An efficient and convenient method for the determination of orthophosphate in water is the premise and foundation for the exploration of phosphorus removal from domestic sewage. Aiming at the problems of narrow detect...An efficient and convenient method for the determination of orthophosphate in water is the premise and foundation for the exploration of phosphorus removal from domestic sewage. Aiming at the problems of narrow detection range and complicated operation steps in the actual experiment process of molybdenum-antimony anti-spectrophotometry, the optimization was carried out. In the research process, by controlling the factors such as the single variable to optimize the pH value of the solution, the proportion of the indicator in the total solution, the color development time before the test and so on, a rapid method for detecting the positive phosphorus in water is obtained. The experimental results show that the standard curve with good linearity can be obtained by adding 0.15 mL of sample solution, 10 mL of mixed solution and 0.1 mL of ascorbic acid. A linear regression equation between phosphorus concentration and absorbance was established, with y=0.00623x+0.0679, the correlation coefficient R2 was 0.99986, and a good linear relationship existed in the concentration range of 0.0429 ~100 mg L-1. It provides a reference method for the determination of phosphorus in water.展开更多
Large-scale service composition has become an important research topic in Service-Oriented Computing（SOC）. Quality of Service（Qo S） has been mostly applied to represent nonfunctional properties of web services and...Large-scale service composition has become an important research topic in Service-Oriented Computing（SOC）. Quality of Service（Qo S） has been mostly applied to represent nonfunctional properties of web services and to differentiate those with the same functionality. Many studies for measuring service composition in terms of Qo S have been completed. Among current popular optimization methods for service composition, the exhaustion method has some disadvantages such as requiring a large number of calculations and poor scalability. Similarly,the traditional evolutionary computation method has defects such as exhibiting slow convergence speed and falling easily into the local optimum. In order to solve these problems, an improved optimization algorithm, WS FOA（Web Service composition based on Fruit Fly Optimization Algorithm） for service composition, was proposed, on the basis of the modeling of service composition and the FOA. Simulated experiments demonstrated that the algorithm is effective, feasible, stable, and possesses good global searching ability.展开更多
文摘An efficient and convenient method for the determination of orthophosphate in water is the premise and foundation for the exploration of phosphorus removal from domestic sewage. Aiming at the problems of narrow detection range and complicated operation steps in the actual experiment process of molybdenum-antimony anti-spectrophotometry, the optimization was carried out. In the research process, by controlling the factors such as the single variable to optimize the pH value of the solution, the proportion of the indicator in the total solution, the color development time before the test and so on, a rapid method for detecting the positive phosphorus in water is obtained. The experimental results show that the standard curve with good linearity can be obtained by adding 0.15 mL of sample solution, 10 mL of mixed solution and 0.1 mL of ascorbic acid. A linear regression equation between phosphorus concentration and absorbance was established, with y=0.00623x+0.0679, the correlation coefficient R2 was 0.99986, and a good linear relationship existed in the concentration range of 0.0429 ~100 mg L-1. It provides a reference method for the determination of phosphorus in water.
基金supported by the National Natural Science Foundation of China (Nos. 61402006 and 61202227)the Natural Science Foundation of Anhui Province of China (No. 1408085MF132)+2 种基金the Science and Technology Planning Project of Anhui Province of China (No. 1301032162)the College Students Scientific Research Training Program (No. KYXL2014060)the 211 Project of Anhui University (No. 02303301)
文摘Large-scale service composition has become an important research topic in Service-Oriented Computing（SOC）. Quality of Service（Qo S） has been mostly applied to represent nonfunctional properties of web services and to differentiate those with the same functionality. Many studies for measuring service composition in terms of Qo S have been completed. Among current popular optimization methods for service composition, the exhaustion method has some disadvantages such as requiring a large number of calculations and poor scalability. Similarly,the traditional evolutionary computation method has defects such as exhibiting slow convergence speed and falling easily into the local optimum. In order to solve these problems, an improved optimization algorithm, WS FOA（Web Service composition based on Fruit Fly Optimization Algorithm） for service composition, was proposed, on the basis of the modeling of service composition and the FOA. Simulated experiments demonstrated that the algorithm is effective, feasible, stable, and possesses good global searching ability.
