-Concrete has been widely used as a construction material in Buildings and other Industrial Structures. Sufficient research work has been carried out to understand the Mechanical properties like Compressive Strength, Flexural Strength, Tensile strength, Shear strength and Modulus of elasticity. There are many situations in which the concrete undergoes variation in temperatures which will ultima...

Abstract The designs of lever-type percussive mechanisms with the largest piston-rod developed by S. Abdraimov for soil compacting are considered. results kinematics research three different diagrams including base drawn presented. Basic parameters these determined and recommended to create high-frequency compacting.

Producing parts with high density and improved mechanical properties is one of the most important aims of powder metallurgy process. There are many factors for attaining modified properties in sintered parts but among them controlling type and quantity of alloying elements and manufacturing parameters such as compacting pressure, sintering temperature are the most effective. In this research, t...

The development of environmentally accepted methods of used tire disposal is one of the greatest challenges that waste management experts face today. Use of waste rubber particles as aggregate in self-compacting concrete is a suitable solution for the environmental hazards of waste tires being produced on a large scale. The aim of this work is to investigate the influence of the size of waste r...

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On most embedded systems, memory space and power resources are limited. As a consequence, significant effort is spent in creating resource-efficient programs for embedded systems. Compilers for embedded systems usually try to generate the most compact code possible, and libraries for embedded systems are usually quite a lot smaller than those for general purpose computer systems. One area of im...

We introduce dropout compaction, a novel method for training feed-forward neural networks which realizes the performance gains of training a large model with dropout regularization, yet extracts a compact neural network for run-time efficiency. In the proposed method, we introduce a sparsity-inducing prior on the per unit dropout retention probability so that the optimizer can effectively prune...

We propose a real real-time memory management system called Compact-fit that offers both time and space predictability. Compact-fit is a compacting memory management system for allocating, deallocating, and accessing memory in real time. The system provides predictable memory fragmentation and response times that are constant or linear in the size of the request, independently of the global mem...