS)gyrocompasses offer a promising alternative for ***,current MEMS gyrocompasses require the integration of motor rotation modulation technology to achieve high-precision north-finding,whereas conventional motors in previous research introduce large volume and residual magnetism,thus undermining their size ***,we innovatively propose a miniature MEMS gyrocompass based on a MEMS traveling-wave micromotor,featuring the first integration of a chip-scale rotational actuator and combined with a precise multi-position braking control system,enabling high accuracy and fast *** proposed gyrocompass made significant advancements,reducing its size to 50×42.5×24.5 mm^(3)and achieving an azimuth accuracy of 0.199°within 2 min,which is half the volume of the smallest existing similar devices while offering twice the *** improvements indicate that the proposed gyrocompass is suitable for applications in indoor industrial robotics,autonomous driving,and other related fields requiring precise directional guidance.
With the growing concern for campus safety in the context of societal advancement, the design of a security inspection robot is crucial for enhancing campus defense mechanisms and intelligent systems development. This...
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This paper investigates the distributed DC optimal power flow (OPF) problem with carbon emission trading. In recent years, the alternating direction method of multipliers (ADMM) has been used to solve the optimal powe...
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Magnesium-lithium(Mg-Li)alloys are characteristic of great potentials for transformative weight reduction across diverse applications,from aeronautics and spacecraft to automobiles,electronics,and ***,commercial servi...
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Magnesium-lithium(Mg-Li)alloys are characteristic of great potentials for transformative weight reduction across diverse applications,from aeronautics and spacecraft to automobiles,electronics,and ***,commercial services on Mg-Li alloys remain chal-lenges given their poor corrosion *** article critically reviews state-of-the-art progress of corrosion-resistant coatings for Mg-Li alloys,aiming to unlocking the full potential of such promising *** preparation techniques employed are summarized,the under-lying protective mechanisms are elucidated,and coating performances are critically *** review further highlights key challenges for future exploration and development,and provides insightful perspectives towards emerging frontiers in this dynamic domain.
Biofilters are typical biofilm reactors, and they usually have poor biofilm formation resulting in limited reactor performance. Exogenous acylated homoserine lactones (AHLs) can enhance biofilm formation in many biore...
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Biofilters are typical biofilm reactors, and they usually have poor biofilm formation resulting in limited reactor performance. Exogenous acylated homoserine lactones (AHLs) can enhance biofilm formation in many bioreactors based on quorum sensing regulation. However, their effect on biofilm in biofilters utilized for volatile organic compound (VOC) removal is unknown and needs to be investigated. In this study, the effects of the exogenous AHLs on biofilters for gaseous toluene removal were investigated. Analysis of biofilms in biofilters showed that the addition of exogenous AHLs considerably enhanced biofilm growth;the average biofilm concentration increased by 18%. Furthermore, the average biofilm coverage proportions in biofilters with and without exogenous AHLs were 17 % and 13 %, respectively, demonstrating the positive effect of exogenous AHLs on biofilm coverage. In particular, exogenous AHLs promoted the production of extracellular polymeric substances and the microbial adhesive strength of the biofilm. In addition, the exogenous AHLs showed no significant effect on the gaseous toluene removal efficiency of the biofilter. These results show that exogenous AHLs can enhance biofilm formation and can guide the application of exogenous AHLs in VOC biofilters.
Converter-driven direct current motors are widely used in various high-performance industrial systems. Practically, the servo system is influenced by multi-source disturbances (e.g. load torques, cogging torques, para...
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With the development of renewable energy, the development of energy internet is gaining great attention. Power routers are the key equipment of energy internet, which can improve the utilization of renewable energy an...
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To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is *** algorithm can recognize known jamming classes,detect new(unknown)jamming classes,an...
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To improve the recognition ability of communication jamming signals,Siamese Neural Network-based Open World Recognition(SNNOWR)is *** algorithm can recognize known jamming classes,detect new(unknown)jamming classes,and unsupervised cluseter new *** network of SNN-OWR is trained supervised with paired input data consisting of two samples from a known *** the one hand,the network is required to have the ability to distinguish whether two samples are from the same *** the other hand,the latent distribution of known class is forced to approach their own unique Gaussian distribution,which is prepared for the subsequent open set *** the test,the unknown class detection process based on Gaussian probability density function threshold is designed,and an unsupervised clustering algorithm of the unknown jamming is realized by using the prior knowledge of known *** simulation results show that when the jamming-to-noise ratio is more than 0d B,the accuracy of SNN-OWR algorithm for known jamming classes recognition,unknown jamming detection and unsupervised clustering of unknown jamming is about 95%.This indicates that the SNN-OWR algorithm can make the effect of the recognition of unknown jamming be almost the same as that of known jamming.
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