Improvement of firefighting techniques by using sound waves
Fire is a particularly feared hazard. Therefore, a fire extinguisher is very important equipment. Unfortunately, existing fire extinguisher has some drawbacks such as using a chemical compound which is dangerous and it leaves a residue. Therefore, the need for a new fire extinguisher method is needed to overcome this problem. After various researches, it was found that sound waves can be used as an alternative method to extinguish flames. Acoustic pressure and air velocity produced from a speaker is the fundamental concept used to explain how sound waves put off flames. In this paper, we proposed a new method using the sound wave to extinguisher fire. Our method was using a speaker and a converging tube to focus the sound wave to overcome the fire energy and thus put the fire down. The aim is to develop a portable fire extinguisher to study and analyzes the effect of different frequency of a sound wave on flames. Experiments are conducted to find a suitable frequency range to extinguish the flame and to analyze the acoustic-flame interaction. Three different sources of flames were used with three different states of fuel (solid, liquid and gas). Using this method, a different set of experiments were conducted to find the range of frequencies within which fire can be extinguished and found that fire can be extinguished between 48 Hz to 60 Hz. Also, we found the optimum frequency as 53Hz. From the result of the experiment, the sound waves manage to extinguish all flames of different fuel types. We also found the applications of this extinguisher at Travancore Titanium Products (TTP) Ltd., Kerala, India. However, in both experiments the flame boundary used was relatively small as compared real fire accidents due to safety consideration. Nevertheless, this sound wave based fire suppression technology could be used to combat early stages of fire accidents.
Published by: Thejas R. P., Saidaly S., Vaishnav A. B., Muhammad Noorulla B., Anuraj A. R.
Author: Thejas R. P.
Paper ID: V5I3-1830
Paper Status: published
Published: June 15, 2019
The state finances in Assam- An overview
India’s state finances have suffered from many difficulties and there is an adverse trend from the 1980s. The state government has been facing various budgetary hardship which affecting their developmental expenditure. Among the hardships, inadequate revenue sources, low central transfers are prominent. The Indian constitution sets three fold classifications for expenditure responsibility between the state and center. Constitution accordingly also sets forth the respective taxation powers of center and state governments. It is generally perceived that the state taxation powers are inadequate in relation to their expenditure responsibilities and that imbalances have been worsening over time. In addition to center state tax collection and sharing, the constitution has some other provision of resource transfers to the states through various mechanisms determined by the finance commissions. The finance commission plays a vital role in center state tax sharing and resource transfers. The planning commission and both five year and one-year plans which are not mandated in the constitution, have become a very important part of center-state financial relation. Transfer to support state plans have been determined by the ‘Gadgil formula’ and through other CSS’s. Various centrally sponsored schemes have become an increasingly important source of funding for state government budgets. But since they are time-bound and subsequent recurrent expenditure responsibilities devolve wholly on the states, the schemes are argued to worsen the long term fiscal situation of states. Central government employees pay structure also increase the pressure of various state governments from their employees. However, this factor will become less important in the future because almost all the states are coming into the line along with central government.
Published by: Dr. Brajendra Saikia
Author: Dr. Brajendra Saikia
Paper ID: V5I3-1891
Paper Status: published
Published: June 14, 2019
A study on self-help groups in Ramanagar district of Karnataka, India
A group of 4 to 20 members can form a self-help group. They develop a habit of savings. The amount so collected is used for disbursement of the loan. Those who do not have formal banking facilities can avail these loans for self-employment and livelihood. The self-help SHG and microfinance is for those who do not have access to formal credit facilities. Self-help groups become the basis for action and change. It also helps to build mutual trust between the promoting organization and the poor through constant contact and genuine efforts. Thus Self-help groups disburse microcredit to the rural and urban poor for the purpose of making them self-reliant and encouraging them to enter into small business activities. The main purpose of this Article is to evaluate the performance of the 5005 Self-help groups and the attitude of members of the Self-help groups towards economic impact, social impact and psychological impact. Self-help groups are necessary to overcome exploitation, create confidence for the economic self-reliance of rural and urban people. These groups enable to come together for a common purpose and gain strength from each other to deal with exploitation, which they are facing in their daily life.
Published by: Krishna C. P., Dr. Ramesha H. H.
Author: Krishna C. P.
Paper ID: V5I3-1840
Paper Status: published
Published: June 14, 2019
Fuzzy clustering of data mining: A survey paper
Clustering is the main and essentially used method for the automatic information taking out from huge amounts of data. Its task is recognize groups, its called clusters, of indistinguishable objects in a data set. Clustering methods is used in broad area, including database shopping, web inspect, information acceptance, bio technology, and broad others. whenever, if clustering methods is used on real data , a problem that often produce up is that absent values shown in the data sets. For established clustering methods were developed to inspect complete data, there is a need for data clustering method pickup incomplete data. Proceed towards recommend in the literature for modify the clustering algorithms to incomplete data effort better on data set with similer scattered clusters. In this thesis we are description a new proceed towards for suitable for a new use the fuzzy c-means clustering algorithm to incomplete data that takesget hold the scatters of clusters into statement. In this experiment on made by human being and real data sets with various scattered clusters .we show that our proceed out accomplish the another clustering techniq for defective data. ,We explain various cluster reliability functions and modify them to defective data according to the “present-case” proceed it. We inspect the original and the modify cluster reliability functions using the separate results of various artificial and real data produce by various fuzzy clustering algorithms for imperfect data. Therefore both the clustering algorithms and the cluster reliability functions are modify to inperfect data, we should target are finding the factor that is searching for determining the optimal number of clusters on defected data: the modify of the clustering algorithms, the modify of the cluster reliable functions, or the miss of information in the data self. In this research , we present that our capacity are capable to right check the clusters nearly situated to every other and cluster within broad density substance .
Published by: Shivani Singh, Dr. A. K. Singh
Author: Shivani Singh
Paper ID: V5I3-1896
Paper Status: published
Published: June 14, 2019
Air pollution data analysis using ARIMA model
This work addresses the prediction of the possible amount of air pollution in the atmosphere. Initially, we convert the raw data of pollutants to a standard that is AQI (Air Quality Index) then we carry out Exploratory data analysis such as seasonal pollution analysis, correlation matrix to find out the relation between various factors contributing to air pollution, box plots to find out a summary of a particular factor, etc. Further, we build models for prediction and forecasting future values. Forecasting consists of taking models to fit on historical information/data and using it to predict future observations. We bui1d two models subjected for this purpose namely, Multiple linear regression model and ARIMA (Auto-Regressive Integrated Moving Averages) model. We use the results obtained in exploratory analysis to find the dependent variables for AQI and build a Multiple linear regression model to predict future values. ARIMA model is used for forecasting our pollution time series to predict future values based on the parameters found using the auto-correlation function.
Published by: Amogh Mudholkar, Akash S., Ajay C., Gowramma G. S.
Author: Amogh Mudholkar
Paper ID: V5I3-1880
Paper Status: published
Published: June 14, 2019
Association of herbal plant in Rheumatoid Arthritis studies using in silico approach
Arthritis is inflammation or degeneration of joints. There are more than 100 different types of arthritis most common types of inflammatory arthritis include Juvenile rheumatoid arthritis (in children’s), Rheumatoid Arthritis (RA) (in adults), Psoriatic arthritis, gout, osteoarthritis, gonococcal Arthritis, etc. Rheumatoid Arthritis (RA) is an autoimmune disease. It is also a systemic disease which means it affects the whole body. People with Rheumatoid Arthritis (RA) have a higher risk of some other conditions such as heart disease, obesity, depression, anxiety, high blood pressure, diabetes, etc. No one knows the definite cause of this disease, but there is researcher’s evidence that genetics, environmental and stochastic factors are involved. There are various drugs therapies and treatments are available to suppress Rheumatoid Arthritis (RA) and there is a need for an alternative approach to avoid unnecessary side effects and high cost. Therefore, phytochemicals are used which include anti-inflammatory properties. Thus, the present study is aimed for finding phytochemical which is Stigmasterol showing higher binding affinity towards the target receptors those are 4JJ7, 6E28, 5GJH, 4FKL, 4EK4, 3CZF, 5NI9, 4RI5, 5BXU and 5N86 using molecular docking approach to find out potential drug molecule against protein causes inflammation. Tools used for molecular docking were GROMACS 5.1.1 for protein optimization, AutoDock 4.2.6 software for docking & Discovery Studio for visualization. Stigmasterol was ranked top among various docking conformations showing highest binding affinity with the target. Therefore it could be an alternative treatment method for rheumatic disorders. Plants like Glycine max (soybean), Physostigma venenosum (calabar bean), Brassica napus (rapeseed) comprise of this phytochemical. Further studies can confirm the usage of this phytochemical and plants for suppressing inflammation via inflammation
Published by: Aparna Hiren Patil Kose, Priyanka Patel, Samiksha Wani
Author: Aparna Hiren Patil Kose
Paper ID: V5I3-1875
Paper Status: published
Published: June 14, 2019
