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Background: Hybrid Electric Vehicle (HEV) uses two sources of energy namely primary and auxiliary source. If only the battery bank is used as a power source of vehicle, then the performance of the vehicle is not satisfactory due to continuous charging and discharging mode, also the direction and amount of the battery current are changed continuously causing stress in the battery bank. Objectives: Objective of the proposed work to control the power flow between battery and supercapacitor (SC) so as the dc bus voltage remains constant. The error is speed is to be minimised for desired operating conditions. Methods: The objective is achieved by using the unidirectional buck-boost converter with battery bank and bidirectional buck-boost converter with SC Auxiliary source provides the energy during acceleration and store the energy at the time of braking. The controller with tuned PID parameters ensures the responses of quickly with minimal overshoot. This paper presents control technique for a Battery and Supercapacitor operated HEV and the tuning of PID controller using Teaching Learning Based Optimization (TLBO), particle swarm optimization (PSO), and Gray Wolf Optimization (GWO). The results are compared under various operating condition on the performance parameters integral absolute error (IAE), integral squared error (ISE), integral of the time-weighted absolute of the error (ITAE) and integral of the time-squired of the error (ITSE). Conclusions: The result suggests the PID parameters tuned with GWO technique give minimum error coefficients, The error is further reduced when SC is introduced with the battery as input source. [ABSTRACT FROM AUTHOR]

Study analyses scientometric assessment of LIS research performance of OPEC member countries. The research publication data indexed in Scopus for the OPEC member countries were extracted and used for the analysis. The data are analyzed to identify quantitative research performance of OPEC member countries in terms of total documents, citable documents, and non-citable documents. The citation impact is measured by different parameters, like total citations, citations per document, Relative Citation Impact, self-citations, and self-citations per document. Finally, the quality of the document is assessed by means of h-index. Nigeria has been found to be most productive country in LIS research and Iran is receiving highest citations and also in h-index performance amongst OPEC member countries. Iraq, Libya, and Ecuador are far away in LIS research productivity and needs strong steps to improve LIS research productivity for future endeavor. [ABSTRACT FROM AUTHOR]

In real world, applications designing of a robust face recognition system have always been a big challenge. This paper presents an approach to face recognition using embedding of dual tree complex wavelet transform, Self-organizing map and ensemble of weak classifier. The DT-CWT is applied on the images to obtain dynamic and multi scale informational characterization of the face images. Thus, a multidimensional feature vector is formed by combining DT-CWT coefficients. Self Organizing Map (SOM) is further used in embedding the feature vector which also results in reduction of feature vector. Finally, ensembles of k-Nearest Neighbor (k-NN) weak classifiers are used for classification of recognition system. The proposed approach is tested on image of ORL database. The experiment shows an impressive recognition result that culminated during the testing. [ABSTRACT FROM AUTHOR]