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IJSRD Successfully Publish All Paper with NICL-2015 Conference.

For More Visit http://www.ijsrd.com/index.php?p=C_Archive&c_number=1

Leading E-Journal #ijsrd

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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.

National Conference on "Student-driven Research for Inspired Learning" in Science and Technology : NCIL 2015 : Publication Partner www.ijsrd.com

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/

Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks : IJSRD.com

Paper Title :  Fault Diagnostics of Rolling Bearing based on Improve Time and Frequency Domain Features using Artificial Neural Networks

Author Name : Dr. Jigar Patel1 Vaishali Patel2 Amit Patel3 

Author Designation : 1Associate Professor 2Research Scholar 3Assistant Professor

Author College Name : 1KIRC, Kalol 2KSV, Gandhinagar 3CSPIT, Changa

Abstract - The neural network based approaches a feed forward neural network trained with Back Propagation technique was used for automatic diagnosis of defects in bearings. Vibration time domain signals were collected from a normal bearing and defective bearings under various speed conditions. The signals were processed to obtain various statistical parameters, which are good indicators of bearing condition, then best features are selected from graphical method and these inputs were used to train the neural network and the output represented the bearing states. The trained neural networks were used for the recognition of bearing states. The results showed that the trained neural networks were able to distinguish a normal bearing from defective bearings with 83.33 % reliability. Moreover, the network was able to classify the bearings into different states with success rates better than those achieved with the best among the state-of-the-art techniques.

Keyword - artificial neural networks (ANNs), condition monitoring, features extraction, Root mean square, Crest factor, Kurtosis, Skewness, Clearance factor, Impulse factor, shape factor, entropy, energy, upper bound, lower bound, central moment, signal distribution1, spectral skewness, spectral kurtosis, spectral energy, Periodogram. 

For Full Length Paper Visit http://www.ijsrd.com/Article.php?manuscript=IJSRDV1I4003

IJSRD CALL FOR PAPER 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

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….

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).

Now, a dedicated lifetime online space for science research scholars to share their work globally #ijsrd

IJSRD is an India's leading open access e-journal for all kinds of science, engineering & technologies manuscript. We publish original and high quality papers.

International Journal for Scientific Research & Development (IJSRD) is one of the leading e-journals which offers new ideas of current trends in Engineering and Science through published research papers with authentic data and pure knowledge. This online journal in the internet space is made available for all interested research scholars who look forward to showcase and share their work with their peer groups and others working in the same space across the globe.

At IJSRD, an exhaustive list of executive board members is available who were invited from a wide range of colleges, universities and research organizations to supervise the content. This online journal has proven to be extremely helpful for scholars and research students who call for research papers in their undergraduate, post graduate and higher levels of education. The original and supreme quality research papers that are uploaded and submitted in IJSRD are aimed at providing an outstanding all-round development to the students and research scholars in the field of Engineering and Technologies.

IJSRD is a monthly journal, publishes one issue per month. The precise and analytical narration of knowledge given by the reviewers in the journals make them more credible. IJSRD, touted as one of the premium online destinations for Journal of Science, has received about 19,255 papers and has about 27063 authors. The total number of accepted papers is 6473 till date.

IJSRD is easy to use and an open access peer reviewed International Journal wherein the research scholars are given the opportunity of downloading any relevant article or research paper from the website free of cost. These scholars are also allowed to submit their research papers online and generate an e-certificate online at any given point of time. One of the major highlights is that of referring to the statistics for each of the authored articles and papers and checking the status of the paper submitted online. 

For further details call us on +918866191212 or IJSRD can be contacted at info@ijsrd.com.

For more information, visit: http://www.ijsrd.com

Optimal Battery Charging in a Solar-Powered Robotic Vehicle #ijsrd

IJSRD Leading E-journals of India Found Good Article on Electronics Engineering.

Title : Optimal Battery Charging in a Solar-Powered Robotic Vehicle

Abstract— This project focuses on the working of a robot with the help of servomechanism solar panel and the ATMEL16L micro-controller .It has on chip memory used for storing the program (set of instructions). Based on the program execution the robot will take the decision in order to performing particular operation. Our proposed system is not only used to controlling the robot but also used for charging the battery completely in day time. It is also used for charging a mobile phone throughout the day. The aim is completing the process of charging a battery independently while the other battery provides all the energy consumes by the robot.

Key words: Servo Mechanism Solar Panel, Mobile Charger, Battery, Robot, Micro-controller

INTRODUCTION

In order to operate robot in which the decision is taken by robot itself. Here the robot is operated based on instructions stored in ATMEL16L microcontroller. The main Moto of this project is the decision is taken by the robot itself with help of solar energy and the servomechanism. Here the importance of servomechanism is used for getting solar energy from the sun entire day time, that is a solar plate is moved with respect to the direction of sun. The batteries are used in this project in order to storing the charge in daytime and that stored charge is used by robot during night time. Here the entire operation of robot is under the supervision of microcontroller. In this project we are using three LDR’s at different positions in order to get the solar energy in daytime. The operation of servomotor mechanism is depending up on the instructions executed in microcontroller, that is in microcontroller depending up on the voltage drop in LDR’s a particular group of instructions are executed. Due to this the servomotor mechanism works.

FUTURE SCOPE

This automation of battery charging and making it use for robot movement and task completion still can further extend to not only charging the mobile phone but also electronic gadgets such as laptops and high power consuming gadgets also. This application is relevant in the real time applications and Robot will be under continuous monitoring process without any gap of supply.  

For Full length Article Visit : http://www.ijsrd.com/articles/IJSRDV3I60017.pdf

For More Research Article Visit : www.ijsrd.com

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