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Showing posts with label e-journal. Show all posts
Showing posts with label e-journal. Show all posts

Tuesday, April 12, 2016

RTIME-2k16 | IJSRD Conference

Nalla Narasimha Reddy Group of Institutions
School of Engineering
Department of Mechanical Engineering
presents
National Conference on
RECENT TRENDS & INNOVATIONS IN MECHANICAL ENGINEERING

“RTIME-2k16”


In association with

School of Engineering ,Nalla Narasimha Reddy Group of Institutions, Hyderabad,affiliated to the JNTU, Hyderabad and approved by AICTEis organizing one dayconference named “RTIME-2k16”on 25th April2016 in association with IJSRD. 



The National Conference on Recent Trends & Innovations in Mechanical Engineering (RTIME-2K16) will be a national forum for academicians, researchers and practitioners interested in the advances of mechanical engineering. The objective of RTIME-2K16 is to strengthen the relationship between research scholars, academicians, working professionals and scientists. The conference will focus on technical challenges, research updates and recent innovations. The conference will also have keynote addresses by eminent professionals.


Researchers working on following areas can submit their papers under following themes of conference.
Design Engineering
Material Science
Robotics
S Q C
Engineering Related Topics
Manufacturing Engineering
Thermal Engineering
Industrial Engineering
Automobile Engineering &
Other Mechanical
Organized by,
School of Engineering,
Nalla Narasimha Reddy Group of Institutions
Chowdariguda(V), Korremula X Roads,Ghatkesar(M), 
Ranga Reddy District-500088
Website : www.nnrg.edu.in


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

Saturday, December 19, 2015

Conference On Mechanical Engineering & Technology | #COMET2016

IIT(BHU), Varanasi 
Mechanical Engineering Society
presents 
COMET 2016
(Conference On Mechanical Engineering & Technology)

in association with
IJSRD – International Journal for Scientific Research & Development


Conference On Mechanical Engineering and Technology (COMET) was commenced with the aim of promoting excellence in the field of mechanical engineering and to provide a platform for bringing out the best among the department’s students. What started as a simple initiative soon spiralled into a conclave. Needless to say it has experienced exponential growth in the sheer number of participants, both internal and external alike, augmented by the quality alongside. The events in its fold have enthused engineers from colleges nationwide thus increasing its domain of influence over the years. Attracting almost 1000 odd external participants in its previous edition, we are confident that these will be more than double positively for the upcoming edition.

COLLOQUIUM

Colloquium,the paper presentation contest, offers a platform to the participants to present & exchange their ideas, innovations and solutions to engineering problems in front of a very scholarly audience. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. COLLOQUIUM is the premier forum for the presentation of new advances and research results in the fields of theoretical and experimental mechanical engineering. Students (B.E/B.Tech./M.Tech./Ph.D.), researchers and qualified personnel interested in the field of mechanical engineering are invited to present papers.
We hope that conference results will lead to significant contributions to the knowledge in these up-to-date engineering and scientific fields. 

  1. Topics of interest for submission include, but are not limited to:
  2. Advanced Manufacturing System.
  3. Applications of Aerospace Technology.
  4. Automation and Robotics.
  5. Automobile engineering.
  6. Biomechanics and Bioinstrumentation.
  7. Concurrent Design of Vibration System.
  8. Fluid Mechanics.
  9. Human Values and Professional ethics.
  10. Industrial Management.
  11. Material Science.
  12. Nanotechnology.
  13. Non-Conventional Sources of Energy.
  14. Thermal Engineering



Organized by

Mechanical Engineering Society,
Mechanical Engineering Department, 
IIT(BHU)-Varanasi 



Publication Partner

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

Saturday, September 5, 2015

CALL FOR PAPER : DATA MINING IJSRD

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).

Monday, May 12, 2014

IJSRD - A leading Research journal of India

This journal is mainly started to help researching peers belongs to Undergraduate, Postgraduate and Research students, call for paper +918866191212.

IJSRD given best opportunity to make world aware of their Paper

The Journal is started with noble effort to help the researchers in their work and also to share knowledge and research ideas, For more info please visit our site or call us on +918866191212.

Friday, April 25, 2014

IJSRD - Huge Platform for Good Indian Journals

IJSRD is an International Journal for Scientific Research & Development, which offers wide range of most important and popular journals and research papers that help the researchers in their work and also to share knowledge and research ideas.

How You Can Find The Best Indian Journals List

The IJSRD is one the great source for e-journal, Here you can get the best journals, research papers, thesis for engineering and science, undergraduate, postgraduate and research students.