Showing posts with label IJSRD. Show all posts
Showing posts with label IJSRD. Show all posts

Monday, February 22, 2016

IJSRD ||“Habitat Conclave 2016” Paper presentation on “Smart & Sustainable City”|| February 2016

Urban Infrastructure Issues and Solutions

Author(s):

Ashish Shakuniya; Shweta Prasad; Swati Bhute

Keywords:

Urban Infrastructure Issues, Urban Infrastructure Solutions

Abstract

In successful economies, cities are the engines of growth and infrastructure plays a significant part in the generation of economic progress and development. It also performs as the main driving force of urban activities. However in the era of intelligent technology, wherein new business models and creative thinking are required to design contemporary systems based on hard infrastructure working together with operational and digital technologies, the developing cities’ urbanisation is still getting manifested in the form of over-crowding, congestion, and inadequate infrastructure. Pollution, population, drinking water, sanitation, energy, mobility and transport, solid waste management, environmental degradation and many more such infrastructural issues still remain unaddressed. This following paper will present the current situation of the country’s infrastructure at both urban and rural level, and the urgent necessity of an advanced and smart infrastructure in carrying out our per diem activities. A secondary case study will help us understand and analyse our infrastructural issues at a much comprehensive level. The paper will conclude on our projection established on the alternatives provided by the government, private and individual institutions. Apart from better assembly and integration of components to manage continuous change in demand and supply; leadership, finance, policy support, up gradation and citizen engagement are also few essential factors which determine urban infrastructure change.

Wednesday, December 30, 2015

National Conference on Technological Advancement Automatization in Engineering (NCTAA 2016) IJSRD


Atharva College of Engineering, Mumbai
Presents 

NCTAA 2016

(National Conference on Technological Advancement & Automatization in Engineering)

in association with

IJSRD – International Journal for Scientific Research & Development


Atharva College of Engineering,Mumbai affiliated to Mumbai University, is organizing 2-days event named “National Conference on Technological Advancement & Automatization in Engineering”on 28-29th January 2016 in association with IJSRD. 

The main objective of NCTAA is to present the research from different areas of science and technology. This conference provides a platform for researchers and scientists across the nation to exchange and share their research results about all aspects of electrical, electronics, computer science and information technology. This conference also provides an opportunity to interact and establish professional relations for future collaboration.

  • Best papers will also be nominated for prizes
For more information about conference please visit conference website

                                                                    Organized by
Atharva College of Engineering,
Charkop Naka, Malad - Marve Rd,
AsmitaJyoti Housing Society
Malad(W), Mumbai - 400095


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

Sunday, September 20, 2015

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

Saturday, September 5, 2015

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


 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

Tuesday, September 1, 2015

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

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


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





Tuesday, August 4, 2015

special issue for 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.


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.

Tuesday, July 21, 2015

#IJSRD JOURNAL

Every great idea comes from a dream and all our dreams can come true, if we have the courage to pursue them. This goes for everything in life, including start-ups and business ideas. They all start the same way but only some make it to the top. 
These posters by Anna Vital on Scuttlebutt will tell you what it takes to be on the top.

#IJSRD

Friday, October 17, 2014

#IJSRD | Wireless Phone Charger: the uniqueness and the features

Wowhoo Wireless Phone Charger: the uniqueness and the features
blog#IJSRD | Research Lets Do it… #call for paper
Major wireless phone carriers have all been adapting the Qi wireless technology. Additionally many car manufactures are adding them to their 2014-2015 models. Manufactures include but are not limited to the following: Jeep, Toyota, Prius Harrier, Mercedes Benz, BMW, Volkswagen, Audi aswell as Porsche.
Due to the new and improved design and usability our initial launch date has been revised from Jan 7th to March 1st. we added approximately 8mm to our diameter to allow a better internal design.  The small revision to the Wowhoo charger allow us to get that quicker charge which is most important. The 10% is a big jump in charging speed.
for more details click here

Friday, August 15, 2014

#IJSRD advanced persistent threat (APT)


Advanced Persistent Threats (APTs) are a cybercrime category directed at business and political targets. APTs require a high degree of stealithiness over a prolonged duration of operation in order to be successful. The attack objectives therefore typically extend beyond immediate financial gain, and compromised systems continue to be of service even after key systems have been breached and initial goals reached.
Useful website for Engineering (Diploma,BCA,MCA,B.E/M.E/Ph.D) Students....
kindly share to all engineers...
Visit us on www.ijsrd.com

#IJSRD MOBILE PROTECTION VICTIMISATION VOICE VERIFICATION


Cellular communication business has developed leaps and bounds to become the core of day to day science. Mobile phones is that the spirit of cellular business. the quantity of mobile phones users is rising exponentially. however the privacy of user and security of mobile phones leftovers a difficult question. Theft of mobile phones has become the attention catching business for offender. There ought to be a reliable methodology of protective the instrument from thief. My paper proposes a brand new innovative, reliable, trick proof precautions for mobile phones victimization VOICE VERIFICATION. Voice verification is that the identification of a personal identity victimization speech because the spotting quality. The voice of the user is processed employing a digital gesture processor that is that the prime a part of a mobile. we have a tendency to are programming this DSP to implement this safety technique. For most a resourceful voice record of the user is formed. This record is hold on within the Flash read-only storage that is out there within the mobile. Then whenever the user speaks through the mobile phones a part of the speech sample is taken and hold on. This processed voice of the user is compared with the first folder to examine the identity of the user. If the user is allowed, he’s allowed to continue his speak. If not the transmission is cut unexpectedly by creating the DSP in inactive state. Therefore the mobile is being shielded from any extralegal user. Not with standing the mobile phones was purloined or lost it won’t be helpful for the other individual. The programmability of DSP and generality of Voice based mostly classification has given our methodology a twin advantage. Our set up demands neither external hardware nor additional price. The on top of methodology cause no hardship for the user not like this safety systems. This methodology may be adopted universally altogether models of Mobile phones and mobile phones for cover.
Useful website for Engineering (Diploma,BCA,MCA,B.E/M.E/Ph.D) Students….
kindly share to all engineers…
Visit us on www.ijsrd.com