An ISGW Filtering Antenna with Spurious Modes and Surface Wave Suppression for Millimeter Wave Communications

In this paper,an integrated substrate gap waveguide(ISGW)filtering antenna is proposed at millimeter wave band,whose surface wave and spurious modes are simultaneously suppressed.A secondorder filtering response is obtained through a coupling feeding scheme using one uniform impedance resonator(UIR)and two stepped-impedance resonators(SIRs).To increase the stopband width of the antenna,the spurious modes are suppressed by selecting the appropriate sizes of the ISGW unit cell.Furthermore,the ISGW is implemented to improve the radiation performance of the antenna by alleviating the propagation of surface wave.And an equivalent circuit is investigated to reveal the working principle of ISGW.To demonstrate this methodology,an ISGW filtering antenna operating at a center frequency of 25 GHz is designed,fabricated,and measured.The results show that the antenna achieves a stopband width of 1.6f0(center frequency),an out-of-band suppression level of 21 dB,and a peak realized gain of 8.5 dBi.

Gaps,challenges and possible solution for prediction of wheel-rail rolling contact fatigue crack initiation

The prediction of wheel/rail rolling contact fatigue(RCF)crack initiation during railway operations is an important task.Since RCF crack evolution is influenced by many factors,its prediction process is complex.This paper reviews the existing approaches to predict RCF crack initiation.The crack initiation region is predicted by the shakedown map.By combining the shakedown map with various initiation criteria and the critical plane method,the crack initiation life is calculated.The classification,methodologies,theories and applications of these approaches are included in this paper.The advantages and limitations of these methods are analyzed to provide recommendation for RCF crack initiation prediction.This review highlights that wheel/rail dynamic characteristic,complex working conditions,surface defects and wear all affect the RCF crack initiation.The optimal selection of criteria is essential in the crack initiation prediction.Based on the research gap regarding the challenging process of crack initiation prediction detailed in this review,a proposed prediction process of RCF crack initiation is proposed to achieve a more accurate result.

“数字化转型”背景下高职课堂教学监测研究

为实现“数字化转型”背景下高职院校课堂教学效果高质量发展,通过理论研究与实践应用相结合的方式,研制了科学规范、职业院校可借鉴的建设模式,以“数字化”课堂监测为研究对象,引进数字化教学监测系统,建立学校主导下课堂教学监测的数据中心,确定了符合高职院校特色的课堂教学教师数字画像,有效改善教师的教学服务水平。探究职业教育数字化转型中的课堂监测实践路径,通过强化大数据科学认知、提高数字化课堂教学的监测能力,全面推进职业教育数字化转型,助力实现职业教育高质量发展。

航天搭载对武夷名丛相关生理及生长特性的影响

以神舟八号飞船搭载的6种武夷名丛种子SP1代株系为材料,探讨航天搭载对武夷名丛SP1代株系叶片形态、光合色素含量、叶绿素荧光参数、可溶性糖和蛋白质含量以及茶叶品质成分含量的影响,分析航天搭载后武夷名丛生长和生理特性的变化,从中筛选优良突变株。结果表明,航天搭载后6个武夷名丛SP1代植株的叶长、叶宽、节间长度和叶面积均发生变化,其中,雀舌、肉桂和奇丹的叶面积显著增加;航天搭载显著提高雀舌、奇丹、肉桂和金毛猴的叶绿素及类胡萝卜素含量,瞬时叶绿素荧光(Ft)和光量子效率(Qy)也有所增加,这有利于提高光合效率;武夷名丛航天搭载后表现出可溶性糖含量增加而蛋白质含量减少,氨基酸和茶多酚含量下降,儿茶素和咖啡碱含量上升。综合各项指标,航天搭载后6个武夷名丛中雀舌可以作为有益变异株系加以选育。

Effects of solid friction modifier on friction and rolling contact fatigue damage of wheel-rail surfaces

In railway network,friction is an important factor to consider in terms of the service behaviors of wheel-rail system.The objective of this study was to investigate the effect of a solid friction modifier(FM)in a railway environment.This was achieved by studying the friction,wear,and rolling contact fatigue(RCF)damage on the wheel-rail materials at different slip ratios.The results showed that when a solid FM was applied,the friction coefficient decreased.After the solid FM was separated from the wheel-rail interface,the friction coefficient gradually increased to its original level.With the application of the solid FM,the wear rates of the wheel-rail decreased.In addition,the thickness and hardness of the plastic deformation layers of the wheel-rail materials were reduced.The worn surfaces of the wheel-rail were dominated by pits and RCF cracks.Without the FM,RCF cracks ranged from 84 to 120μm,and subsurface cracks were generated.However,with the FM,RCF cracks ranged from 17 to 97μm and no subsurface cracks were generated.These findings indicate possible methods of improving the performance of railway rolling stock by managing friction,and reducing wear and permanent RCF damage affecting both the wheels and rails.

CTAB Assisted Synthesis of CuS Microcrystals:Synthesis,Mechanism,and Electrical Properties

CuS microcrystals were successfully prepared through a mild solvothermal reaction in ethylene glycol （EG） with the assistance of cationic surfactant cetyltrimethylammonium bromide （CTAB）. An interesting morphology evolution from flower-like microspheres to hollow microspheres, and finally to smooth nanoflakes was observed when increasing the amount of CTAB. The products were characterized by X-ray diffraction （XRD）, scanning electron microscopy （SEM）, transmission electron microscopy （TEM）, and UV-vis spectroscopy. It was found that the amount of CTAB played an important role in determining the morphology of the CuS microcrystals. Electrical measurement reveals that the as-prepared CuS microspheres were of high conductivity, which might favor their device applications. It is expected that CuS microcrystals with controlled morphologies and structures will have important applications in solar cells. This simple but effective method could also be extended to the controlled growth of other inorganic microcrystals.

Adaptive sparse and dense hybrid representation with nonconvex optimization

Sparse representation has been widely used in signal processing,pattern recognition and computer vision etc.Excellent achievements have been made in both theoretical researches and practical applications.However,there are two limitations on the application of classification.One is that sufficient training samples are required for each class,and the other is that samples should be uncorrupted.In order to alleviate above problems,a sparse and dense hybrid representation(SDR)framework has been proposed,where the training dictionary is decomposed into a class-specific dictionary and a non-class-specific dictionary.SDR putsℓ1 constraint on the coefficients of class-specific dictionary.Nevertheless,it over-emphasizes the sparsity and overlooks the correlation information in class-specific dictionary,which may lead to poor classification results.To overcome this disadvantage,an adaptive sparse and dense hybrid representation with non-convex optimization(ASDR-NO)is proposed in this paper.The trace norm is adopted in class-specific dictionary,which is different from general approaches.By doing so,the dictionary structure becomes adaptive and the representation ability of the dictionary will be improved.Meanwhile,a non-convex surrogate is used to approximate the rank function in dictionary decomposition in order to avoid a suboptimal solution of the original rank minimization,which can be solved by iteratively reweighted nuclear norm(IRNN)algorithm.Extensive experiments conducted on benchmark data sets have verified the effectiveness and advancement of the proposed algorithm compared with the state-of-the-art sparse representation methods.