Vol 6 Issue 1 January 2018-March 2018

Abstract: The autonomous mobile robots used for development of road marks painting. This document deal with Concept of Autonomous Road Median Painting Machine with the help of Arduino in order to avoid fatal accidents and large man power involvement. The important purpose of the system is to accomplish its tasks using the autonomous navigation device for road detection and painting. The advantage of this system is to minimize the blocking of the roads during painting and repainting of the faded marks.

Keywords: Autonomous mobile robots, road median painting, repainting, road detection, navigation.

Title: CONCEPT OF AUTONOMOUS ROAD MEDIAN BLOCK PAINTING MACHINE

Author: SIVANAND.T, PRAVEENA.T

International Journal of Engineering Research and Reviews

ISSN 2348-697X (Online)

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Abstract: Yarn evenness is a key factor in its performance and in the properties of the material produced from the yarn. The presence of defects in a yarn will result in the deterioration in the quality and usability of the yarn. While many methods are available to ascertain the yarn evenness many of them are tedious and dependent on the operator for its results, while others, though less subjective and of high speed, are prohibitively expensive. A machine vision method which uses a cost-effective image capture device and image processing algorithms to process the captured images, generate a diameter variation plot and analyse the same to count the number of thick and thin places in the yarn. The yarn images are continuously captured via an image acquisition system in real time. Software is continuous measure the yarn diameter, then coefficient of variation (CV value) of the diameter is calculated to characterize the yarn diameter irregularity. Deep learning ANN algorithm of Artificial intelligence technique helped to exact identify the edge of yarn for diameter measurement.

Keywords: diameter variation plot, evenness testing, image processing, thick places, thin places, yarn diameter, yarn evenness, deep learning, ANN.

Title: JUTE YARN DIAMETER IRREGULARITY ANALYSIS BASED ON DEEP LEARNING

Author: Sujai Das, M. Bhowmick, T.K. Kundu

International Journal of Engineering Research and Reviews

ISSN 2348-697X (Online)

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Abstract: Modern daily activities make some people have difficulty to care about his health. Urban air pollution, work pressure, and irregular diet increase the risk of such a person to become infected. In fact, some of the diseases would not cause any symptoms prior to severe ones. One of them is the coronary heart disease. According to a study conducted by the WHO (World Health Organization), in 2030 an estimated 23 million lives lost each year from cardiovascular disease. This value will continue to grow if no proper solution is found. Internet of Things (IoT) technology developments allow humans to control a variety of high-tech equipment in our daily lives. One of these is the ease of checking health using gadgets, either a phone, tablet or laptop. This paper describes the use of IoT technology for measuring the human heart rate that can be monitored using the gadget. As the result of this application, people can easily monitor their heart rate.

Keywords: IoT, gadget,heart rate, measurement, mobile application;

Title: ANTHROPOLOGICAL CORE FREQUENCY RECOGNITION AND ALERT

Author: Dr.T.Kalaichelvi, Chakka Greeshma, Aavula Bala Kundhana Reddy, R.Anusha

International Journal of Engineering Research and Reviews

ISSN 2348-697X (Online)

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Abstract: The objective of the work reported in this paper is to propose ways of improving the recovery on a low grade gold ore. To date, no work on optimizing this particular ore has been done in order to improve the recovery. Five size fractions used in the leaching tests reveal that recovery is a function of operational parameters. The optimum values for these parameters that gave a maximum recovery were: particle size (-150 + 75 µm) concentration of the lixiviant (210 ppm), temperature (85oC) and mixing speed (900 rpm).  We then applied the shrinking core model and ash layer diffusion is the slowest step. An empirical model was then proposed to predict the leaching behaviour of the gold ore. A value of 12, 9 kJ /mol was obtained for Activation Energy (Ea) which is consistent with some results from leading researchers.

Keywords: Gold, Cyanidation, Process Optimization, Shrinking core Model.

Title: Optimisation of the Leaching Parameters of a Gold Ore in Sodium Cyanide Solution

Author: Nkosikhona Hlabangana, Siboniwe Bhebhe, Nonhlanhla G. Mguni, Gwiranai Danha, Joel Tshuma

International Journal of Engineering Research and Reviews

ISSN 2348-697X (Online)

Research Publish Journals