Akhilesh Kumar

TL;DR: In this article, a response surface methodology (RSM) based on central composite rotatable design (CCRD) was used to optimize the three important reaction variables (methanol quantity, acid concentration, and reaction time) for reduction of free fatty acid (FFA) content of the oil to around 1% as compared to methanol quantity (M′) and reaction times (T′), and for carrying out transesterification of the pretreated oil.

TL;DR: A new methodology, constraint-based genetic algorithm (CBGA) is proposed to handle a complex variety of variables and constraints in a typical FMS-loading problem, and helps avoid getting trapped at local minima.

TL;DR: A novel approach for health state estimation to facilitate autonomous diagnostics is presented and a model based sequential clustering on time series sensor signals for estimating health states of a cutting tool is presented.

TL;DR: A logistic regression model showed that long driving duration, working days per week, rest patterns, insufficient sleeping hours and history of violations were found significantly associated with drowsy driving among the long-haul truck drivers.

TL;DR: This paper extends the AIS approach by proposing a new methodology, termed the ‘psychoclonal algorithm’, to handle the assembly-planning problem, which inherits its traits from Maslow's need hierarchy theory and the theory of clonal selection.