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Showing posts with label good journals of image processing. Show all posts
Showing posts with label good journals of image processing. Show all posts

Monday, April 11, 2016

A Novel Technique for Realization of Circular Polarization in Planar Inverted F Antenna | IJSRD

In this paper various techniques for realization of circular polarization in Planar Inverted F Antenna for Nano satellite applications at 2.4Ghz (s-Band) is presented and several research works done on PIFA are categorized and discussed. PIFA is most commonly used and extensively demanded antenna especially in mobile communication because of its low profile, moderate gain, good radiation pattern, multiband operation.

Fig: Layout of PIFA in ADS
This  Article represents past study on planar inverted f antenna. After study of various research papers it can be concluded that with the suitable technique circular polarization can be generated in this antenna and thus can be useful in nanosatellite applications
             PIFA can be thought of as a combination of the inverted-F (IFA) and the short-circuit rectangular micro strip antennas. Quarter-wavelength Patch Antenna, which leads into the Planar Inverted-F Antenna (PIFA). It is small and has a low profile, making it suitable for mounting on portable equipment. It is a variant of monopole where the top section has been folded down so as to be parallel with ground plane. This is done to reduce the height of the antenna, while maintaining resonant training length
These are the applications of Planar Inverted F Antenna:
  1. Mobile Communication
  2. Satellite communication
  3. Direct broadcast services
An article  published in IJSRD by Jadav Ankita Bhavanbhai of Electronics and Communication Engineering from L.J.INSTITUTE OF ENGINEERING & TECHNOLOGY

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Monday, November 16, 2015

Real Time Weather Monitoring System #NCIL #IJSRD

Paper Title : Real Time Weather Monitoring System

Author(s): Sarthak Kala, Maharaja Agrasen College, University of Delhi; Pranav Negi, Maharaja Agrasen College, University of Delhi

Keywords: DHT11 , BMP 180, Tipping Bucket, Reed Switch, Arduino

Abstract : Weather reflects the short term change in our atmosphere, the volatile variable in our environment. Monitoring weather trends can give us an insight into the environment around us. The aim of this paper is to build an automated real time weather monitoring system by leveraging the power of Open Source Hardware. Never has the open source community been this much connected and implementation of this technology so convenient. All data is collected by different types of sensors available locally and are controlled using a microcontroller. Meteorological parameters being considered here are: Temperature, Humidity, Barometric Pressure, Rainfall and Wind Speed. Parameters like Heat Index and Wind Chill which are derived from combinations of Temperature &Humidity and Temperature & Wind-Speed respectively can also be calculated.

Saturday, October 10, 2015

High Impact Factor Journal IJSRD 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.

Saturday, September 5, 2015


Dear Researchers/Authors,

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:

(1) Selection
(2) Pre-processing
(3) Transformation
(4) Data Mining
(5) Interpretation/Evaluation.

To know more…….

Data mining involves six common classes of tasks:

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.

Application Areas….


            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.

Human rights

            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).

Monday, August 31, 2015

IJSRD identifies Evolution of Textile with Image Processing in Production.

IJSRD found that Textile Technology is evolving with Computer Technology used in it. One application of Computer Technology known as “Image Processing” identified at IJSRD is Fabric Defect Detection using Image Processing Techniques

Sanket Nalawade, Prafull Dabade, Dhananjay Adhav and Manoranjan Shingote from G. H. Raisoni Institute of Engineering and Technology, Maharashtra have identified useful application of Image processing in the Textile Technology. The Textile Production can be made more accurate and precise with the inclusion of Computer Technology in it. Authors have found a new way to use Image processing in Textile Industry and submitted their article to IJSRD.  

Their article briefly says that

They concluded that “This system will be able to address the problem such as low efficiency, lethargy and high error rate. As this system is simple but very efficient the setup can be installed on any place and the testing may start as soon as possible.”

To know more about in details of this process read article in IJSRD Journal on following link Click here

For more such type of articles please visit

Tuesday, August 4, 2015

call for paper 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.
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.