No abstract

Drain cleaning is often considered as a simple task, but it might not be so always. Many industries function smoothly by constantly dumping the waste, toxic chemicals, biodegradable products frequently in the drains, which results in clogging of drains thus preventing the water flow from the pipes. Around 800 men die because of drain cleaning every year in India. Maintaining, cleaning and resolving the issues of drainage systems have been a severe issue in the surrounding environment where, labors are used without any protective measures. Increase in the laborers deaths has been a major concern in cleaning the drainage blockages. Moreover, identifying the blockage within the drainage system is a time consuming and TDS task. Also, the machines available are very expensive. Thus, a system has to be introduced where humans are not insisted for cleaning the drainage blockages and its maintenance. In view of above, present project is aimed at development of a slender and powerful system to inspect the pipe and disintegrate it to clear the blockage in the pipe.

Digital multipliers are among the maximum essential arithmetic purposeful devices. The average performance of these systems relies upon at the throughput of the multiplier. In the meantime, the negative bias temperature instability impact occurs while a pMOS transistor is underneath negative bias (Vgs = −Vdd), increasing the threshold voltage of the pMOS transistor, and reducing multiplier pace. A similar phenomenon, positive bias temperature instability, happens when an nMOS transistor is underneath positive bias. Each effect degrade transistor pace and in the long term, the device may also fail due to timing violations. Therefore, it is essential to design dependable high-overall performance multipliers. In this paper, suggest an aging-aware multiplier model with a novel adaptive hold logic (AHL) circuit. The multiplier is able to provide higher throughput through the variable latency and may modify the AHL circuit to mitigate overall performance degradation this is because of the aging effect. Furthermore, the proposed structure can be applied to a Pre-Encoded NR4SD Multiplier.