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Showing posts with label high impact factor journal list. Show all posts
Showing posts with label high impact factor journal list. Show all posts

Sunday, November 22, 2015

Study of Effect of Climatological Variables on Crop Yeild Estimation Using Multiple Linear Regression #IJSRD

Study of Effect of Climatological Variables on Crop Yeild Estimation Using Multiple Linear Regression


Author(s):  Dr. T. M. V. Suryanarayana , WREMI, The M.S. University of Baroda

Keywords: Climatological Data, Crop Yield, Multiple Linear Regression, R.M.S.E., Coefficient of Correlation

Abstract

An attempt has been made to carry out the study of determining the predominant climatological variables in estimating the crop yield. The climatological data are collected for the period 1981- 2006 and correlated with yield of cotton in Vallabh Vidyanagar using Multiple Linear Regression. The Climatological variables considered are Maximum Temperature, Minimum Temperature, Relative Humidity, Wind Speed and Sunshine Hours. The multiple linear models have been developed, to study their impact in prediction of the crop yield. The study has been carried out with eight different combinations of the five independent variables considered, to correlate with the crop yield. In each combination, i.e 1 to 8, the whole data is divided into proportions for training and Validation, such as 70% and 30% & 60% and 40% respectively. The developed Multiple Linear Regression Models are evaluated based on the performance indices such as Root Mean Squared Error and Correlation Coefficient. Based on the evaluation, the models developed are found to perform better in 60%-40% proportion of the data considered for the Study. Therefore in this considered proportion of the dataset, the models developed are ranked based on the obtained R.M.S.E. and R. The results clearly show that the consideration of all the variables, yield the best model with minimum R.M.S.E. and maximum R, followed by the combinations considering Maximum Temperature, Minimum Temperature, Relative Humidity as dependent variables along with/without Wind Speed/Sunshine hours. Moreover excluding the Relative Humidity, and trying the combinations of Maximum Temperature, Minimum Temperature along with/without Wind Speed/Sunshine Hours yields the poor models with maximum R.M.S.E. amd Minimum R. Hence considering multiple linear regression models and the eight combinations studied, it reveals that the yield of a crop is very much dependent on maximum and minimum temperatures & relative humidity.

For Full Length Paper :

Saturday, October 10, 2015

High Impact Factor Journal IJSRD

https://in.linkedin.com/in/ijsrd

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.

Monday, September 21, 2015

#IJSRD FOUND TOP 10 CHALLENGING PROBLEMS IN DATA MINING

All researchers working on data mining, here we found some useful challenges of Data Mining.
  • Developing a unifying theory of data mining
  • Scaling up for high dimensional data and high speed data streams
  • Mining sequence data and time series data
  • Mining complex knowledge from complex data
  • Data mining in a network setting
  • Distributed data mining and mining multi-agent data
  • Data mining for biological and environmental problems
  • Data Mining process-related problems
  • Security, privacy and data integrity
  • Dealing with non-static, unbalanced and cost-sensitive data
If you have more suggestion please add it to comment.
To know more about data mining and related topics please visit www.ijsrd.com

Saturday, September 12, 2015

How To Publish Research Paper #IJSRD

How To Publish Research Paper @ IJSRD



IJSRD is a leading e-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.

All the published papers are submitted to the major indexing services for indexing.

For Submit article online Click Here


Saturday, September 5, 2015

IJSRD LEADING E-JOURNAL CALL FOR PAPER IN 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


 IJSRD

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).


Friday, September 4, 2015

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

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 www.ijsrd.com

Friday, February 27, 2015

#IJSRD #New Milestone #Leading E-Journal #India

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