Enhanced activity of ZnS(111) by N/Cu co-doping:Accelerated degradation of organic pollutants under visible light

High-efficiency photocatalysts are of great significance for the application of photocatalytic technology in water treatment.In this study,N/Cu co-doped ZnS nanosphere photocatalys(N/Cu-ZnS) is synthesized by a hydrothermal method for the first time.After doping,the tex ture of nanosphere becomes loose,the nanometer diameter is reduced,making the specific surface area of catalyst increased from 34.73 to 101.59 m^(2)/g.The characterization results show that more ZnS (111) crystal planes are exposed by N/Cu co-doping;the calculations of density functional theory show that N/Cu co-doping can increase the catalytic activity of the ZnS (111) crystal plane,enhance the adsorption capacity of (111) crystal plane to O_(2)and promote the generation of·O_(2)-.The energy levels of the introduced impurities can be hybridized with the energy levels of S and Zn at the top of valence band and the bottom o conduction band,which makes the band gap narrower,thus enhancing the absorption o visible light.Compared with pure ZnS,the degradation rates of 2,4-dichlorophenol (2,4-DCP and tetracycline (TC) by N/Cu-ZnS under visible light (>420 nm) are increased by 83.7 and51 times,respectively.In this research,a promising photocatalyst for photocatalytic degra dation of organic pollutants in wastewater is provided.

Mining Sensor Data in Cyber-Physical Systems

A Cyber-Physical System （CPS） integrates physical devices （i.e.,sensors） with cyber （i.e.,informational） components to form a context sensitive system that responds intelligently to dynamic changes in real-world situations.Such a system has wide applications in the scenarios of traffic control,battlefield surveillance,environmental monitoring,and so on.A core element of CPS is the collection and assessment of information from noisy,dynamic,and uncertain physical environments integrated with many types of cyber-space resources.The potential of this integration is unbounded.To achieve this potential the raw data acquired from the physical world must be transformed into useable knowledge in real-time.Therefore,CPS brings a new dimension to knowledge discovery because of the emerging synergism of the physical and the cyber.The various properties of the physical world must be addressed in information management and knowledge discovery.This paper discusses the problems of mining sensor data in CPS：With a large number of wireless sensors deployed in a designated area,the task is real time detection of intruders that enter the area based on noisy sensor data.The framework of IntruMine is introduced to discover intruders from untrustworthy sensor data.IntruMine first analyzes the trustworthiness of sensor data,then detects the intruders＇ locations,and verifies the detections based on a graph model of the relationships between sensors and intruders.