Military Academy

About: Military Academy is a based out in . It is known for research contribution in the topics: Population & Context (language use). The organization has 2478 authors who have published 3003 publications receiving 33188 citations.

Facile hetero-assembly of superparamagnetic Fe3O4/BiVO4 stacked on biochar for solar photo-degradation of methyl paraben and pesticide removal from soil

Abstract: Herein we report synthesis of nano-hetero assembly of superparamagnetic Fe 3 O 4 and bismuth vanadate stacked on Pinus roxburghii derived biochar. Optical studies and band structure analysis indicate the hybridization between the two semiconductors facilitating photodegradation of pollutants in presence of natural sunlight. The nano-heterojunctions have been utilized for removal of emerging micro-pollutants as methylparaben (MeP). 97.4% of MeP degradation was achieved in presence of biochar/Fe 3 O 4 /BiVO 4 in 2 h. A degradation pathway has also been proposed on basis of mass spectrometry, chemical oxygen demand analysis and effects of various scavengers. Pinus derived biochar has also been utilized to see its long term effect on soil characteristics and fertility. The biochar has also been used to remove excessive pesticide from soil for lesser bioavailability.

A risk assessment methodology using intuitionistic fuzzy set in FMEA

Abstract: Most current risk assessment methods use the risk priority number (RPN) value to evaluate the risk of failure. However, conventional RPN methodology has been criticised as having five main shortcomings as follows: (1) the assumption that the RPN elements are equally weighted leads to over simplification; (2) the RPN scale itself has some non-intuitive statistical properties; (3) the RPN elements have many duplicate numbers; (4) the RPN is derived from only three factors mainly in terms of safety; and (5) the conventional RPN method has not considered indirect relations between components. To address the above issues, an efficient and comprehensive algorithm to evaluate the risk of failure is needed. This article proposes an innovative approach, which integrates the intuitionistic fuzzy set (IFS) and the decision-making trial and evaluation laboratory (DEMATEL) approach on risk assessment. The proposed approach resolves some of the shortcomings of the conventional RPN method. A case study, which assesses the risk of 0.15 µm DRAM etching process, is used to demonstrate the effectiveness of the proposed approach. Finally, the result of the proposed method is compared with the listing approaches of risk assessment methods.