3D Printed Device and Method for Converting Air into the Water through Condensation
Exemplary embodiments of the present disclosure are directed towards a system for converting the air into the water through condensation comprising a condensation unit comprising, one of the fans and a condenser coil wherein, the water vapor is condensed for providing drinkable water; an auto cooling fan configured to cool down the condenser’s heated portion configured to maintain a predetermined heating point; a water collector configured to collect the condensed water vapor from the condensation unit through a connected funnel; a sensors module configured to sense at least one of temperature, cooling, and heating point details, water filtration details, humidity, dew point and voltage details; a display unit configured to display at least one of humidity, cooling temperature, heating temperature, flux, dew point, sensors details and its status of working; a power filter and converter module configured to reduce the noise and the distortion in the current, wherein the voltage may be converted according to the compatibility; and a relays module configured to switch at least on of a UV lamp, a cooling unit, and a fan.
Published by: Jawwad Khizar Patel
Author: Jawwad Khizar Patel
Paper ID: V3I1-1207
Paper Status: published
Published: January 16, 2017
Bioprospecting of Hibiscus Rosasinensis for Antimicrobial Activity against Soil Microbes
The present investigation was carried out about the evaluation of antimicrobial activity against corrosion causing soil microbes on buried elements in acidified mediated soil by Agar disc diffusion method using Aqueous and Ethanol extract of Hibiscus rosa Sinensis leaves. This plant was subjected to solvent extraction with water and ethanol on increasing the polarity to identify and isolate the antimicrobial active materials. Crude aqueous and ethanol extract of Hibiscus has significantly inhibited the important microbes which causing corrosion such as S.aureus, Streptococcus, B. subtitles, Lactobacillus, Proteus, Corynebacterium, Pseudomonas, A.niger, Mucor and Desulphovibro sp. Results of the present studies investigation suggest that Hibiscus are the important effective plant for further work on isolating and characterizing of antimicrobial active materials.
Published by: R. Prasanna
Author: R. Prasanna
Paper ID: V3I1-1204
Paper Status: published
Published: January 16, 2017
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
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
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
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
