No abstract

Bord and pillar mining is the predominant method for extraction of coal from underground in India. Strata control is a major problem affecting safety and productivity of the mine. In conventional method of extraction worked by LHD/SDL has gallery width up to 4.8 m. However, in mechanized mining operation, gallery width goes up to 6.6 m. As per the Director General of Mine Safety (DGMS) guidelines, suggested support pattern is given for gallery width up to 4.8m. In this paper, the study focused to develop generalized equation of roof failure height during development working for wider gallery operation. The input parameters have taken into consideration are rock mass rating (RMR), uniaxial compressive strength (UCS), in-situ stress ratio, depth of working, ratio of gallery width to height. The immediate roof of the model has considered as elasto-plastic in nature. By, considering all these parameters rock load height has been estimated at gallery and junction of the mine during development operation. A generalized equation has been made for gallery as well as junction with the help of regression analysis based on numbers of model results, considering all the input parameters. The required support load density has been estimating with the help of generalized equation. For calibration of the model results, number of case studies has been solved and analyzed.

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The human voice is contained sound made by a person utilizing the vocal cord for talking, singing, snickering, crying and yelling. It is especially a bit of human sound creation in which the vocal string is the fundamental sound source, which assumes a vital job in the discussion. The uses of discourse or voice preparing innovation assume a pivotal job in human PC communication. The framework enhances gender orientation ID, age amass characterization, age and feeling acknowledgment execution. The examination work utilizes new and effective techniques for highlight extraction of discourse or voice and grouping of standard strategy on the different sound datasets. Mel Frequency Cepstral Coefficients highlight extraction and determination is performed to locate an increasingly reasonable list of capabilities for building speaker models. The proposed framework utilizes Gaussian Mixture Model is a super vector for framework include choice and highlight displaying. Bolster Vector Machine arrangement and highlight coordinating procedure is utilized to order the component for various age bunches like youngster, adolescent, youthful, grown-up and higher ranking than increment the resultant execution and precision. The database is made utilizing the sound records for each age gathering of speaker and for every feeling as an info, performs highlight extraction and distinguishes the gender orientation, arrange age gathering, and perceive age and feeling.