IJSRD ||“Habitat Conclave 2016” Paper presentation on “Smart & Sustainable City”|| February 2016

Solid Waste Management: A Case Study of Ahmedabad

Author(s):

Jil Tushar Sheth ; Kinara Patel; Prof. Dipsha Shah

Keywords:

Solid Waste Management, AMC, Composition, Green House

Abstract

Due to population upsurge and urbanization, solid waste management is now one of the chief issues to deal with as it affects quality of life. Ahmedabad is the 7th largest city of India and generates about 4000 Metric tons of waste daily. The foremost segments responsible for the emission of GHGs are energy supply with 26% followed by industrial activities with 19%, while the commercial areas including buildings and residential with 8% and waste sector with 3%. Out of the total emissions from waste sector, the solid waste contributes nearly 22 % of total greenhouse gas emission in Indian context which in turn is the 3% of the total sectorial emissions. The studies reveal that this MSW comprises of more than 50% of organic waste in Indian context as it contains vegetable, food waste, animal dung, paper, cloth and other biodegradable components as well.[1] This study aims at providing an overview of the stages of waste management i.e. Prevention, Minimization, Reuse, Recycle, Energy recovery, Disposal and its composition at the Ahmedabad city level. It also provides a further insight of feasibility and aids of adopting segregation at source and decentralisation of swm in order to provide better future. A sample survey of Ghatlodiya that was carried out by JTC Agency which revealed that vast majority of people are willing to segregate as per law (87%+). [2] Decentralization and segregation at source can be beneficial as compared to current cost of INR 1000 per ton for solid waste management, cost can reduce to 418 per ton and also can lead to better standard of living of society. Out of 4000 MT generated daily only 800 MT would be needed to dispose daily which would lead to 80% volume reduction then current scenario. As only 800MT tones would be disposed, it would further lead to reduction in GHGs emission and thus would help lower carbon footprint.

http://www.ijsrd.com/C_Article.php?manuscript=HABTP006

Special Issue For Image Processing #IJSRD

Best 25 papers will be published online.Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.

• Submit Special Issue Manuscript Online

• Last Date For Paper Submission of Special Issue : 25th August 2015

What is Image Processing?

Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processingsystem includes treating images as two dimensional signals while applying already set signal processing methods to them.
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us

Image processing basically includes the following three steps.

• Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
• Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
• Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing

The purpose of image processing is divided into various groups. They are:

• Visualization - Observe the objects that are not visible.
• Image sharpening and restoration - To create a better image.
• Image retrieval - Seek for the image of interest.
• Measurement of pattern – Measures various objects in an image.
• Image Recognition – Distinguish the objects in an image.

Applications of Image processing

Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….

Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition

Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.

Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
 Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.

 Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.

Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.

And many other applications…..

To contribute your research work in Image processing please prepare an article on it and submit to us.

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These posters by Anna Vital on Scuttlebutt will tell you what it takes to be on the top.

Here is why most people choose to be entrepreneurs.

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