IJSRD - International Journal for Scientific Research & Development is an India’s leading Open-Access peer reviewed International e-journal for Science, Engineering & Technologies’ Manuscript. Call for original and high quality research paper publish.
Jil Tushar Sheth ; Kinara Patel; Prof. Dipsha Shah
Solid Waste Management, AMC, Composition, Green House
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. 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%+).  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.
Interested participants/Authors can prepare a paper/article showing their idea in the well managed format. They have to submit their article here. Innovative ideas will be selected and participants will be called for presentation during event.
Researchers working on Smart & Sustainable City development can submit their papers under following themes but not limited to.
IJSRD Recently Published Good Article on "Mathematical Investigation on Emission of Bio Diesel in Internal Combustion Engine"
Mathematical Investigation on Emission of Bio Diesel in Internal Combustion Engine
Vijayakumar M , M.KUMARASAMY COLLEGE OF ENGINEERING; P.C.Mukesh Kumar, University College of Engg, Dindigul.Tamilnadu, India; N.Prasanna, M.Kumarasamy college of Engg, Karur, Tamilnadu, India Keywords:
Bio-diesel, Minitab, regression, method of least squares, emission Abstract
Energy demand keeps on increasing every year because of the gap between demand and production. Currently biodiesel is introduced to reduce this gap and though the production of biodiesel is limited for commercialized. At present many research work are being carried out for investigating emission of biodiesel in internal combustion engine experimentally. The experimental test run requires more time, money and man power. In this work mathematical model for investigating on emission of biodiesel in internal combustion engine is proposed. It is also compared with the experimental data and the minitab software data. On comparing it is found that this proposed mathematical model gives better result than the software generated mathematical model with accuracy of 85%
Author(s): Abhinav Chauhan , DIT University, Dehradun; Daksh Chawla, DIT University, Dehradun; Vinay Kumar, DIT University, Dehradun; Sandeep Sharma, DIT University, Dehradun
Keywords:Wireless AC Supply On-Off System, Transmitter Section, Receiver Section
Abstract: This work includes the information to develop and fabricate a wireless ac supply on-off system. Our motivation of doing this project is physically differently abled individuals who face the difficulty in on-off of their room appliances like fan, tube light. This project is also being successfully tested and implemented for motion of 60kg robot in Robowars at Techfest, IIT Bombay and Robowars at Cognizance, IIT Roorkee. This is a simple type remote control by using RF communication without microcontroller. In this project a remote has been designed for various home appliances like television, fan, lights, etc. It gives lot of comfort to the user since we can operate it by staying at one place. We can control any of the appliances by using this remote within the range of 400 foots.
ijsrd.com is a leading indian journal, under which we are encouraging and exploring newer ideas of current trends in Engineering and Science by publishing papers containing pure knowledge. The Journal is started with noble effort to help the researchers in their work and also to share knowledge and research ideas. All research interested scholars are given best opportunity to make world aware of their work. With precise and analytical narration of knowledge by our reviewers, our journal is providing implemental economy and latest global transposition to research. This monthly journal is mainly started to help researching peers belongs to Undergraduate, Postgraduate and Research students.We publish original and high quality papers. We aim to cover the latest outstanding development in the fields of Engineering and Technologies. All the published papers are submitted to the major indexing services for indexing.
IJSRD is promoting a new field of this Digital Generation-“Data Mining”. In accordance to it IJSRD is inviting research Papers from you on subject of Data Mining. This is under special Issue Publication by IJSRD. In addition to this authors will have a chance to win the Best Paper Award under this category.
To submit your research paper on Data Mining Click here
What is Data Mining..?
Data mining (the analysis step of the "Knowledge Discovery in Databases" process. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.
The actual data mining task is the automatic or semi-automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records and dependencies.The Knowledge Discovery in Databases (KDD) process is commonly defined with the stages:
Anomaly detection (Outlier/change/deviation detection) – The identification of unusual data records, that might be interesting or data errors that require further investigation.
Association rule learning (Dependency modelling) – Searches for relationships between variables. For example, a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as market basket analysis.
Clustering – is the task of discovering groups and structures in the data that are in some way or another "similar", without using known structures in the data.
Classification – is the task of generalizing known structure to apply to new data. For example, an e-mail program might attempt to classify an e-mail as "legitimate" or as "spam".
Regression – attempts to find a function which models the data with the least error.
Summarization – providing a more compact representation of the data set, including visualization and report generation.
They are used to store human strategies into databases and based on that new tactics are designed by Computer ( in association with Machine Learning, Artificial Intelligence)
Businesses employing data mining may see a return on investment. In situations where a large number of models need to be maintained, some businesses turn to more automated data mining methodologies.In business, data mining is the analysis of historical business activities, stored as static data in data warehouse databases. The goal is to reveal hidden patterns and trends. Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data to assist in discovering previously unknown strategic business information. Examples of what businesses use data mining for include performing market analysis to identify new product bundles, finding the root cause of manufacturing problems, to prevent customer attrition and acquire new customers, cross-selling to existing customers, and profiling customers with more accuracy.
Science and engineering
In recent years, data mining has been used widely in the areas of science and engineering, such as bioinformatics, genetics, medicine, education and electrical power engineering.
Data mining of government records – especially records of the justice system (i.e., courts, prisons) – empowers the revelation of systemic human rights infringement in association with era and publication of invalid or deceitful lawful records by different government organizations
Medical data mining
Some machine learning algorithms can be applied in medical field as second-opinion diagnostic tools and as tools for the knowledge extraction phase in the process of knowledge discovery in databases.
Spatial data mining
Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to visualization and data analysis. Data mining offers great potential benefits for GIS-based applied decision-making.
Temporal data mining
Data may contain attributes generated and recorded at different times. In this case finding meaningful relationships in the data may require considering the temporal order of the attributes.
Sensor data mining
By measuring the spatial correlation between data sampled by different sensors, a wide class of specialized algorithms can be developed to develop more efficient spatial data mining algorithms.
Visual data mining
During the time spent transforming from analogical into computerized, vast datasets have been created, gathered, and stored finding measurable patterns, trends and information which is covered up in real data, with a specific end goal to manufacture prescient formations(patterns).
Abstract :- Vehicular Ad hoc Network (VANET) is a new
communication paradigm that enables the communication
process between these vehicles which acts as nodes in the
network. Various methods of data dissemination in VANET
are used to inform the vehicles about the dynamic road
traffic conditions for achieving safe and efficient
transportation. Ad-hoc On-demand Distance Vector
(AODV) is a reactive routing protocol designed for the adhoc
networks. AODV is an unicast routing protocol which
establishes a route only when a node wants to send data
packets. AODV involves route discovery and route
maintenance process. Due to large delay in the route
discovery process and due to route failure which may
require a new route discovery process, the data transmission
rate decreases and network overhead increases. In this paper
we have discussed AODV protocol and its comparison with
OLSR and DSR routing protocol.
Key words: VANET, AODV, OLSR, DSR
Since their arrival in the 1970s, the use of wireless
communication technology has increased. An ad hoc
wireless network consists of mobile nodes which
communicate with each other without any infrastructure.
Vehicular Ad hoc Network (VANET) is a new technology
integrating ad hoc network, WLAN and cellular technology
to achieve intelligent inter-vehicle communications and
improve road traffic safety and efficiency. IEEE formed the
IEEE 802.11p task group for Wireless Access in Vehicular
VANET is a new distinctive form of Mobile Ad
Hoc Network (MANET). Without having any infrastructure
and legacy client and server communication, VANET is a
highly autonomous network where each vehicle in it acts as
a wireless router or a node to communicate with nearby
vehicles and fixed roadside equipment. In VANET the
movement of vehicles is affected by the factors like the
structure of the road, traffic congestion and traffic rules.
VANET involves topology which changes very rapidly and
also the network gets disconnected frequently.
Many routing protocols have been proposed for ad hoc
networks. A protocol can perform worse or better than other
protocols depending upon scenario of ad hoc networks.After reviewing different approaches we can conclude that
AODV is better than OLSR and DSR in terms of packet
delivery ratio and end-end delay.
Though some improvement needed in AODV
routing protocol because the route discovery process on
route failure causes a great delay.
The Idea behind real time traffic control using image processing is due to increase in number of vehicles on road which causes traffic congestion. There are various successful techniques to overcome this problem such as inductive loop detectors, magnetic loop detectors and video based system. We propose a system based on measurement of vehicle density on road using Real Time Image Processing. To control the congestion in traffic signal intelligently by using density information in this paper we are presenting the algorithm with the help of which the congestion in traffic can easily retrieved. The image sequences from camera are analyzed using edge detection and counting methods. Subsequently the number of vehicles at intersection is evaluated due to which traffic can easily be managed moreover determined vehicle density can easily be compared with other direction of traffic in order to control traffic signals efficiently.
An Overview and Study of Android 5. Author(s): Ankit Kumar Jain , IET,DAVV Indore(M.P.)
Balram Jatav, IET,DAVV Indore(M.P.)
Er.Arpit Agrwal, IET,DAVV Indore(M.P.)
Android, Lollipop 5.0, Smart phone
Android is Linux based mobile OS which is being used by popular smart phone brands like Samsung, LG, HTC, Sony Xperia, and many other. Android 5.0 "Lollipop" is the latest version of the Android mobile operating system developed by Google. Unveiled on June 25, 2014 during Google I/O, it became available through official over-the-air (OTA) updates on November 12, 2014. This paper will contain detailed study of Android 5.0: Lollipop OS. It will cover stepwise development of android OS up to Lollipop. Contrast of Lollipop from old android OS, IOS and Windows Phone OS, details review of technical background of Lollipop OS.
Security issues of different database driven web applications are continue to be an important and crucial aspect of the ongoing development of the Internet. In the last several decades, Web applications have brought new classes of computer security vulnerabilities, such as AQL injection. SQL Injection Attacks (SQLIAs) is one of the most severe threats to the security of database driven web applications as it compromises integrity and confidentiality of information in database. In this type of attack, an attacker gain control over the database of an application and consequently, he/she may be able to alter data. In this paper we present different types of SQL injection attacks and also implementation of different types of tools which can be used to detect and prevent these attacks.
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.
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