Budge Budge Institute of Technology

About: Budge Budge Institute of Technology is a education organization based out in Baj Baj, India. It is known for research contribution in the topics: Steganography & Plasmon. The organization has 65 authors who have published 121 publications receiving 744 citations. The organization is also known as: BBIT.

An Optimization Model on Construction and Demolition Waste Quantification from Building

Abstract: Construction and Demolition (C&D) waste, which constitutes more than 30% of the solid waste stream in India is not given proper attention and loses it's recycling potential. Absence of enforcement and negligence on behalf of the authorities has given rise to independent overlords who fight among themselves for the control of waste thereby making it even more difficult to categorize and quantify C&D waste. Re-utilization of Solid Waste is in developmental stage and thus ends up mostly in landfills without taking into consideration the malignant effects on the environment. Elements like Lead, Arsenic, Cadmium and Silica find their way into the soil and are then transported into the ground water (Stefania Butera, 2015). So the directive is to minimize the exploitation on the environment and find a means for recycling the waste into environment friendly building materials. Estimation of CD waste is carried out by making use of Building specific and region specific waste generation rates. An all encompassing model which can successfully predict the total amount of waste generated from a particular project does not exist and this fact is quite evident given the diversity of construction techniques and composition of building materials. Even If such a database were to be compiled, end users would find it hard to comprehend and apply this data into meaningful quantity. The most appealing way of making users more aware of the need to recycle is by offering a perspective where they can perform a cost benefit analysis of the revenue that can be generated from proper optimization and reutilization of CD waste. Contractors can make a prior estimate of the investment for a particular project and order precise quantities of the materials required. This would not only eliminate the additional cost incurred but also reduce waste on site from off cuts and poor handling of surplus materials. Therefore the objective is to propose a model which makes use of easily available data like transportation rates and resale value of recyclable materials which would provide an intuitive and simple optimization model while imbibing the basic principles of Reduce, Reuse and Recycle into action.

Cloud Computing: A Multi-workflow Scheduling Algorithm with Dynamic Reusability

Abstract: Cloud computing provides a dynamic environment of well-organized deployment of hardware and software that are common in nature and the requirement for propping up heterogeneous workflow applications to realize high performance and improved throughput where the most demanding task is multiple workflow applications surrounded by their fixed deadline. These workflow applications consist of interconnected jobs and data. Nevertheless, hardly any initiations are tailored on multi-workflow scheduling exertion. These scheduling problems have been considered methodically in cloud atmosphere. Accessibility of the computing resources on the data center (DC) provides the exact time of execution of each process, whereas the execution time of every process within a workflow is pre-calculated in the majority of the existing multi-workflow scheduling problem. System overhead so far is an additional concern at the same time as dynamically generating virtual machines (VMs) with salvage them dipping the power eating. The aim of this paper is to reduce the execution time of every job and finalize the execution of all workflow within its deadline by producing VMs dynamically in DC and recycle them as necessary. We recommend a dynamic multi-workflow scheduling algorithm formally named as competent dynamic multi-workflow scheduling (CDMWS) algorithm. Simulation process describes one of the best algorithms so far in terms of performance among subsistent algorithm and moves toward a new era of multi-workflow relevance.

Anisotropic stellar models admitting conformal motion

Abstract: We address the problem of finding static and spherically symmetric anisotropic compact stars in general relativity that admit conformal motions. The study is framed in the language of f(R) gravity theory in order to expose opportunity for further study in the more general theory. Exact solutions of compact stars are found under the assumption that spherically symmetric spacetimes admit conformal motion with anisotropic matter distribution in nature. In this work, two cases have been studied for the existence of such solutions: first, we consider the model given by $f(R)=R$ and then $f(R)=aR+b$ . Finally, specific characteristics and physical properties have been explored analytically along with graphical representations for conformally symmetric compact stars in f(R) gravity.