Abstract: Electric power is a scarce commodity in Nigeria as in most developing countries like India. Intermittent power outages are witnessed in various cities and villages. Electricity is the form of energy which is most widely used in nature. Electric power obtained from the conversion of sources of energy, such as coal, natural gas, oil, nuclear power and other natural sources are called primary sources. The primary energy resources are the conventional types and are in limited quantity because they are not renewable, and on the other hand create a lot of pollution to the atmosphere. A revolutionary method of power generation through speed breaker power generators is proposed as an innovative method. On speed breakers, tremendous amount of energy is being wasted by vehicles, and several models were introduced to utilize this energy through speed breakers. This paper attempts to show different methods of renewable energy generation through speed breaker.

Abstract: The present paper proposes an approach for classify the facial images either child or adult based on local texture features extracted on facial images. The local texture features used in this paper are Morphological-prehistoric Patterns with grain components (MP-g). these patterns are extracted on a Local Directional Pattern (LDP) values. Edge response values in all eight directions from a 3×3 local window are used to calculate the LDP values. The local descriptor LDP is more constant in the incidence of noise and lighting changes, since edge response level is more stable than pixel intensity. The proposed method is rotationally& poses invariant when compared to pattern trends that represents a shape. The proposed method is tested on large set of images from different databases like FgNet, Morph, Google and scanned images. The present paper proves the efficiency of the proposed method.