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Analysis of concrete with using human hair as fiber-reinforced

Human hair is a waste material that is found in the bountiful sum in the day by day life. It is a typical constituent in city squander streams and causes ecological issues as it is a non-degradable waste. Fiber strengthened cement gives great flexure strength less brake improvement. Since concrete is frail in strain thus a few estimates should be embraced to defeat this insufficiency. Human hair is by and large solid in strain; henceforth it very well may be utilized as a fiber fortification material. Human hair Fiber is a choice non-degradable issue available in riches and at unassuming cost. Hair additionally diminishes ecological issues. Likewise, expansion of human hair strands upgrades the coupling properties, miniature breaking control, Imparts ductility, strength and furthermore builds expanding opposition. The exploratory discoveries in our investigations would support future examination toward the path for long haul execution to expanding this expense of powerful kind of strands for use in primary applications. The examination was led on solid 3D shapes, chambers, and light emissions size with expansion of different rates of human hair fiber i.e., 0%,0.5% 1%,1.25%,1.5%, and 2% by weight of concrete, fine and coarse aggregate, and results were contrasted and those of plain concrete cement of mid-range grade. For every level of human hair included solid, we make a different cubes sample that was tried for their individual mechanical properties at relieving times of 7days, 14days, and 28days. The ideal amount of human hair was gotten as 2% by the weight of concrete. That investigation encourages the fresher to comprehend the human hair fiber fortified execution in concrete cement.

Published by: Akshay Patel, Abhay srivastava

Author: Akshay Patel

Paper ID: V7I1-1188

Paper Status: published

Published: January 23, 2021

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Research Paper

A lightweight encryption authentication scheme using rectangle and chaotic logistic map algorithm for smart grid

Smart Grid is the advanced power grid system that combines renewable energy resources like wind, solar, biogas with the existing power system. Besides that, it provides two-way communication using a large number of electronic devices between the customer and providers which is also known as Advanced Metering Infrastructure (AMI). The devices are resource constraint devices and sensitive information is communicating through them. Therefore, in this paper, these constraints are taken under consideration and designed a lightweight encryption authentication scheme for AMI. The lightweight RECTANGLE and chaotic Logistic map algorithms are taken under consideration. These algorithms encrypt the information along with generating authentication tags. These tags are used on the receiver side to verify the authenticity of the data. The algorithm is simulated in MATLAB and various performance parameters calculated for it. After that, it is compared with the existing algorithms.

Published by: Arun Kumar, Puneet Jain

Author: Arun Kumar

Paper ID: V7I1-1178

Paper Status: published

Published: January 23, 2021

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Research Paper

Hybrid the artificial intelligence and swarm-based optimization algorithm for load forecasting in the smart grid

Electricity load forecasting algorithms are used in the smart grid to predict the electricity demand in the future. Besides that, it helps in reducing the electricity generation cost. In the literature, three types of load forecasting are done such as short-term, medium-term, and long-term. In this paper, the short term forecasting is done. The short-term forecasting algorithm predicts the electricity demand from a few hours to several weeks ahead. Due to the nonlinear, nonstationary, and non-seasonal nature of the electric load time series, accurate forecasting is challenging. In this paper, Artificial Intelligence (AI) and the swarm optimization algorithm is hybrid in order to improve the prediction of load forecasting. We have considered Artificial Neural Network (ANN) and Binary Particle Swarm Optimization (BPSO) algorithms in our work. The BPSO algorithm used to improve the learning rate in the ANN network. The experimental results were simulated in MATLAB and various performance metrics such as RMSE, MAPE, minimum and maximum error determined. The results show that the proposed algorithms provide better results as compared to the existing algorithms.

Published by: Kuljeet Singh Sandhu, Puneet Jain

Author: Kuljeet Singh Sandhu

Paper ID: V7I1-1179

Paper Status: published

Published: January 23, 2021

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Research Paper

Strength analysis of styrene-butadiene latex modified cement concrete

Polymer Modified Concrete (P.M.C.) has been discovered to be more potent than conventional cement because of its excellent strength and raised perseverance, so to enhance the performance, certain polymers are blended in with concrete. The impact of Styrene Butadiene Rubber (S.B.R.) over the compressive strengths, tensile strengths, and carbonation of cement has been examined in this investigation, and the ideal polymer content for concrete has additionally been resolved. This examination was attempted to decide the impacts of polymer expansion on compressive and tensile strengths utilizing concrete at nearby ambient temperature with a consistent water-cement proportion blend design. The mixes were prepared with a 0 %, 5 %, 10 %, 15 % and 20 % cement-latex ratio of Styrene-Butadiene Rubber. The fresh concrete slump test was performed while the compressive and tensile strengths were analyzed at various ages. S.B.R. latex has been appeared to have an unfavorable effect at an early age, even though applying S.B.R. latex to concrete at 28 days brings about improved compressive and tensile strength. However, the dosage of S.B.R. latex for mixtures rich in cement needs to be optimized in order to preserve the desired concrete workability.

Published by: Prafull Kumar Swarnkar, Abhay Srivastava

Author: Prafull Kumar Swarnkar

Paper ID: V7I1-1189

Paper Status: published

Published: January 23, 2021

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Research Paper

Design and fabrication of semi-automatic dishwasher machine

Though a lot of human activities are automated in the present competitive world. There is a lag in the automated dishwasher. Some machines are already designed with the help of high-velocity water only; hence there is a chance of uncleanliness and not removing tough strains in dishes. In order to overcome the above problems a special machine called – Semiautomatic Dishwasher Machine” with shower and water jet introduced in this work. The project is to design and fabricate a semiautomatic dishwasher that is efficient and overcome human work. In the market existing dishwasher, the spray arm is not sufficient to spray water in each part of the dish. So, keeping this in mind, we designed the circular rack and spray arm in the center of the machine which will spray the water equally and effectively in each and every area of the dish. The machine has less cycle time, less energy consumption, less water required for cleaning as compared to a manual machine.

Published by: Akash Gautam Gaurkhede, Dr. Mahendra P. Nawathe

Author: Akash Gautam Gaurkhede

Paper ID: V7I1-1187

Paper Status: published

Published: January 22, 2021

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Research Paper

Hybrid the bat and particle swarm optimization for demand-side management in the smart grid

The main goal of the demand side management program is shaping the load demand from peak load period to off-load period to reduce the generation cost. In the literature, various types of load shaping objectives available such as load shifting, valley filling, and peak clipping. In this paper, two optimization algorithms hybrid for load shaping. We have considered the BAT and Particle Swarm Optimization (PSO) algorithms in our work. These algorithms turn on/off the devices in an optimal way to reduce the cost and load consumption. The algorithm is simulated in MATLAB for two case studies in which 3 and 5 devices are taken under consideration. We have measured the total load consumption, cost, and execution time for the proposed algorithm and compared it with the existing algorithms. The results show that the proposed algorithm provides less load consumption and cost as compared to Normal ON-OFF and PSO algorithm.

Published by: Navdeep Singh Dhaliwal, Puneet Jain

Author: Navdeep Singh Dhaliwal

Paper ID: V7I1-1181

Paper Status: published

Published: January 22, 2021

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