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Research Paper

Experimental study of construction and demolition waste in flexible pavement

With the steep increase in the population, construction and demolition of buildings around the world have increased at the same pace which has led to the accumulation of C&D waste. Their disposal is one the major problems as the huge amount of land is required for landfill. In this research possible use of C&D wastes in semi-dense bitumen, macadam has been studied, so these C&D waste can be disposed of properly furthermore the natural aggregate which is depleting at very fast rate can be saved for the future generation. In this study test are conducted to check the feasibility of C&D waste in the asphalt pavement .various tests such a marshal stability test, tensile strength test is conducted to determine the optimum percentage of construction and demolition waste which can be used in semi-dense bitumen macadam. It also helps in saving the material for future. That can be used for bigger construction. The demolition waste with the different percentages as a coarse aggregate has been used in this research and the results have been compared with the conventional mixes. Over 90% of demolition wastes can be filled with the land fillings and due to its toxic nature it will affect the soil and make it useless. Marshal stability and indirect tensile strength tests have been performed which resulted in the increase in the durability and strength of payments.

Published by: Yaser Alawi, Rajesh Chouhan

Author: Yaser Alawi

Paper ID: V4I2-1983

Paper Status: published

Published: April 18, 2018

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Research Paper

IoT based smart energy meter

Energy meter reading is a tedious and an expensive affair. The meter reader has to go and take the reading manually to issue the bill, which will later be entered into the software to automate the billing and payment system. This paper proposes a new network communication system for energy meter reading by internet communication technology and software system along with the existing meters. An IoT modem will be integrated with electronic energy meter to read the usage of electricity and uploaded on server or website. Energy meter delivers the reading details and it is uploaded to the website instantly. This communication system is further useful for electricity regional/sub-regional office, who can monitor the power consumption, and they cut the power supply for any specific house, who had not paid the electric bill using the EB Office Login. Moreover, this power cut control system is done by using the same website which is used for monitoring. In this project each customer is differentiated using address or ID, this ID is used for identification by the consumer and as well as my office to monitor the reading and payment details. The user can also monitor their usage from anywhere using the user login. An additional feature is provided to the user for controlling the power supply during in terms of emergency case.

Published by: Saravanan R N, Padmanaban U, Santhosh Kumar M, Shankara Narayanan K

Author: Saravanan R N

Paper ID: V4I2-1978

Paper Status: published

Published: April 18, 2018

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Research Paper

Comparative study on CEC and CIC in composite buildings

Construction of steel building is booming in many parts of the world. The composite building consists of steel deck slab, steel beam, and composite column. In case of high rise composite buildings, Composite Encased Columns (CEC) or Composite Infilled Columns (CIC) are used. To determine the optimal column from CEC and CIC based on the seismic response and quantity of the material when used in a G+14 composite building is the objective of the study. Models of the composite building with infilled and encased columns are analyzed and designed using ETABs. Seismic analysis is done by Response spectrum method based on Indian code. Wind analysis is also carried out as per Indian Codes. The software results are analyzed for seismic behavior and the quantity of the material used for CEC and CIC are compared.

Published by: Shivani, Dr. Gopinath Nayak

Author: Shivani

Paper ID: V4I2-1974

Paper Status: published

Published: April 18, 2018

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Research Paper

Sustainable soil stabilization using plastic waste

Soil stabilization is the process of improving the physical and engineering properties of the soil such as shear strength and bearing capacity, soil stabilization is also involving in decreasing the permeability and settlements as the soil is a loose unconsolidated material which is obtained by weathering of rocks and decomposition of organic matter. Which leads to the formation of different types of soils among different types of soils, the black cotton soil is the highly expansive soil which will be showing more swelling and shrinkage and settlement problems. In order to overcome this situation, the soil properties need to be improved by a process known as soil stabilization. This can be done by adding some external agents to it like coal, flyash, bagasse and plastic. Some experiments such as-as liquid limit, plastic limit, California bearing ratio (CBR) is conducted for the stabilized soil which will be showing the improved results in the engineering properties

Published by: I. Varshik Manikanta, Soma Shiva, Ch. Sathish, K. Srija, Shaik Roheed Ali, P. Sanjay Chandra

Author: I. Varshik Manikanta

Paper ID: V4I2-1915

Paper Status: published

Published: April 18, 2018

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Research Paper

Sparse channel estimation of MIMO OFDM systems using LS and MMSE method

In wireless communication systems, Orthogonal Frequency Division Multiplexing (OFDM) is implemented widely due to its high rate transmission capability. The bandwidth efficiency and robust against multipath propagation makes OFDM as a suitable applicant for wireless communication. Channel State Information (CSI) is the vital parameter in deciding the capacity of the system. In this paper, the sparse MIMO channel is estimated using Least Square (LS) and Minimum Mean Square Error (MMSE) algorithms. The performance of these algorithms depends on the number of pilot symbols. The complexity of LS algorithm is very low but the mean square error is high. MMSE algorithm uses the second order channel statistics to reduce the mean square error. Simulation results show that MMSE algorithm outperforms LS algorithms in terms of Mean square error and Bit Error Rate(BER).

Published by: Nandhini. V

Author: Nandhini. V

Paper ID: V4I2-1890

Paper Status: published

Published: April 18, 2018

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Survey Report

Impact of advertisement on consumer’s purchases

In order to attract the consumer's some organizations introduce new products whereas some organizations advertise in order to attract the consumers. the latter is considered to be one of the most influential ways of attracting consumers since advertising not only creates awareness about the product among the consumers but also entertains them. even though past studies have agreed that advertisement, especially tv advertisement, is the most effective media source since it attracts consumer’s attention. advertisements affect the perceptions of the consumers and it can influence the consumer's buying decisions. The purpose of this study is to determine the impact of tv advertisement on the consumer buying behavior by conducting the survey. for this purpose, a quantitative method was used, in which the impact of advertisement through brand awareness was seen on the consumer buying behavior. the main focus of this study was how brand awareness is created through tv advertising and its impact on the buying behavior of consumers, this impact is seen on the buying behaviors of consumers in electronic goods.

Published by: Yeshwanth Pabba, Balamurugan J, Gunnam Krishna Praveen, Vaigandla Sai Akhil

Author: Yeshwanth Pabba

Paper ID: V4I2-1668

Paper Status: published

Published: April 18, 2018

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