Smart phone adoption is verified through modified technology acceptance modelWord格式文档下载.docx

1、Show preview| Related articlesRelated reference work articles Purchase$ 31.5054Thiosulfate leaching of gold from waste mobile phonesJournal of Hazardous Materials, Volume 178, Issues 1-3, 15 June 2010, Pages 1115-1119Vinh Hung Ha, Jae-chun Lee, Jinki Jeong, Huynh Trung Hai, Manis K. JhaClose preview

2、AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractThe present communication deals with the leaching of gold from the printed circuit boards （PCBs） of waste mobile phones using an effective and less hazardous system, i.e., a copperammoniathiosulfate solution, as an altern

3、ative to the conventional and toxic cyanide leaching of gold. The influence of thiosulfate, ammonia and copper sulfate concentrations on the leaching of gold from PCBs of waste mobile phones was investigated. Gold extraction was found to be enhanced with solutions containing 1520mM cupric, 0.10.14M

4、thiosulfate, and 0.20.3M ammonia. Similar trends were obtained for the leaching of gold from two different types of scraps and PCBs of waste mobile phones. From the scrap samples, 98% of the gold was leached out using a solution containing 20mM copper, 0.12M thiosulfate and 0.2M ammonia. Similarly,

5、the leaching of gold from the PCBs samples was also found to be good, but it was lower than that of scrap samples in similar experimental conditions. In this case, only 90% of the gold was leached, even with a contact time of 10h. The obtained data will be useful for the development of processes for

6、 the recycling of gold from waste mobile phones.Article Outline1. Introduction2. Experimental 2.1. Materials and reagents2.2. Leaching tests2.3. Analytical methods3. Results and discussion 3.1. Leaching of gold by thiosulfate3.2. Effect of thiosulfate concentration3.3. Effect of copper（II） concentra

7、tion3.4. Effect of ammonia concentration3.5. Effect of leaching time4. ConclusionsAcknowledgementsReferences$ 41.9555Modelling and simulation of Rayleigh fading, path loss, and shadowing fading for wireless mobile networksSimulation Modelling Practice and Theory, Volume 19, Issue 2, February 2011, P

8、ages 626-637Zhi Ren, Guangyu Wang, Qianbin Chen, Hongbin LiIn this paper, we first derive two explicit mathematical expressions of bit error rates （BERs） with Rayleigh fading for differential phase shift keying （DPSK） and quadrature amplitude modulation （QAM）, and establish corresponding simulation

9、models to realize the effect of Rayleigh fading. Next, we propose a mathematical expression to define the effect of shadowing fading and an approach to computing it. Then, we optimize the effect of path loss through adapting the value of the path loss exponent to different environments. Finally, usi

10、ng a packet-oriented simulation tool, OPtimized Network Engineering Tool （OPNET）, we realize the effects of Rayleigh fading and shadowing fading, optimize the effect of path loss, and investigate the integrated impact of these effects on the performance of wireless mobile networks including wireless

11、 local area networks （WLANs） and mobile ad hoc networks （MANETs）. Simulation results not only coincide with the experimental results in present literature, but also show that these effects exert a non-negligible impact on the performance of wireless mobile networks. Accordingly, our new models and a

12、pproaches make the present over-optimistic simulation results more accurate and reasonable.2. Theoretical analysis and mathematical derivation 2.1. Derivation of BER with Rayleigh fading 2.1.1. DPSK2.1.2. QAM642.2. Definition and computation of the effect of shadowing fading 2.2.1. Definition of the

13、 effect of shadowing fading2.2.2. Computation of the effect of shadowing fading3. Simulation modelling and optimization 3.1. Simulation modelling of Rayleigh fading3.2. Optimization of the effect of path loss4. Performance results and evaluation 4.1. Realization of Rayleigh fading in simulation4.2.

14、Realization of shadowing fading in simulation4.3. Optimization of the effect of path loss in simulation4.4. Performance evaluation of wireless mobile networks with Rayleigh fading, path loss, and shadowing fading 4.4.1. Integrated effect of Rayleigh fading, path loss, and shadowing fading4.4.2. Simulation and analysis of IEEE 802.11 WLANs4.4.3. Simulation and analysis of MANETs5.