Search results

Data of PL shows a much lower photo-reduced electron-hole pair recombination rate of g-C3N4/CQDs/SAPO-5.
Morad, Optimization of the adsorption conditions for the decolorization and COD reduction of methylene blue aqueous solution using low-cost adsorbent, Water Air Soil Poll., 214 (2011) 185-195
Wang, Ultrathin nanosheets of molecular sieve SAPO-5: A new photocatalyst for efficient photocatalytic reduction of CO2 with H2O to methane, Appl.

Water quality assessment and nitrogen pollution sources analysis of the West Lake, Hangzhou, China Jin Zanfang, Qin Xue, Chen Lingxiao, Li Feili* College of Biological and Environmental Engineering, Zhejiang University of Technology, Hangzhou 310032 China First author: jinzanfang@zjut.edu.cn; *Corresponding author: lifeili@zjut.edu.cn Keywords: Water quality assessment, nitrate, nitrogen isotope, the West Lake Abstract: Single factor water quality identification index (SFWQII) and Comprehensive water quality identification index (CWQII) were applied to the data of 6 parameters for water quality of West Lake at 10 different sites and 4 main inflows in the West Lake basin, generated during March 2012 to February 2013.
The obtained data set is subjected to SFWQII and CWQII methods to classify the levels of the water bodies and detect the sources of nitrogen pollutants in West Lake by the method of stable isotopes.
But in July, nutrients in lake water declined with the absorption of aquatic plants and the reduction of the rainfall.

The reduction of CO2 emission became a global issue[1,2].
Data 52(3) (2007), 817-832 [21] S.

Results show a similar maximum stress for both groups, but a drastic reduction of the plastic area in the parts with defects.
It has a low impact resistance and flexibility, a recommended printing temperature around 210±10 ºC, and with a tensile strength at break of 50 MPa according to the manufacturer's data sheet [14].
Figure 6 also represents these parameters, but with the addition of error lines due to the dispersion of the data.
Comparison of average Young's modulus, strain and maximum stress data of specimens from group A (non-overlapping defects) and B (overlapping defects) according to their layer thickness in mm.
- Overlapping defects cause a reduction in the plastic zone, specifically between 50.9 % in the case of a layer height of 0.20 mm and 85.4 % in the case of a layer height of 0.12 mm

Secondly, a preprocessing operation based on an improved version of denoising by soft thresholding of wavelet coefficients and an optimized threshold is applied to improve the image quality (noise reduction, contrast enhancement).
controls the smoothness of the zero level set, increases the propagation speed, and controls the image data-driven force inside and outside the contour, respectively.
The goal of the FCM algorithm is to find an optimal fuzzy partition for the objective function that is minimized [17, 23-24]: (22) where, is the membership degree of in cluster ,is the of the data measured in dimension , is the center of the cluster, and || * || is a norm expressing the similarity between any measured data and the center.
We note that these values are small for the results obtained by the Biorthogonal 2.2 wavelet (bior2.2) compared to those obtained by Daubechies wavelets (db2, db3), Symlet3 wavelet (sym3), and Coiflets 2 wavelet (coif 2) that means that the denoising by the wavelet mother bior2.2 is better than the others in terms of noise reduction.

The developed simulation model was validated against experimental data.
A good agreement between the experimental data and the Langmuir–Freundlich fitting curve was observed, as depicted in Fig. 1.
The breakthrough results from the developed simulation model were validated against experimental data.
Simulation and experimental data on breakthrough curves.
Simulation and experimental data on breakthrough curves.

The scope of the present work is to investigate the structural modal analysis of full-scale 48m fiberglass composite wind turbine blades for 5MW horizontal axis wind turbine and through this to assess the potential for materials savings and consequent reductions of the rotor weight.
The entire wind turbine can benefit from such weight reductions through decreased dynamics loads and thus leave room for further optimization.
Then, proceeded to search the published data, the original coordinates of each of these airfoils (raw sections), and both the extrados to the intrados.
Both the materials and the lamination strategy were selected through the UpWind data.

Fig.1 WEMS system block circuit diagram In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.
Power sensor used in this system transmits 5byte type data according to network protocol to monitor program.
It is transmittable in once time in simple system but to get the detailed information, data has to be divided into smaller size and processed in network communication to avoid bottle neck.
Connected Zigbee sink in USB port and transmit data to monitoring server using in/output. 3.
In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.

FSK has been widely used in low-speed data transmission [1].
Data is always written into the AD9910 on the SDIO pin.
However, this pin can be used as a bidirectional data line.
Data is always written into the AD9910 on the SDIO pin.
However, this pin can be used as a bidirectional data line.

Three functional modules: energy data collection, real-time data of monitoring energy, and analysis and release of the energy data System Architecture As shown in Fig.1, the energy system architecture is as follows: A centralized energy monitoring management center is set up in the factory (composed of energy server, database server and energy management software), and energy collection substations are set up in the electric power and thermal entrances.
The energy monitoring center collects and process the energy data through the energy substation; dynamic display of energy process parameters and equipment; display of alarm and trend; management and storage of historical data; remote control; the generation and print of energy statistical statement; Web publishing of the energy using information; realization of the connection and data exchange with other systems (MES and ERP); Fig.1 System Architecture of the Energy Management The network layer is responsible for the energy data transmission and the main uses the optical fiber ring network.
Have ETHERNET communication interface to transmit data upward, the ETHERNET/IP communication protocols and control center monitor the exchange data of the server in a real-time manner.
Have real time clock, which can transfer the data with time stamp marking.
In addition, the controller is equipped with 512M DDR2 SDRAM memory and 64M NOR FLASH memory, used to memorize the energy data.