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Smart steering in automobiles for safe driving

Automobiles have been an integral part of the modernization and development of civilization. Right from the beginning of the industrial revolution, there were a huge number of automobiles manufactured. This called in for the need for safety measures to be implemented into the vehicle for protection of the passenger in case of accidents. Various safety measures were implemented in this domain, such as functions like Seat belt, Anti-lock Braking System, Safety Airbag System and many more. The accident toll continued to increase over the years despite these safety measures. These accidents were caused by human negligence such as drunken driving, drowsiness, unhealthy condition and a lot more. This paper, hence, proposes a system in which the driver cannot drive under the influence of alcohol and also a basic level health condition test to check if the driver is fit to drive. It also has a system that can sense if the driver is sleepy and alerts the driver back to his senses if found sleeping. This can ensure the complete safety of the passenger while driving and can reduce the accidents to almost zero values that are caused by the above mentioned human faults. To add to the safety in case of any accident the system houses a crash detector and flame detector along with GPS and GSM modules to alert the nearby authorities to get to the rescue. As a whole, the system can provide unimaginable safety assurance against fatal accidents and hence save precious life's.

Published by: Kiran B. V., Albert James, D. Chandan Krishna, B. Dharshan, Dr. Manju Devi

Author: Kiran B. V.

Paper ID: V5I3-1366

Paper Status: published

Published: May 15, 2019

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Review Paper

A novel approach for designing smart cane for visually impaired

Usually, visually impaired people use a white cane as their mobility aid along with dogs as their guide. Using technologies to make smart walking cane which will assure safe mobility of the visually impaired person and reduce the energy spent on detecting an obstacle . In this paper, the smart cane is designed which will help a visually impaired person to walk confidently. The proposed project aims at the development of an Android-based Application for smartphones in which customers can connect to a cane. The camera on the cane sends real-time images of the current surroundings and the android application works on each frame to detect upcoming obstacles. The Convolution Neural network models help in the detection of objects using TensorFlow and stores the name of the object in a text file. Later the text in the text file is converted to voice using Google TTS (Text to Speech conversion). Thus using advanced technologies for better living.

Published by: Megha C. Sakkari, G. Krishna Chaitanya, K. Raveena

Author: Megha C. Sakkari

Paper ID: V5I3-1357

Paper Status: published

Published: May 15, 2019

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Research Paper

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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