Food recognition and analysis using image processing
Some portion of what makes getting in shape so troublesome is that checking calories is a vague science at best. Eating food without knowledge of its composition and nutritional contents prompts poor processing leading to poor health. The Smork is an electronic fork that helps you to screen and track your dietary patterns. Each time you convey nourishment from the device it Indeed, even with nutritious data, one needs to screen serving sizes, people are continually searching for approaches to enhance their health and wellbeing. The typical procedure of getting nutritional data is by utilizing google or utilize some application, for example, Coach, Noom, Calorie Counter, Lose It. In this paper, we proposed to make this procedure more brilliant, speedier, and more proficient by building an electronic device that can demonstrate the nourishment data by just taking a photo of the meal. Using Raspberry Pi board as the core processing unit of the whole system a Weight sensor, HX711 Load Cell Module and a 5MP Raspberry Pi camera attached to the smart fork collects data and transmits it to a food database where it is compared with predefined food values and tallies the image using an image processing technique on Matlab platform. The smart-fork connects to the Android application using Bluetooth. We build up an android reality application to help clients to get nourishing data in a simple way. The data is shown as calorie, fat, starch, and protein per serving. Utilizing this application, clients can get the healthful data just by taking a photo of the food and not with standing cooking techniques to know exactly how much calories are being expended. SmartFork needs to do all the tallying, compiling, analysis and leave the users of the fork to just do the eating.
Published by: Dheeraj Belliappa K S, Karan Vikram Singh Bhatia, Fathima Seher, Chinmita Shetty, Asha K S
Author: Dheeraj Belliappa K S
Paper ID: V4I3-1487
Paper Status: published
Published: May 22, 2018
Assess the knowledge regarding telemedicine among staff nurses in selected hospital of Indore, M.P
Telemedicine has a variety of applications in patient care, education, research, administration and public health. worldwide, people living in rural and remote areas struggle to access timely, good-quality specialty medical care. Residents of these areas often have substandard access to specialty health care, primarily because specialist physicians are more likely to be located in areas of concentrated urban population. Telemedicine has the potential to bridge this distance and facilitate healthcare in these remote areas. So there is great need to assess the knowledge of staff nurses regarding telemedicine.
Published by: Bhawana David
Author: Bhawana David
Paper ID: V4I3-1520
Paper Status: published
Published: May 22, 2018
Infrastructure security- Data transfer protection from attacks in named data network
In recent times, Attacks have become widespread, and they are difficult to detect in networks. It is because of their neighboring, simple and effective characteristics, Denial of Service (DoS), Distributed DoS attacks are recognized as one of the main threats faced by Network Services. To cope with the attacker problem, we have proposed a solution for Infrastructure security for the data transmission in the Named Data Network (NDN) by File Transfer Protocol (FTP), which combines the data encryption, satisfies the requirement of secure data transfer and also using dynamic routing protocols for secure web pages, file access through the routers from an unauthorized access. We have to check whether the user is the third party or not. If a user is the third party then he fails to login within the limited access time then admin will block that particular IP address. By this, we can provide a satisfied level of security to the infrastructure of the organization. This is simulated in Cisco Packet Tracer.
Published by: Rajeshwari K R, R Nagaraja
Author: Rajeshwari K R
Paper ID: V4I3-1504
Paper Status: published
Published: May 22, 2018
Analysis of characteristics of thermal power plant ash to replace the sand in concrete
Pond powder is one, crazy of three classification of fly cinder accessible from warm control stations. Different two classifications are dry fly powder Also lowest part ash, dry fly powder may be gathered starting with different rows about Electro-static precipitators On dry form, bottom fly cinder may be gathered during those base for heater furnace, Pond powder may be gathered starting with powder Pond region. Pond powder will be wastes Also by-products for warm energy plant, have been presented under indian cement industry should save regular assets from claiming parts of cement. Done India, practically of the warm force plants receive wet system for powder transfer. Pond powder is gathered starting with warm force plant In those bottom, in that it holds huge sum of moderately coarser particles (spanning from 150 microns will 2. 36 mm). Pond powder use aides to decrease the utilization of characteristic assets. Also it will be help on take care of those issue of transfer for Pond powder in light it holds enormous sum from claiming compound mixes, for example, SiO2, Al2O3 and so on. These concoction exacerbates (SiO2, Al2O3) need aid assumes a paramount part done hydration response Also aides to process security the middle of two contiguous particles likewise cement assumes a paramount part done long term time for structure something like that it may be likewise imperative to weigh impact for sturdiness Eventually Tom's perusing utilizing sulfate attack, chloride particle penetration, drying shrinkage. Coal-based warm control plants everywhere throughout those universe face not kidding issues of taking care of and transfer of the powder transformed. The secondary powder content (30-50%) of the coal in, india makes this issue complex. Toward present, regarding 80 warm energy stations prepare About 100 million tonsil from claiming coal powder for every annum.
Published by: Anoop, Sumesh Jain
Author: Anoop
Paper ID: V4I3-1510
Paper Status: published
Published: May 21, 2018
Air pollution modelling
Industrial chimney releases pollutant to the environment which causes air pollution. As an air pollutant is transported from a source to a potential receptor the pollutant disperses into the surrounding air so that it arrives at a much lower concentration than it was on leaving the source. Air pollution modeling helps to determine the mathematical relationship between the effects of source emission of pollutant on ground level concentration. Many dispersion models have been developed and used to estimate the downwind ambient concentration of air pollutants from sources such as industrial plants, vehicular traffic or accidental chemical release. Air Pollution emission plume i.e., the flow of pollutant in the form of smoke released into the air. Throughout many dispersion models, Gaussian Dispersion Models perhaps the oldest (circa 1936) and perhaps the most commonly used model type. The primary algorithm used in Gaussian modeling is the Generalized Dispersion Equation for a continuous point source plume. This paper reviews the air pollution modeling which relates the effects of source emission on ground level concentration by mathematical equations and terminology.
Published by: Kulshresth Singh
Author: Kulshresth Singh
Paper ID: V4I3-1522
Paper Status: published
Published: May 21, 2018
IoT based smart garbage collection system
Smart waste bin is essential to develop a successful and dynamic waste management system. Waste management from its beginning to its transfer is one of the vital difficulties for the municipal corporations in everywhere throughout the world. Dustbins set across finished urban regions set at open spots are flooding a direct result of expansion to the waste each day and making unhygienic conditions for the occupants. To keep up an essential partition from such a circumstance we have proposed remote strong waste management prototype for sharp urban groups, which empowers common associations to screen the status of dustbins remotely, completed web server and keep urban groups clean profitably by enhancing cost and time required for it. At the point when dustbin has accomplished its greatest edge level, waste management division gets alert by methods for SMS through GSM module set at dustbin so the workplace can send garbage collection vehicle to the specific area to gather the refuse. The objective of the undertaking is to enhance sensibility of IoT based strong waste collection and administration system for smart city.
Published by: Rahul Kumar Borah, Sahana Shetty, Rahul Patidar, Anisha Raniwala, Kratee Jain
Author: Rahul Kumar Borah
Paper ID: V4I3-1518
Paper Status: published
Published: May 21, 2018
