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Performance assessment of electrode materials in the treatment of leachate by using electrocoagulation process

Leachate is wastewater generated during the decomposition of organic waste that can contaminate soil and groundwater if it is not handled properly. Contamination by leachate can be prevented by reducing the concentration of a pollutant in leachate before the wastewater reaches the ground. Researchers reduce the contamination level by the various method and electrocoagulation is one of the efficient methods for this application. This experimental work was planned to determine the effective pair of the electrode and optimizing the factors which affect the efficiency of electrocoagulation. From the first study, it may be concluded that Iron and Stainless steel pair show higher percentage removal of all the analyzed parameter than the copper and stainless steel pair. Then optimization was carried out with Iron and Stainless steel electrode to analyze the effect of current density, pH, inter-electrode distance, the concentration of electrolyte, electrolysis time and agitation on electrocoagulation. The optimized current density was determined as 60A/m2, electrolysis time was determined as 45 minutes, the inter-electrode distance was determined as 1.5 cm, pH was determined as 7.4, agitation speed was determined as 300 rpm, electrolyte solution was determined as 25% dilution.

Published by: Preethi M., Tamizh Mani E., Vasanth A.

Author: Preethi M.

Paper ID: V5I3-1345

Paper Status: published

Published: May 15, 2019

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Research Paper

VHDL implementation of acquisition sensor for optical communication terminal

This paper presents the development of the Acquisition sensor which is a part of overall Acquisition, Tracking and Pointing (ATP) mechanism for maintaining the line of sight (LOS) between two Optical Communication Terminals (OCT). The ATP mechanism is basically used to align the transmitting and the receiving optical communication terminals which in turn can continuously transmit the data between them. The Acquisition sensor is designed to acquire the LASER image falling on it which is being transmitted by the transmitter terminal and to process this image to calculate the 2-axis angular error. This error is then used to re-position the terminal to maintain the LoS if it is out from the Field of View (FOV) of the transmitter by feeding this data to Tracking and Pointing modules of ATP mechanism.

Published by: Ashika B. P., Anuradha Prakash, Shri. Ravi kumar K., Girija S.

Author: Ashika B. P.

Paper ID: V5I3-1337

Paper Status: published

Published: May 15, 2019

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Research Paper

Accelerated life testing of Electronic Control Unit

An Electronic Control Unit (ECU) is an embedded system in automotive electronics that control one or more electro-mechanical systems or subsystems in a vehicle. For a sophisticated automotive will almost have 200 ECUs for multipurpose. Optimal Accelerated Life Test (ALT) Plan of Temperature Cycling (TC) and Mechanical Vibration (MV) for ECU are developed. TC is carried out as per IEC60068-2-14 (Nb) and MV was carried out as per IEC60068-2-64. Failure data is recorded and fitted to Weibull Distribution using Maximum Likelihood Estimation (MLE) in Minitab. Coffin and Manson Model (CMM) has been used to observe failures due to TC and Minor Fatigue Model (MFM) has been used to observe failures due to Random MV. Reliability and Life of the ECU are estimated and compared with Sherlock Simulation.

Published by: Kotekallu Ravi, Anil Kumar Ammina, Dr. Sankar Velamury

Author: Kotekallu Ravi

Paper ID: V5I3-1332

Paper Status: published

Published: May 15, 2019

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Research Paper

Enhanced skeletonization algorithm for fingerprint images

Minutiae feature based fingerprint recognition systems heavily depend on the pixel-wise operations on skeletonized fingerprint image. The skeletonization is done by proper thinning algorithms. The minutiae features (Ridge endings and Bifurcations) can be extracted from a finely skeletonized fingerprint image. The efficiency of the thinning method determines the quality of the image skeleton and the accuracy in feature extraction. Therefore a new skeletonization technique is proposed. The new skeletonization algorithm uses a number of masks to check whether the pixel is on the boundary or not. Once the pixel is marked as boundary pixel, then the algorithm eliminates that pixel and repeat the process to get the fingerprint image skeleton of one-pixel width. The proposed system is computationally efficient and it preserves the connectivity of the pixels in the image.

Published by: Radhu Krishna R.

Author: Radhu Krishna R.

Paper ID: V5I3-1217

Paper Status: published

Published: May 15, 2019

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Research Paper

Longitude and latitude based travel route recommendation and disaster management system

The development of the travel industry gradually fosters personalized requirements of tourists, such as setting the start place, exploiting interesting activities and organizing the travel route and also natural disasters. Natural Disaster has threatened mankind since history started. Due to the geographic position and climate change, India is one of the most vulnerable countries to natural disasters. The country also lacks an effective disaster preparedness system to confront natural disasters. Timely disaster warning and evacuation guideline can save the lives of the people. In addition, a tourist may face difficulties in finding the best scenic spots on travel time and a safe area or shelter place prior to the occurrence of natural disasters. For this reason, proposed a location-based early travel route recommendation and disaster warning and evacuation system. The system is implemented as a desktop application. Here propose a system which takes advantage of online website to collect information of both scenic spots and real-world local activities, and proposed methods to recommend travel routes for tourists and also develop a disaster management system, which can take their instant location into account and satisfy their personalized demands. Specifically, extract scenery spots dataset from the shared dataset and popular activities from the online website. Then process these items and take the filtering results as the recommendation for tourists. And user registers on the server to get automatic notification of upcoming disaster otherwise user gets a manual notification. The user gets the updated data by the current position obtained by longitude and latitude. When our application recognizes the user in probable disaster zone then the application will disseminate visual disaster warning and evacuation guideline including shortest path of shelter or safe zone on the map of the application.

Published by: Athira Soman, Divya S. B.

Author: Athira Soman

Paper ID: V5I3-1349

Paper Status: published

Published: May 14, 2019

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Research Paper

Fabrication of model of solar panel cleaning machine

The cleaning of dust particles on the solar panel is a huge job and time taking the process and requires a lot of manpower and money. To remove this limitation automatic system is a good choice for no man operations, it also economical and autonomous as it requires no man to monitor. This project implements a solar panel cleaning automatic systems which can self charge it’s a battery and clean the dust on the solar panel only during the night time.

Published by: Meet Prajapati P., Tanuja Mishra P., Manisha Prajapati M.

Author: Meet Prajapati P.

Paper ID: V5I3-1304

Paper Status: published

Published: May 14, 2019

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