Sulaiman Khan¹, Shah Nazir¹, Habib Ullah Khan^2,*, Anwar Hussain¹

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2831-2844, 2021, DOI:10.32604/cmc.2021.015054

Abstract During the last two decades significant work has been reported in the field of cursive language’s recognition especially, in the Arabic, the Urdu and the Persian languages. The unavailability of such work in the Pashto language is because of: the absence of a standard database and of significant research work that ultimately acts as a big barrier for the research community. The slight change in the Pashto characters’ shape is an additional challenge for researchers. This paper presents an efficient OCR system for the handwritten Pashto characters based on multi-class enabled support vector machine using manifold feature extraction techniques. These… More >

Koushik Mandlem, Bhaskaran Gopalakrishnan^*, Ashish Nimbarte, Roseline Mostafa, Rupa Das

Energy Engineering, Vol.117, No.4, pp. 165-183, 2020, DOI:10.32604/EE.2020.011406

Abstract The research details the design and development of a spreadsheet based software system that has been built using the principles of Monte Carlo simulation. The simulation has been applied to a residential building with a certain number of rooms, each with specific characteristics pertaining to volume, occupancy, and thermostat set point. The consideration of variables related to the building envelope and weather, and the HVAC system have provided a realistic view that enables the accurate estimation of annual energy usage and costs. The main findings of the research are reflected in the sensitivity analysis that estimates energy use and cost… More >