Odour emission ability (OEA) and its application in assessing odour removal efficiency

Odourous emissions from sewer networks and wastewater treatment plants (WWTPs) can significantly impact a local population. Sampling techniques such as wind tunnels and flux hood chambers are traditionally used to collect area source samples for subsequent quantification of odour emission rates using dilution olfactometry, however these methods are unsuitable for assessing liquid samples from point sources due to the large liquid volumes required. To overcome this limitation, a gas phase sample preparation method was developed for assessing the total Odour Emission Ability (OEA) from a liquid sample. The method was validated using two volatile organic sulphur compounds (VOSCs), dimethyl-trisulphide (DMTS) and bismethylthiomethane (BMTM) that are frequently detected from sewers and WWTPs and are relatively stable compared with common VOSCs like mercaptan or methyl mercaptan. The recovery rates of DMTS and BMTM were quantified by injecting a known volume of a standard liquid sample into Tedlar bags using a static injection and a dynamic injection methodology. It was confirmed that both dynamic and static injection methods at ambient condition achieved high recovery rates with no need to consider increasing evaporation by elevating the temperature. This method can also be used to assess odour removal effectiveness of liquids by comparing the OEA before and after the treatment tests. Two application examples were presented.     

Machine learning-based real-time visible fatigue crack growth detection

Many large-scale and complex structural components are applied in the aeronautics and automobile industries.However,the repeated alternating or cyclic loads in ...     

Direct vapor phase growth process and robust photoluminescence properties of large area MoS2 layers

There has been growing research interest in the use of molybdenum disulfide in the fields of optoelectronics and energy harvesting devices, by virtue of its indirect-to-direct band gap tunability. However, obtaining large area thin films of MoS2 for future device applications still remains a challenge. In the present study, the amounts of the precursors （S and MOO3） were varied systematically in order to optimize the growth of highly crystalline and large area MoS2 layers by the chemical vapor deposition method. Careful control of the amounts of precursors was found to the key factor in the synthesis of large area highly crystalline flakes. The thickness of the layers was confirmed by Raman spectroscopy and atomic force microscopy. The optical properties and chemical composition were studied by photoluminescence （PL） and X-ray photoelectron spectroscopy. The emergence of strong direct excitonic emissions at 1.82 eV （A-exciton, with a normalized PL intensity of -55 × 10^3） and 1.98 eV （B-exciton, with a normalized PL intensity of -5 × 10^3） of the sample at room temperature clearly indicates the high luminescence quantum efficiency. The mobility of the films was found to be 0.09 cm^2/（V.s） at room temperature. This study provides a method for the controlled synthesis of high-quality two-dimensional （2D） transition metal dichalcogenide materials, useful for applications in nanodevices, optoelectronics and solar energv conversion.     

虚拟局域网的设计与实现

NAT和防火墙设备的存在阻碍了很多应用和协议在Internet上的部署和实施.在局域网环境下,由于没有NAT和防火墙的限制,同一个局域网内的各种应用程序可以畅通无阻的通信.本文设计实现的虚拟局域网利用TUN/TAP虚拟设备和TUNNEL技术,可以突破NAT和大多数防火墙的限制,使受限的应用可以正常的通信.     

智能芯片SA866AE在变频电源中应用

介绍智能功率芯片SA866AE三相PWM波形发生器的功能、特点、工作原理及其在变频电源上的应用,提出高功率的变频电源设计方案,有效解决大功率IGBT的控制问题,并简化电路设计.     

Application of Dempster-Shafer evidence theory to unsupervisedclassification in multisource remote sensing

The aim of this paper is to show that Dempster-Shafer evidence theory may be successfully applied to unsupervised classification in multisource remote sensing. Dempster-Shafer formulation allows for consideration of unions of classes, and to represent both imprecision and uncertainty, through the definition of belief and plausibility functions. These two functions, derived from mass function, are generally chosen in a supervised way. In this paper, the authors describe an unsupervised method, based on the comparison of monosource classification results, to select the classes necessary for Dempster-Shafer evidence combination and to define their mass functions. Data fusion is then performed, discarding invalid clusters (e.g. corresponding to conflicting information) thank to an iterative process. Unsupervised multisource classification algorithm is applied to MAC-Europe'91 multisensor airborne campaign data collected over the Orgeval French site. Classification results using different combinations of sensors (TMS and AirSAR) or wavelengths (L- and C-bands) are compared. Performance of data fusion is evaluated in terms of identification of land cover types. The best results are obtained when all three data sets are used. Furthermore, some other combinations of data are tried, and their ability to discriminate between the different land cover types is quantified     

大型公路桥梁施工监理探讨

根据广深高速公路等施工实践经验,对公路桥梁水下混凝土灌注桩、主体钢筋混凝土、后张法预应力箱梁制作、桥梁架设的施工与监理过程中控制关键点进行探讨,以期加强施工与监理的工作质量。     

Robustness of interdependent multi-model addressing networks

Dear editor, Many complicated real-world systems can be considered as complex networks to analyze their macroscopic properties,e.g.,the Internet,power grids,and...     

Optimization for simulation of WL-CSP subjected to drop-test with plasticity behavior

A simulation of the board-level drop-test is performed to evaluate some WL-CSP (wafer-level chip-scale packages) performances. An elasto-plastic model is applied on both solder bump and copper pad materials. It intends to demonstrate that copper plasticity is mandatory due to the large plastic strain occuring in these materials. A statistical analysis discusses the required accuracy for the modeling analysis. This analysis is combined with a components’ lifetime prediction based on a representative plastic strain. Finally, it is possible to do a relatively fast calculation while meeting the determined accuracy.