National Conference on "Student-driven Research for Inspired Learning" in Science and Technology-NCIL-2015:IJSRD

NCIL - 2015

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology

Organised by ESRC and Dept of Electronics

Publication Partner International Journal for scientific research & Development (IJSRD)

Date: 16-17 October 2015

http://ncilindia.in/

http://mac.du.ac.in/

NCIL - 2015

Objective

We are pleased to announce the 2nd National Conference on “Student-driven Research for Inspired Learning” (NCIL 2015) in Science and Technology on 16 - 17 October 2015 being organized by Embedded Systems and Robotics Centre (ESRC) and Department of Electronics, Maharaja Agrasen College, University of Delhi.

The primary objective of this conference is to provide a forum to share the wide and varied practices and initiatives of the student driven and institutionally-supported research at the undergraduate/ postgraduate level which leads to the combination of factors necessary for pedagogical effectiveness, enhanced learning outcomes, research productivity, promote networking and stimulate discussion.

The spot light of the conference shall vary widely from broad research to technical skills with focus on group research where students are exposed to open-ended problems, but in a more structured and less resource intensive way than one-on-one mentoring typical of research experience for undergraduate/ postgraduate programs.

Target Audience

• Teachers / Mentors / Educators
• Under-graduate and Post-graduate Students

from the field of Bio Technology, Chemistry, Computer Science, Electronics, Embedded Systems, Information Technology, Instrumentation, Life Sciences, Mathematics, Nanotechnology,Physics, Robotics, any other related fields.

Call for Papers

We invite Educators, Scholars and Students to contribute to the conference with papers/posters that address themes mentioned above. Faculty members / Students interested to attend the conference may register by filling registration form attached below latest by 10th September 2015. Early submissions are welcome. The papers received will be reviewed by a panel of experts and the authors of the selected papers will be informed accordingly.

All papers presented in the conference shall be published in Special edition of International Journal  for Scientific Research & Development (ISSN No (online). 2321-0613. Impact Factor: 2.39)

Organised by

Embedded Systems and Robotics Center, and Department of Electronics Maharaja Agrasen College University of Delhi Vasundhara Enclave Delhi - 110096

Publication Partner

International Journal  for Scientific Research & Development Website: ijsrd.com

Ijsrd Call For Paper Data Mining

Special Issue For Data Mining 

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

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

• Submit Special Issue Manuscript Online

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

What is Data Mining..?

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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….

Games

            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)

Business

            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).

Special Issue For Image Processing

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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Thanks 2 all Authors For Making Fastest Growing E-Journal of INDIA.

IJSRD Successfully Completed 24 Issue.

Submission is open For Volume 3 - Issue 1 ,2015

Papers Received - More then 10000

Total Authors- More then 12000

Accepted Papers - More Then 3200

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IJSRD & TechFest 2014-15 (IIT-Bombay) presents TISC(Conference)

Techfest International Student Conference is an initiative to bring together the student community and professors with a common research background. TISC marks a step further in our endeavor to promote science and technology among the students by facilitating the exchange of knowledge between academia and industry.

Techfest International Student Conference presents a unique opportunity for students to present their work in front of fellow students, senior professors from top universities, industrialists and policy-makers. It aims at giving recognition to students for their research at a relatively young age. An enriching experience to research oriented minds, TISC will give young scientists an insight into the topic, learn new ideas and build networks beneficial for the future.

The theme for the conference is Renewable Energy Systems, potentially the most important aspect of human life in forthcoming decades. TISC is being hosted by IIT Bombay, one of the premier institutes of science and technology in India known for its path-breaking research and quality education.

A Glimpse into the 3-D brain | #IJSRD

People who wish to know how memory works are forced to take a glimpse into the brain. They can now do so without bloodshed: Ruhr Univ. Bochum (RUB) researchers have developed a new method for creating 3-D models of memory-relevant brain structures. They published their results in the trade journal Frontiers in Neuroanatomy.

3-D image of the hippocampus of a rat. Image

Lets Research !!! DO IT >>>> IJSRD

Seahorse gave the hippocampus the name

The way neurons are interconnected in the brain is very complicated. This holds especially true for the cells of the hippocampus. It is one of the oldest brain regions and its form resembles a seahorse (hippocampus in Latin). The hippocampus enables us to navigate space securely and to form personal memories. So far, the anatomic knowledge of the networks inside the hippocampus and its connection to the rest of the brain has left scientists guessing which information arrived where and when.

Signals spread through the brain

Accordingly, Dr. Martin Pyka and his colleagues from the Mercator Research Group at RUB have developed a method which facilitates the reconstruction of the brain's anatomic data as a 3-D model on the computer. This approach is quite unique, because it enables automatic calculation of the neural interconnection on the basis of their position inside the space and their projection directions. Biologically feasible network structures can thus be generated more easily than it used to be the case with the method available to date. Deploying 3-D models, the researchers use this technique to monitor the way neural signals spread throughout the network time-wise. They have, for example, found evidence that the hippocampus’ form and size could explain why neurons in those networks fire in certain frequencies.

Information become memories

In future, this method may help us understand how animals, for example, combine various information to form memories within the hippocampus, in order to memorise food sources or dangers and to remember them in certain situations.

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