scholarly journals Field application of a genetically engineered microorganism for polycyclic aromatic hydrocarbon bioremediation process monitoring and control

1998 ◽  
Author(s):  
G.S. Sayler ◽  
C.D. Cox ◽  
S. Ripp ◽  
D.E. Nivens ◽  
C. Werner ◽  
...  
Keyword(s):  
Polycyclic Aromatic Hydrocarbon ◽  
Aromatic Hydrocarbon ◽  
Process Monitoring ◽  
Field Application ◽  
Genetically Engineered ◽  
Monitoring And Control ◽  
Polycyclic Aromatic ◽  
Process Monitoring And Control ◽  
Genetically Engineered Microorganism ◽  
And Control

Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control

2018 ◽  
Author(s):  
Farhad Imani ◽  
Bing Yao ◽  
Ruimin Chen ◽  
Prahalada Rao ◽  
Hui Yang
Keyword(s):  
Additive Manufacturing ◽  
Process Monitoring ◽  
Manufacturing Process ◽  
Manufacturing Systems ◽  
Experimental Studies ◽  
Precision Machining ◽  
Monitoring And Control ◽  
Process Monitoring And Control ◽  
Ultra Precision ◽  
And Control

Nowadays manufacturing industry faces increasing demands to customize products according to personal needs. This trend leads to a proliferation of complex product designs. To cope with this complexity, manufacturing systems are equipped with advanced sensing capabilities. However, traditional statistical process control methods are not concerned with the stream of in-process imaging data. Also, very little has been done to investigate nonlinearity, irregularity, and inhomogeneity in image stream collected from manufacturing processes. This paper presents the multifractal spectrum and lacunarity measures to characterize irregular and inhomogeneous patterns of image profiles, as well as detect the hidden dynamics of the underlying manufacturing process. Experimental studies show that the proposed method not only effectively characterizes the surface finishes for quality control of ultra-precision machining but also provides an effective model to link process parameters with fractal characteristics of in-process images acquired from additive manufacturing. This, in turn, will allow a swift response to processes changes and consequently reduce the number of defective products. The proposed fractal method has strong potentials to be applied for process monitoring and control in a variety of domains such as ultra-precision machining, additive manufacturing, and biomanufacturing.

scholarly journals Evaluation of Polycyclic Aromatic Hydrocarbon Content of Selected Fin and Shell Fish from Named Rivers in Ogoniland, Rivers State, Nigeria

2021 ◽  
pp. 1-10
Author(s):  
Jumbo Adata Akie ◽  
M.O Wegwu ◽  
D. C. Belonwu ◽  
B. M. Onyegeme-Okerenta ◽  
C. T. Iriakuma
Keyword(s):  
Polycyclic Aromatic Hydrocarbon ◽  
Aromatic Hydrocarbon ◽  
Feeding Habits ◽  
Test Site ◽  
Control Site ◽  
Aquatic Species ◽  
Polycyclic Aromatic ◽  
And Control ◽  
Risk Of Cancer ◽  
Mean Concentration

Polycyclic aromatic hydrocarbon (PAH) content in selected fin and shell fishes from Bodo and Kaa in Ogoniland were studied. PAH was determined by Gas chromatography, using Texas Natural Resource Conversion Commission, Texas (TNRCC TX) method. There was a total of 16 PAHs detected in the samples from the two sites, test site (Bodo) and control site (Kaa). Similar PAH accumulations were observed in the four species, but the concentrations of the PAH accumulations were different. For samples from Kaa, Mullet showed the highest total mean concentration of PAHs followed by Sompat grunt, Tilapia and the least was Shrimps. However, for samples collected from Bodo, Tilapia showed the highest total mean concentration of PAHs, followed by Sompat grunt, Shrimps, and the least Mullet. These findings were not definitive as to the source of the PAH, seemingly suggesting various or multiple sources of PAHs contamination in the studied sites. These variations may be attributed to their feeding habits. The mean and standard deviations for PAHs from the test site ranged from 0.08±.000b to 23.7±.473b, 0.05±.001b to 7.74±.346b, 0.02±.001b to 9.48±.002b, 0.07±.000b to 11.0±.029b for Tilapia, Mullet, Shrimps and Sompat grunt respectively and 0.18±.006a to 6.56±.064a, 0.08±.000a to 11.8±.555a, 0.05±.002a to 3.11±.036a, 0.05±.002a to 5.12±.059a for samples of Tilapia, Mullet, Shrimp and Sompat grunt respectively from the control site. In conclusion, the calculated potency equivalence concentration (PEC) for all the tested aquatic species collected from Kaa and Bodo were all above the screening value (SV) suggesting that the consumption of these aquatic species from the test and control site at a rate of 68g/day in an adult of about 60kg will expose the individual to a potential risk of cancer.

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