Smart trash bin for waste management using odor sensor based on IoT technology
IoT is transforming cities in a tremendous way. Efforts are made for having smarter ways of city waste management. Waste management always finds difficulty in knowing when to collect waste. If the vehicle comes to collect too early it would lead to unnecessary trips. And when comes to collect too late will result in an overflow of waste. Even though the level is moderate the odor produced by the waste can cause air pollution. These problems stated can be resolved using IoT technology used by this project. An app is designed to monitor the levels which the user can view. The workers need not want to approach the bin to know whether a waste is ready to be removed. Also, it is used to monitor whether the bin is not full and if not checks the smell of waste and then the bin can be removed.
Published by: Steffy Thankam Wilson, Tophia K. Sebastine, Merin Daniel, Vineeth Martin, Neenu R.
Author: Steffy Thankam Wilson
Paper ID: V5I2-2120
Paper Status: published
Published: May 3, 2019
IoT based bridge monitoring system
A bridge monitoring system is significant to the structural health monitoring of both old/new bridges and flyovers an infrastructure daily used by citizens of their respective countries. The following report is proposed and developed as architecture for bridge monitoring on a more secure level taking into consideration the various parameters that are involved in the structural health of bridges. A 3-level distributed structure is adopted in the monitoring system, which includes a central server, intelligent acquisition node, and local controller. Acquisition nodes are located across the bridge. One local controller manages all the acquisition nodes. Every acquisition node has 8 channels, which can easily and approximately sample the deviation of the line of sight, the vibration of the bridge due to a load of various transports and as well the water level which when cross a threshold lead to a flood. To get high precision data, a 10 bits A/D converter is being used. Compared to the traditional method, the proposed architecture has two features. The acquisition node is a smart device based on a powerful controller. Signals of field sensors are analyzed and real-time compressed in the acquisition node. Only the processing results are sent to the local controller through the IEEE 802.11 wireless network. This operation can relieve the load of a central server. The intelligent monitoring system has run on a large span bridge. Running results show that the proposed system is stable and effective.
Published by: Divya Muddala, Dhanashree Kamble, Pooja Nimbalkar, Ravina Patil, Sathish K. Penchala
Author: Divya Muddala
Paper ID: V5I2-2111
Paper Status: published
Published: May 3, 2019
Automated detection of diabetic retinopathy using retinal images
Automatic telemedicine framework for PC helped identification and order of diabetic retinopathy rely upon discovery of retinal sores in fundus pictures amid this paper, a totally exceptional method for programmed location of each small scale aneurysms and hemorrhages in shading fundus pictures is portrayed and substantial. The most commitment is another arrangement of structure alternatives, known as Dynamic structure choices, that don't require exact division of the locales to be ordered. These alternatives speak to the advancement of the structure amid picture flooding and grant to segregate among sores and nerve fragments. The technique is legitimate per-vessels and per pictures utilizing six databases, four of that territory unit in open advertised. It ends up being solid with significance inconstancy in picture goals of the retina, procurement framework. For the Retinopathy Challenge's information in on the web, the technique accomplishes a Free Response beneficiary Operating Characteristics score of 0.420 that positions fourth. Furthermore, for Messidor's data, when identifying pictures of the retina with diabetics, the arranged strategy accomplishes an area beneath the legendary beast bend of zero.899, love the score of human specialists, and it beats dynamic methodologies.
Published by: Mundra Charan Sai, V. S. K. Praveen, V. Teja Reddy, B.S Vidhya Sagar
Author: Mundra Charan Sai
Paper ID: V5I3-1155
Paper Status: published
Published: May 2, 2019
A review- Steel structures, pushover analysis
This paper represents the study of the assorted analysis papers on the all kind pushover analysis on a steel structure. The steel structure has a vital role in the industry in the last decades. To perform well underneath seismic masses it's necessary to style a structure. In step with the provisions of this Indian code (IS 800 -2007), the seismic performance of a multi-story steel structure building has designed. By introducing Steel bracings within the structural system the shear capacity of the structure are often enlarged to rearrange Steel bracings like D, K, and V kind eccentric bracings their square measure "n" numbers of solutions for numerous kinds of eccentric bracings as per the IS 800- 2007 a typical six-story steel structure building is generated. Within the gift study D, K, and V kinds of eccentric bracings square measure taken into thought. Through nonlinear static analysis performance of every structure is studied.
Published by: Bhavna Saini, Satish Parihar
Author: Bhavna Saini
Paper ID: V5I2-2044
Paper Status: published
Published: May 2, 2019
IoT based garbage monitoring system
A big challenge in the majority of cities all over India is that of waste management. The key issue in waste management is that the garbage bins at public places get overflowed well in advance before initiating the next cleaning process. Improper management of waste can be a major factor for environmental pollution resulting in several health issues. The traditional way of manually monitoring garbage bins is a cumbersome process and utilizes more human effort, time and cost which can easily be avoided with present technologies. In order to handle such issues, we propose an IOT based smart waste management system which checks the waste level over the dustbins by using sensors. The ultrasonic sensors are interfaced with Arduino Uno 3 Microcontroller to obtain and send the level of garbage to the server of concerned authority after waste is filled up to a particular level. Then authority can take required action by employing a worker to empty out the bins. So through this system, the real-time status of waste is monitored. Therefore one can ensure proper management of waste and this can be a step towards a quality environment which ultimately bodes well for human beings and other life-forms.
Published by: Praruj Bhajekar, Dhanush Singupalli, Piyush Dwivedi, Shivani Sumbha, Priyanka Shingane
Author: Praruj Bhajekar
Paper ID: V5I2-2146
Paper Status: published
Published: May 2, 2019
Design and analysis of circular microstrip patch antenna with and without slot using HFSS
Recently, the field of wireless communication is the most widely researched area and the study of the communication system is incomplete without knowing the operation and the use of different types of antenna. The study of microstrip patch antennas has made great progress in recent years. Compared with conventional antennas, microstrip patch antennas have more advantages and better prospects. They are lighter in weight, low volume, low cost, low profile, smaller in dimension and ease of fabrication and conformity. Moreover, the microstrip patch antennas can provide dual and circular polarizations, dual-frequency operation, frequency agility, broad bandwidth, feed line flexibility, beam scanning Omni directional patterning. Hence a Comparative study of circular microstrip-fed patch antennas for blue tooth application is presented in this project. The resonance frequency is chosen at 2.45 GHz which is suitable for industrial scientific and medical (ISM) band applications. HFSS is used as the software environment to design and compare the performance of the antennas with and without slot.
Published by: K. Karuna Kumari
Author: K. Karuna Kumari
Paper ID: V5I2-2180
Paper Status: published
Published: May 2, 2019
