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The main building material that can’t be ignored even it’s weak in tension and lead to various environmental problems during it’s production is concrete. Properties of concrete can be enhanced using fibre in concrete. Using fibre from waste of plastic in concrete to some percentage increases strength as well as durability of concrete and solve disposal problems of plastic waste in environment. From electronic waste Polyvinyl chloride cables (PVC) are used as fibre and from polypropylene (PP) packing bag of cement are used as fibre in concrete. Both are used in 0%, 0.25%, 0.50%, 0.75% and 1% by weight of cement in concrete. Fresh and harden properties for both concrete with polypropylene fibre and with electronic waste fibre is determined and hybrid of optimum values calculated is used in a single mix and compressive strength is calculated. Results show that 0.75% and 0.50% is optimum value of concrete with electronic waste fibre and concrete with polypropylene fibre with 49% and 17.5% increase in concrete strength compared to normal concrete respectively and can be used in a single mixture. Concrete with hybrid of polypropylene fibre and electronic waste fibre shows enhancement of 56% in compressive strength. The hybrid of PPFRC and EFRC polypropylene fibre keep cracks small and e-waste fibre shows enhancement in mechanical properties.

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The author is attempting to build up a model for dynamic or moving camcorder vigilance utilizing Density Based Clustering and area sensors. The authors attempt to exploit the rich usefulness uncovered by the AI worldview in which the stochastic condition to learn is portrayed as a two dimensional diagram where the situation of an object can be given by its directions and coordinates. The author utilizes DBSCAN algorithm alongside sensor empowered test ground zone that keeps the X and Y co-ordinates of the moving objects. The approach of the author here is to catch ceaseless video of the densest cluster of objects moving together. One pragmatic use of such framework is a wild scene where gatherings of creatures are moving together to some goal. There will be a to somewhat disorderly aimless movement however we mean to catch just those creatures that are more prominent in number as a gathering and the camera should move imagining them. This can be accomplished by the DBSCAN algorithm. KeywordsDBSCAN, Unsupervised learning, Sound Navigation and Ranging (SONAR) and laser detection and ranging (LADAR).