University College of Engineering

About: University College of Engineering is a based out in . It is known for research contribution in the topics: Diesel fuel & Diesel engine. The organization has 6988 authors who have published 6695 publications receiving 81179 citations.

A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem

Abstract: In a general flow-shop situation, where all the jobs must pass through all the machines in the same order, certain heuristic algorithms propose that the jobs with higher total process time should be given higher priority than the jobs with less total process time. Based on this premise, a simple algorithm is presented in this paper, which produces very good sequences in comparison with existing heuristics. The results of the proposed algorithm have been compared with the results from 15 other algorithms in an independent study by Park [13], who shows that the proposed algorithm performs especially well on large flow-shop problems in both the static and dynamic sequencing environments.

Walking Patterns of Normal Men

Abstract: A simple and inexpensive photographic method has been developed whereby many kinematic components of the walking act in the sagittal, frontal, and transverse planes can be measured and related temporally. A factorial design was used to study the displacement patterns of sixty normal men who ranged i

Adsorption of organic molecules on silica surface.

Abstract: The adsorption behaviour of various organic adsorbates on silica surface is reviewed. Most of the structural information on silica is obtained from IR spectral data and from the characteristics of water present at the silica surface. Silica surface is generally embedded with hydroxy groups and ethereal linkages, and hence considered to have a negative charged surface prone to adsorption of electron deficient species. Adsorption isotherms of the adsorbates delineate the nature of binding of the adsorbate with silica. Aromatic compounds are found to involve the pi-cloud in hydrogen bonding with silanol OH group during adsorption. Cationic and nonionic surfactants adsorb on silica surface involving hydrogen bonding. Sometimes, a polar part of the surfactants also contributes to the adsorption process. Styryl pyridinium dyes are found to anchor on silica surface in flat-on position. On modification of the silica by treating with alkali, the adsorption behaviour of cationic surfactant or polyethylene glycol changes due to change in the characteristics of silica or modified silica surface. In case of PEG-modified silica, adsolubilization of the adsorbate is observed. By using a modified adsorption equation, hemimicellization is proposed for these dyes. Adsorptions of some natural macromolecules like proteins and nucleic acids are investigated to study the hydrophobic and hydrophilic binding sites of silica. Artificial macromolecules like synthetic polymers are found to be adsorbed on silica surface due to the interaction of the multifunctional groups of the polymers with silanols. Preferential adsorption of polar adsorbates is observed in case of adsorbate mixtures. When surfactant mixtures are considered to study competitive adsorption on silica surface, critical micelle concentration of individual surfactant also contributes to the adsorption isotherm. The structural study of adsorbed surface and the thermodynamics of adsorption are given some importance in this review.

Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations

Abstract: Data on the concentrations of seven environmental pollutants (CH"4, NMHC, CO, CO"2, NO, NO"2 and SO"2) and meteorological variables (wind speed and direction, air temperature, relative humidity and solar radiation) were employed to predict the concentration of ozone in the atmosphere using both multiple linear and principal component regression methods Separate analyses were carried out for day light and night time periods For both periods the pollutants were highly correlated, but were all negatively correlated with ozone Multiple regression analysis was used to fit the ozone data using the pollutant and meteorological variables as predictors A variable selection method based on high loadings of varimax rotated principal components was used to obtain subsets of the predictor variables to be included in the regression model of the logarithm of the ozone data It was found that while high temperature and high solar energy tended to increase the day time ozone concentrations, the pollutants NO and SO"2 being emitted to the atmosphere were being depleted Night time ozone concentrations were influenced predominantly by the nitrogen oxides (NO+NO"2), with the meteorological variables playing no significant role However, the model did not predict the night time ozone concentrations as accurately as it did for the day time This could be due to other factors that were not explicitly considered in this study

Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology

Abstract: A practical method of predicting state-of-charge (SOC) and state-of-health (SOH) of battery systems has been developed and tested for several systems. The method involves the use of fuzzy logic mathematics to analyze data obtained by impedance spectroscopy and/or coulomb counting techniques. Fuzzy logic provides a powerful means of modeling complex, non-linear systems without the need for explicit mathematical models. New detailed impedance date has been obtained on the discharge performance of primary lithium/sulfur dioxide cells. Earlier data, obtained by Rutgers co-workers on nickel/metal hydride and other systems, have been reviewed and re-interpreted using fuzzy logic methodology. Devices are being developed for several systems, which will predict the SOC and SOH of batteries without the need to know their previous discharge and/or cycling history.