基于QoS的Web组合服务绑定技术的研究

如何选择最佳服务是Web服务组合研究领域的重要问题之一.目前工业界和学术界在绑定目标服务时非常关注组合服务的功能匹配,而忽略了非功能属性对组合效果的影响.采用遗传算法优化Web服务QoS(Quality of Service),提出在组合服务实时运行过程中基于QoS进行动态绑定和再绑定的方法,并给出了具体的实施方案.实验显示它可以大大提高Web服务动态组合的运行效率.     

基于深度学习的隧道病害图像检测

随着我国城市地铁的快速发展,隧道的养护变得越来越重要,传统的人工检测方法不仅效率低、成本高,而且耗时,已经不能满足当今的需求;通过对越江隧道中的电缆通道的病害特征进行研究,提出一种基于深度学习的隧道多病害检测的方法,并提出了一种针对隧道病害检测的残差融合模块网络(Resfmnet),利用深度学习网络提取图像病害特征并进行病害分类,提高了病害的检测能力,所使用的数据集是通过特种机器人在越江隧道中的电缆通道拍摄的视频获得;实验结果表明所提出的网络显示出更高的准确性和泛化性,对多病害的检测的精度mAP达到0.891 4,使得越江隧道检查和监控变得高效、低成本,并最终实现自动化。     

Water purification using a BiVO4/graphene oxide multifunctional hydrogel based on interfacial adsorption-enrichment and photocatalytic antibacterial activity

Photocatalytic degradation by visible light-driven generation of reactive oxygen species shows great promise for purification of environmental water. However, such degradation is limited by the low separation efficiency of photogenerated carriers and the poor adsorption capacity of the photocatalyst itself. To solve these problems, we successfully constructed and prepared a composite hydrogel (BV-GH) combining a three-dimensional network structure composed of graphene oxide and BiVO₄ to achieve the synergistic effects of adsorption enrichment and photocatalytic degradation. The results show that the amount of methylene blue and methyl orange adsorbed by BV-GH is 258.78 mg g^?1 and 217.16 mg g^?1, respectively, which is much higher than that obtained for pure BiVO₄. Due to the synergistic effect of adsorption enrichment and photocatalytic degradation, the degradation rate of the dye by BV-GH reaches 94.18% in 60 min, which is 6.98 times higher than that obtained for pure BiVO₄. Electron spin-resonance (ESR) experiments confirm that the main factor affecting the dye degradation by BV-GH is the ability to produce more ·OH and ·O₂^?, which is an important reason for the excellent antibacterial performance of BV-GH against E. coli. This work can provide further inspiration for photocatalytic technology in water purification.     

Atomic Horizons Interpretation on Enhancing Electrochemical Performance of Ni-Rich NCM Cathode via W Doping: Dual Improvements in Electronic and Ionic Conductivities from DFT Calculations and Experimental Confirmation

The rapid capacity degradation and poor rate capability hinder the application of Rich-Ni layered LiNi_xCo_yMn_zO₂ (NCM) as cathode materials for high-energy lithium-ion batteries. In this study, density functional theory (DFT) calculations, combined with conventional electrochemical measurements, reveal from the atomic view that the dual improvements in electronic and ionic conductivities are the main facts for the property enhancement. The bandgap of the cathode material is reduced to 1.1623 eV due to the increased number of electrons near the Fermi level after W intercalation. Such improved electronic conductivity subsequently leads to a suppressed polarization and reduced resistance, enabling an improved cycle life of up to 93.97% after 100 cycles at 0.5 C. Furthermore, the doping with W⁶⁺ also introduced a strong W O bond into the layered structure so that the thickness of the Li slab is expanded to 2.6476 Å, which reduces the energy barrier from 0.355 to 0.308 eV for the migration of Li⁺ within the Li slab, as confirmed by the DFT calculation. Consequently, the rate performance is greatly improved due to the reduced diffusion energy, with a specific capacity of 159.11 mAg⁻¹ even at 5 C rate, indicating high potential for future applications.