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A Laboratory Study on Use of Waste Glass Powder as Partial Replacement of Cement in Concrete Production

The Role of Cement Industry in India is significant in the economic development of the country. The cement industry in India is one of the oldest sectors in India. The industry is driven by the immense growth in the housing sector, the infrastructure development, and construction of transportation systems. Indian Cement Industry is the second largest cement producer in the world after China with a total capacity of 151.2 Million Tonnes (MT). The government of India has been giving an immense boost to various infrastructure projects, housing facilities and road networks, the cement industry in India is currently growing at an enviable pace. In the coming years, more growth in the Indian cement industry is expected to come. Efforts are being done to develop some alternative material for cement production using the waste material. The waste glass powder is one such alternative. As glass is nonbiodegradable so it will also help in solving glass related environmental problems. This study was conducted to investigate the effect of using waste glass powder in cement. Laboratory work was conducted to determine the performance of control sample and cement with used waste glass powder. The performance of these types of cement was determined by the Consistency test, Soundness test, Setting time test and Compressive strength test. The Consistency test of cement is determined using Vicat apparatus. Meanwhile, compressive strength test is done to determine the strength of cement. For each type of cement sample, a total of six 70.6mm x 70.6mm x 70.6mm cubes were cast. The cubes were tested at the ages of 7 and 28 days to study the development of compressive strength. The results indicate that the cement with using waste glass powder was able to increase the compressive strength.

Published by: Sombir, Parveen Berwal

Author: Sombir

Paper ID: V3I1-1203

Paper Status: published

Published: January 13, 2017

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Anti M-Fuzzy Subring and its Lower Level M-Subrings

In this paper, we introduce the concept of an anti M-fuzzy subring of an M-ring and lower level subset of an anti M-fuzzy subring and discussed some of its properties.

Published by: Nanthini. S. P., Munirathinam .C.

Author: Nanthini. S. P.

Paper ID: V3I1-1201

Paper Status: published

Published: January 13, 2017

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Research Paper

Convex Optimization Based Adaptive PID Controller in CSTR Plant

PID control is an important ingredient of a distributed control system. The controllers are also embedded in many special purpose control systems. PID control is often combined with logic, sequential functions, selectors, and simple function blocks to build the complicated automation systems used for energy production, transportation, and manufacturing. Many sophisticated control strategies, such as model predictive control, are also organized hierarchically. PID control is used at the lowest level; the multivariable controller gives the set points to the controllers at the lower level. The PID controller can thus be said to be the “bread and butter’ of control engineering. It is an important component in every control engineer’s tool box. PID controllers have survived many changes in technology, from mechanics and pneumatics to microprocessors via electronic tubes, transistors, integrated circuits. The microprocessor has had a dramatic influence on the PID controller

Published by: Chanda Thakur, Navdeep Batish

Author: Chanda Thakur

Paper ID: V3I1-1199

Paper Status: published

Published: January 13, 2017

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Research Paper

Software Defect Prediction Using Support Vector Machine

Developing a defect free software system is very difficult and most of the time there are some unknown bugs or unforeseen deficiencies even in software projects where the principles of the software development methodologies were applied carefully. Due to some defective software modules, the maintenance phase of software projects could become really painful for the users and costly for the enterprises. In previous work, original data was taken with 21 features and 21 features are having high dimension features which increase the complexity of processing. Ignored the boundary decision for software default predictor because boundary condition is not detected by the previously used classifier. Features of compaction were not considered because of that information is overlapped and the prediction error is increased. They are not able to train the component based classifier which results in more prediction error.

Published by: Ramandeep Kaur, Harpreet Kaur

Author: Ramandeep Kaur

Paper ID: V3I1-1197

Paper Status: published

Published: January 13, 2017

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Measurment of Density and Specific Heat Capacity of Different Nanofluids

In the study, the paper shows measurement of density and specific heat capacity of different nanofluids. A temperature range of 30°C to 50 °C for a few molecule volume concentrations is displayed. The particular heat estimations of three nanofluids containing aluminum oxide, zinc oxide, and silicon dioxide nanoparticles. The work has been done at various temperature range 313K to 353K (30 to 80°C) with differing distinctive volume concentration (1%,2%3%,4%). which is the typical scope of operation of car coolants and building heating fluids. The measured qualities are contrasted and existing conditions for the particular heat of Nanofluids. In this manner, again broad connection was produced for the particular heat as elements of particle volumetric, temperature, and the particular heat of both the molecule and the base liquid from the present arrangement of estimations. The effect of nanoparticle connection was tried for both CUO also, Al2O3, ZNO in a eutectic blend of sodium and potassium nitrate. Results demonstrated an improvement in particular heat limit (CP) for both kinds of nanoparticles.

Published by: P. Madhu, P. G. Rajasekhar

Author: P. Madhu

Paper ID: V3I1-1196

Paper Status: published

Published: January 13, 2017

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Adaptive Packet Filtering Techniques for Linux Firewall

Packet filtering techniques play an important role in many of network devices such as firewalls, IPSec Gateways. Firewall plays an important role in safeguarding any system from any external attacks to the system. It can be used to safeguard hosts as well as networks. This research focuses on studying the performance impact and the sensitivity of the Linux firewall (IP tables) also improve by using this research. And these are improving to become fast. A firewall designed in Linux, the user can edit the source code and change it depending on the security requirements for the LAN. At any time one can configure the firewall to encrypt, to decrypt, accept, deny, or proxy all packets that are being sent between any two systems depending on the rules. On the basis of this, the user can be blocked or given access to a network using a good tree algorithm. There are two approaches for the filtering, first by using the early rejection of unwanted flows without impacting other flows significantly. Second, we present a new packet filtering optimization technique that uses adaptive statistical search trees to utilize important traffic characteristics and minimize the average packet matching time. The proposed techniques timely adapt to changes in the traffic conditions by performing simple calculations for optimizing the search data structure. The proposed techniques can significantly minimize the packet filtering time with reasonable memory space requirements.

Published by: Atul J. Jayant, Prajakta S. Tambade, Sanjay Kadam

Author: Atul J. Jayant

Paper ID: V3I1-1194

Paper Status: published

Published: January 12, 2017

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