Parameter tuning in firefly algorithm
Optimization means to find the best solution for any situation under given constraints. In today’s era, the problems are huge and complex. Nature always finds a way to deal with such problems efficiently in an optimized way. The computational algorithms which are inspired by nature to find solutions for such problems are called Nature inspired optimization algorithms. There are various nature-inspired algorithms and Firefly Algorithm (FA) is one among them. FA is a bio-inspired population-based stochastic algorithm which imitates the behavior of fireflies shown when they attract other fireflies. FA is an algorithm with many parameters that affect the accuracy and the convergence speed. A number of variants and parameter tuning related papers are available in the literature. In this paper first an introduction of Optimization, specifically Nature inspired optimization has been provided. Then, a detailed discussion about FA has been given. It is followed by a brief literature survey in which the work has been compared in tabular form to provide the readers with a better understanding. Further, we intend to improve the accuracy of Firefly algorithm by tuning the parameters namely α and βmin. A range of values of the above parameters is tested by forming their combinations to find out the mutual effect of both these parameters. These values are tested on a test bed of nine benchmark functions. The result is a combination of optimized values of both the parameters. The results are quite clear and provide a pair of optimized values of both the parameters.
Published by: Kavitha Rathore
Author: Kavitha Rathore
Paper ID: V4I6-1225
Paper Status: published
Published: November 17, 2018
High performance computing v/s big data
Simulation has become a “must have” item in the technology toolbox for manufacturers who wish to optimize the product development process, reduce production costs, and speed-time-to market. Along with Big Data insights and HPC solutions, simulation can enhance the product design process by leveraging to drive product innovation, improve time to time value. These models (Big data and HPC) provide the advanced capabilities that are needed by the manufacturers to get to the market faster than their competition. In this paper, we analyze the ecosystems of the two prominent paradigms for data-intensive applications, hereafter referred to as the high-performance computing and the Big data paradigm. Further, the characteristics of the two paradigms have been discussed, along with comparisons and contrasts of the two approaches. It also covers the scope of these paradigms and sheds light upon the specific workloads that utilize them. At last, we discuss the convergence of both paradigms; the best of both world’s approach.
Published by: Nikita Mutreja, Sanyam Jhamb
Author: Nikita Mutreja
Paper ID: V4I6-1139
Paper Status: published
Published: November 16, 2018
Perceptions of youth involvement in public policy making: A case study of selected areas within the La Nkwantanang Municipal Assembly, Ghana
The perceptions of youth involvement in public policymaking have been subject of discussion amongst various scholars around the globe. With youth confirming their displeasure in many ways (such as demonstrations and violent acts) about the failure of the communist authorities in involving them in policies that affect their present and future life, this study sought to investigate their perceptions of involvement in policymaking. In addressing these concerns the youth involvement model and political system model as well as objectives such as examining the relationship, effect and significance between youth involvement and public policy making in three communities within the La-Nkwantanang municipal assembly (the suburb of Accra Ghana) were included. Using the regression model with a quantitative approach as well as a random sampling technique to administering an adapted structured questionnaire to 120 sampled youth, results indicated that factors of youth involvement positively relate to public policy-making while views gathered indicated that youth-adult partnership factor relates more and should be a better approach to enhancing public policymaking. Secondly, results indicated that perceptions of youth involvement have a positive effect on public policy making. Lastly, perceptions of youth involvement were significant to public policymaking. It was however recommended that synergizing youth involvement factors such as community readiness, youth-adult partnership, youth leadership, and decision making as well as youth diversity will go along the way to limit the challenges that come with including the youth in public policy reforms.
Published by: Enoch Tufafa Koshi Adedze
Author: Enoch Tufafa Koshi Adedze
Paper ID: V4I6-1161
Paper Status: published
Published: November 16, 2018
Vibration detection instrument based on Internet of Things
This project is based on Vibration Detection using the Internet of Things. Vibration monitoring is the measurement of passing movements in a structure. This project involves developing an SMS alert when unusual vibrations are detected. It includes a lab-based experiment of detecting vibrations when a different magnitude of the force is applied. This force causes the change in values of the sensor from its initial values. Values of acceleration can be seen on the webpage and analysis can be done when required. Considering the maximum magnitude at which destruction is high, the alert signal would be generated. This alert would be sent to different mobile phones using GSM Technology. With the help of this, we can be aware of the vibrations. Properly done, vibration monitoring can be extremely helpful in preventing damage to structures understanding the nature of the damage and ascertaining its cause. Currently, we are using Arduino microcontroller, accelerometer sensor, and GSM Module as our main components. The code of the Arduino Uno microcontroller is written in C++.
Published by: Urvashi Jindal, Vaibhav Gupta, Dr. Sujata Dash
Author: Urvashi Jindal
Paper ID: V4I6-1199
Paper Status: published
Published: November 16, 2018
Forming a mathematical relationship between voltage generated and sound inputted using piezoelectric plates
Today’s rate of population growth is soaring higher than ever and shows no signs of regressing. Consequently, more and more resources are being consumed at an accelerated rate. In lieu of this energy and resource crisis, many alternate energy harvesting systems are being designed. This project aims to understand and appreciate the potential of sound via piezoelectric materials as a source of electricity. The aim is to recognize the relation between frequency and SPL of a sound wave with the voltage that the sound is capable of producing.
Published by: Ritvik Singh
Author: Ritvik Singh
Paper ID: V4I6-1183
Paper Status: published
Published: November 16, 2018
An intelligent car for physically handicapped with voice based control and vision based steering
People with physical disabilities have limited capabilities in moving, performing manual tasks and taking participation in some life activities. The objective of this paper is to bring to you a technology that helps those handicapped who don’t have healthy hands to run a vehicle by using head movement and the user can control the various sections of the car using voice recognition. This project will deal with Vehicle guidance and control based on human voice where the user can control the various sections of the car by Voice Recognition using MFCC Algorithm. At the start, the user can unlock / Lock the car doors using a voice-based password. Also, we will interface an Accelerometer Sensor to the user’s head. The user can control the steering of the car using the head movement. This project presents the design, implementation and experimental platform of a low-cost intelligent Vehicle for the physically disabled.
Published by: Vijay Berad, Dr. R. K. Patil, Nishant Chandane, Akshay Kamble
Author: Vijay Berad
Paper ID: V4I6-1174
Paper Status: published
Published: November 15, 2018
