Performance analysis and flow features of swirl diffuser in a floor based air conditioning system
In this work, the variation in the temperature of conditioned air and improvement in thermal human comfort by adopting different models of floor swirl diffuser are investigated. The experiment is performed in the workshop lab of Mechanical Engineering Department, LNCT, Bhopal. The aim of this study is to find out the airflow pattern and its distribution through different swirl diffusers installed at the floor in an air-conditioned room. The experiment is based on predicting the nature and behaviour of air diffused by three different types of swirl diffusers having the slot with a draft angle of 10°, 11º and 12º under different operating and flow conditions. An experiment is performed to evaluate the thermal comfort produced in a room equipped with the heat load of 1000 W load capacity with different swirl diffusers and compare their performance graphically. The graphs are plotted between temperatures of diffused air inside the room and vertical height from floor level.
Published by: Mihir Kumar, Deenoo Pawar, Shailendra Dwivedi
Author: Mihir Kumar
Paper ID: V4I5-1416
Paper Status: published
Published: October 15, 2018
Effect of partial replacement of sand by glass powder and steel powder over the properties of M-30 concrete
Experimental work had been conducted on cement concrete prepared by mixing ordinary Portland cement and modified with different percentages of steel powder and glass powder in partial replacement of fine aggregates. Concrete mixes are modified by 10%, 15% and 20% and 25% of glass powder and steel powder in replacement. For each replacement, several cubes have been cast for determining the compressive strength and workability.
Published by: Achal Jain, Nitin Thakur
Author: Achal Jain
Paper ID: V4I5-1413
Paper Status: published
Published: October 15, 2018
Density based traffic detection system using emergency override
Traffic congestion is a severe problem in many major cities across the world and it has become a major issue for the commuters in all the cities. The delay of respective light is hardcoded in the traffic light and it is not dependent on traffic. This creates unnecessary waiting for drivers, which could not be endurable in every case, as being in time, is important to everyone. Density, speed, and flow are the three critical parameters for road traffic analysis. As the number of road Users constantly increases, and resources provided by current infrastructures are limited, the control of traffic has become a very important issue in the present. Also, one of the major problems faced by heavy traffic is by Ambulances. The aim of this project is to solve traffic congestion which is a severe problem in many modern cities all over the world. The traffic density is controlled using a microcontroller. This the system contains IR transmitter and IR receiver which are mounted on either side of roads respectively. The IR system gets activated whenever any vehicle passes on a road between IR transmitter and IR receiver. The objective for usage of IR sensor is to detect obstacles. The microcontroller controls the IR system and counts the number of vehicles passing on the road. The microcontroller also stores vehicles count in its memory. Based on different vehicles count, the microcontroller takes the decision and updates the traffic light delays as a result. It calculates the glowing time of LED according to the density of vehicles. If the density is more, LED will glow for a longer time than normal average and vice versa. It means that the timing of the traffic lights is set according to the density of the vehicles. This helps in the reduction of the traffic congestion and it has a scope for further expansion in the future. By measuring the traffic lined up on a particular road the signal timings are adjusted to let that particular way clear out and then the next populated one. It also consists of an emergency override that allows traffic authorities to remotely let go a particular signal in case an ambulance or important vehicle arrives on that way.
Published by: Rachana Sai, Dr. S. S. Subashka Ramesh, Meghana J. V., Kundana Lakshmi .Y
Author: Rachana Sai
Paper ID: V4I5-1396
Paper Status: published
Published: October 15, 2018
Finger recognition and gesture based augmented keyboard
In this project, we have tried to reduce the gap between the real world and the augmented environment to produce a mixed reality system. For that purpose, we created a virtually controllable keyboard system which is created and implemented using OpenCV libraries and python3.2.1. To provide an easy immersive augmented experience which is also gesture enabled, we employ a web camera which is integrated with OpenCV libraries through a compiler. Using our system, users can control a virtual keyboard using their finger movements and fingertips. Further, users can communicate with people who are viewing the screen, the user selects an alphabet with their fingertip and can move the keyboard with the help of hand gesture. Our model can be utilized by people who are specially-abled and people who cannot talk properly or communicate as they can communicate with others using our proposed system. This paper describes the way of implementing a virtual keyboard without any additional hardware but by using the webcam available in the system. The webcam simply captures the consecutive frames and compares them to recognize it as a click if there is a difference in the contour.
Published by: Jagannathan MJ, Surya M, Aqib Muhammed BT, RJ Poovaraghavan
Author: Jagannathan MJ
Paper ID: V4I5-1394
Paper Status: published
Published: October 15, 2018
Automatic rain sensing car wiper
The issue of driver's safety is of great importance in today's automotive industry. In many cases, lack of proper vision is responsible for accidents during heavy rainfall. In many cases, manual errors like not increasing the speed of the wiper by the driver leads to accidents. Today's car wipers work on the principle of manual switching. In this paper, we proposed an automatic rain sensing wiper system that detects rain and starts automatically and stops when the rain stops. The automatic rain sensing car wiper system is not only automatic but also intelligent. The wiper system detects the rainfall automatically and starts itself. The Wiper system is also Intelligent. When the droplets of rainfall on the sensor, the sensor detects the intensity and the speed of the wiper is automated accordingly. The higher speed of rotation indicates the higher rainfall. There will be no need for manual intervention for controlling wiper. In this project, we use Arduino along with a rain sensor, a LCD 16x2 module, and a servo motor. The moisture is measured via analog output pins which are present in the rain sensor, the wiper starts rotating when a threshold of moisture is exceeded. The module used here is completely based on LM393 op-amp. The information sensed by the rain sensor is sent to Arduino. The Arduino is an Atemga8 based microcontroller board. Interactive electronic devices can be designed and created by using Arduino, which is a platform to develop the working of electronic devices. It consists of an onboard power supply and a USB port to communicate with pc. The collected information from the rain sensor is processed and analyzed by Arduino and it further controls the servo motor based on the processed information. The information about the intensity of the rainfall and speed of the wiper is informed to the driver by means of a 4-bit LCD module which is kept near the driver's seat. The rain sensor is kept at the side of the windshield, outside the car. The rain sensor is connected to the servo motor. The blades of the wiper are connected to the servo motor. All the devices are connected to Arduino which is connected to the power source inside the car.
Published by: P. Abhilash Reddy, G. Sai Prudhvi, P J Surya Sankar Reddy, Dr. S. S. Subashka Ramesh
Author: P. Abhilash Reddy
Paper ID: V4I5-1140
Paper Status: published
Published: October 15, 2018
Smart home automation using AI and XMPP protocol
Home automation is on the horizon. It is an emerging technology and also a need of today. From the last decade, a number of standards have been defined for home appliances. The main objectives of home automation are controlling, management and coordination of home appliances in a comfortable, effective and secure way. On the other hand, Artificial Intelligence is evolving as a technology for developing automatic systems that can perceive the environment, learn from an environment, and can make a decision using case-based reasoning. Using Vision capability, knowledge-based, learnability, decision making and reasoning the AI provide a better solution for almost all automatic systems. In this paper, we will see the types of home automation systems and then see how these systems can utilize the AI tools so as to increase the effectiveness, powerfulness etc.
Published by: Jacob Simon Areickal, S. Gopi
Author: Jacob Simon Areickal
Paper ID: V4I5-1412
Paper Status: published
Published: October 15, 2018
