Assessment of metal contamination by using pollution indices in groundwater sources that used for drinking purpose in Olpad taluka, surat, India
The present study was conducted to judge pollution situation and evaluates their sources and distribution of Heavy Metals in the ground water sources of Olpad taluka, Surat, Gujarat, India. Ground water sources such as hand pump bore well, tube well and open well are used for drinking purpose in different villages of Olpad taluka. Heavy metal pollution index (HPI), Heavy Metal Evaluation Index (HEI) and Degree of Contamination (Cd) is representing a quality of water in terms of index numbers that represents the heavy metal load in the ground water sources. Monthly sampling was done from seven sampling sites (Feb’ 2015 to July’ 2015). Heavy metals concentration in water samples were measured by following standard method of APHA and analysed by Atomic Absorption Spectrophotometer. Heavy metals like, Cu, Ni, Zn, Fe, Mn, Cd, Pb and Cr were analysed from monthly collected samples. Heavy metal affects the health in a wide range if it is present above the permissible limit. Based on calculated results of HPI, HEI and Cd it was found that the water was contaminated with metals.
Published by: Patel Monali, Kapila Manoj
Author: Patel Monali
Paper ID: V6I5-1329
Paper Status: published
Published: October 15, 2020
Explaining Global warming through Quantum Mechanics
The paper goes over climate change and global warming followed by a quantum mechanical approach to explain global warming. By using the principles of the radiative theory and spectroscopic data from the HITRAN database for greenhouse gases along with data from the AIRS satellite, we were able to claim that the principles of radiative theory and quantum mechanics can indeed be used to explain climate change.
Published by: Aditya Iyer, Mitali Arun
Author: Aditya Iyer
Paper ID: V6I5-1359
Paper Status: published
Published: October 15, 2020
Fuzzy logic technique applied in tuning of PID controller to control speed of DC motor
This paper give solution of tuning technique of PID (Proportional integral derivative) controller by using fuzzy logic technique applied in speed control of DC motor. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are regulate according to fuzzy logic technique. The Fuzzy logic Proportional integral derivative controller (FLPIDC) is designed according to fuzzy rules. Twenty five self tuning rules are programmed for PID controller. Two inputs are applied to PID controller one for speed error actual speed and the second is rate of change in speed error. The Parameter of PID controllers are used to control the speed of the DC Motor. The MATLAB model for speed control of DC motor using fuzzy logic is easy and less calculation required. The results proof that the designed self-tuned PID controller perform optimum speed control of DC motor, compared to conventional PID controller.
Published by: Dr. Abhishek Kumar
Author: Dr. Abhishek Kumar
Paper ID: V6I5-1366
Paper Status: published
Published: October 15, 2020
Self-balancing of a Two wheeler using Gyroscopic effect
In this day and age automation has become more of a necessity than a luxury. Today despite of having a number of preventive safety measures to avoid road accident by two wheelers according to the surveys two wheeler lead in the number of road accidents. The need for a self-stabilizing system for two wheelers is on high demand among the customers. This paper determines a method to develop a self-balancing bike using gyroscopic effect. Gyroscopic effects finds its application in stabilizing systems for sectors like Military’s rocket guidance systems, aeronautics and aerospace industries, ships etc. We have incorporated this principle in our two wheeler model. In our current model we have used Inertial Measurement Unit(IMU), Encoder and servo motors, Momentum wheel to generate a counter torque to balance the roll in the two wheeler. The 3D model was designed using CAD modelling software and code was generated in the Arduino software. Designing and fabrication of the two wheeler was completed and was tested for different tilt angle subjected to varying rotational speed of momentum wheel to counter balance and stabilize itself.
Published by: Yadhukrishnan, Ishaan Rahul Saxena
Author: Yadhukrishnan
Paper ID: V6I5-1358
Paper Status: published
Published: October 15, 2020
Prominence of Sandalwood (white and red) handicraft in the interiors with respect to aromatherapy
India being the hub for divine wooden handicrafts due to the rare plant species grown here like Santalum album (Sandalwood) and Pterocarpus santalinus (Red sanders) which come under tropical trees are the most valuable and sacred trees associated with the culture, tradition and medicine; Sandalwood’s treasured aroma is extracted from tree’s heartwood and also it is one of the finest natural materials for carving. Since ancient times the traditional way to extract the sandalwood paste is with the help of sacred rubbing stone and sandalwood smoke is by burning the incense sticks in sacred metal or mud burners for medicine and traditional rituals. Taking the concept from the traditional process of extracting; some of interior elements shall be created to spread the aroma of Santalum album into the interiors from the passages of traditional Jharokhas(stone oriel window) and Mashrabiya(wooden oriel window) on the other side creating interior elements like 3d layered wall murals, side brackets, wall brackets, carved pelmets, etc. with Pterocarpus santalinus. As it is the most costly wood, 3d layered wall murals are designed with ombre effect instead of solid wall murals by using less material for a larger space which makes it cost effective and gives an insight for sustainability and these most exquisite sandalwood carvings are made by skilled craftsman cast in situ to prevent damage due to transport.
Published by: Vaishnavi Poralla, Srishti Srivastava
Author: Vaishnavi Poralla
Paper ID: V6I5-1357
Paper Status: published
Published: October 15, 2020
Prediction of a mammogram mass as benign or malignant
This paper is about comparing several different supervised machine learning techniques to the “mammographic masses” public data set from the UCI repository, and see which one yields the highest accuracy as measured with K-Fold cross validation (K=10 A lot of needless pain and surgery occurs from the subsequent false positives of mammogram performance. If we can create a better way of understanding them through supervised machine learning, it will make many lives easier .We have applied Decision tree, Random forest, KNN, Naive Bayes, SVM, Logistic Regression and also neural network using Keras. The data was cleaned as many rows were contain missing data, and as there were erroneous data identifiable as outliers as well. Some techniques such as SVM that we have employed requires the input data to be normalized first. Many techniques also had "hyperparameters" that had to be tuned. So here we have approached a better way to make it even better by tuning its hyperparameters.
Published by: Sanjay Kumar A., Sarojini Sharon R. K.
Author: Sanjay Kumar A.
Paper ID: V6I5-1342
Paper Status: published
Published: October 15, 2020
