IJSRD : Engineering Science and Technology | Call for Paper

IJSRD Journal | Leading e-journal 

Call For Paper | IJSRD Journal

Volume - 5 - Issue - 9 November 2017

ISSN (Online)  : 2321-0613

Subject Category : Engineering Science and Technology

Frequency            : Monthly, 12 issues per year

Impact Factor       : 4.396

IC Value               : 64.81

Submit Your Article : http://ijsrd.com/SubmitManuscript

5th NATIONAL CONFERENCE on Computational and Mathematical Sciences @VIT Jaipur : IJSRD

5th NATIONAL CONFERENCE

on Computational and Mathematical Sciences

(March 18th & 19th, 2016)

in association with International Journal for Scientific Research & Development (IJSRD)

ABOUT THE CONFERENCE

The Conference proposes to bring together experts, researchers, faculties, students and the leaders of industries for sharing their knowledge and expertise in the field related to Computer and Mathematical Sciences.

We have successfully organized four National Conferences named “COMPUTATIA” since 2011. Following that this year also we are organizing COMPUTATIA-V “Two Days National Conference on Computational and Mathematical Sciences” on March 18th-19th, 2016.

PUBLICATION

Authors are requested to submit their abstracts in MS WORD file format at email-id: computatia.2012@gmail.com orcomputatia@vitej.ac.in on or before 9th March, 2016.

The Selected Papers will be published in IJSRD (International Journal for Scientific Research and Development) having ISSN (online): 2321-0613 and Impact Factor: 2.39

BROCHURE

Click to Download Registration Form

Improved QoS in Ad-Hoc On-Demand Routing Protocol For MANETS

Improved QoS in Ad-Hoc On-Demand Routing Protocol For MANETS

Author(s):

Nima Manoharan , RAJIV GANDHI INSTITUTE OF TECHNOLOGY ,KOTTAYAM; Cibile K.Kanjirathumnkal, GOVT. FNGINEERING COLLEGE, KANNUR

Keywords:

MANET, AODV, QoS Improvement, Adaptive Hello Messaging, Traffic Aware Route Discovery, Local Link Failure Recovery

Abstract

Mobile ad-hoc Networks (MANETS) is a collection of wireless nodes without any infrastructure support. Quality of service (QoS) provisioning in MANETs is very important in order to support real-time communications such as audio and video. But, provisioning of QoS over wireless networks is far more challenging than for wired networks because of variability of wireless links, node mobility, and lack of central coordination authority for QoS. Ad-hoc on demand distance Vector (AODV) algorithm is a quick and efficient routing protocol designed for MANETS. The major drawback of AODV is the shortage of the quality of service (QoS) provisions. This paper proposes modifications to AODV protocol to improve the quality of service by combining three different routing approaches namely adaptive hello messaging, traffic aware route discovery and local link failure recovery. The modified protocol provides better QoS than the conventional AODV protocol.

Other Details

Full Article link: http://ijsrd.com/Sp_Article.php?manuscript=SPCN013

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A Metamaterial based Microstrip Patch Antenna with Improved Directionality

A Metamaterial based Microstrip Patch Antenna with Improved Directionality

Author(s):

Nitin Kumar , Dehradun Institute of Technology (DIT University); Anumeha Badoni, Dehradun Institute of Technology (DIT University); Pravesh Belwal, Dehradun Institute of Technology (DIT University); Ranjita Singh, Dehradun Institute of Technology (DIT University); Sandeep Sharma, Dehradun Institute of Technology (DIT University)

Keywords:
HFSS, Patch Antenna, Metamaterial, Reduced Beam-Width

Abstact:
This paper focuses on improving the directive properties of a conventional patch antenna by using a known technique of applying metamaterial slab as a cover. The metamaterial under consideration is a modification of Pendry's SRR structure and is equivalent to two SRRs connected back to back. The unit cells were arranged in an array configuration, investigation of S- parameters was done for checking the Negative index property. As expected with the use of metamaterial as a cover, directionality of conventional patch antenna improved significantly and the 3 dB beam-width reduced. A conventional patch antenna generally shows 3 dB beam-width of ~80deg while the antenna presented in this paper with the metamaterial shows improved 3dB beam-width of 45 deg.

Fever Detection: Application on Thermal Imaging

International Journal For Scientific Research & Development :: IJSRD

National Conference on ICT : IJSRD

“NATIONAL CONFERENCE ON ICT”

Transforming ICT to IoT

In association with

IJSRD– International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named “National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things).

Click here to download information brochure

Organised by

SAL Institute of Technology & Engineering Research Opp, Science city, Sola Bhadaj Road, Ahmedabad, Gujarat 380060 Website : www.sal.edu.in

Publication Partner

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

IJSRD: International Journal for Scientific Research and Development

IJSRD : Impact Factor 2.39 , Call For Paper

IJSRD: International Journal for Scientific Research and Development

Benefits of Authors
	IJSRD is an Open-Access peer reviewed International Journal Exhaustive list of executive board members who were invited from all the Colleges , Universities and research organization Research scholar can download any article from the website for free of cost Research scholar can submit the manuscript online Research scholar can check the status of paper online. Simple steps for publication of research articles and review articles Authors can refer the statistics for each article downloaded. IJSRD is Open access journal for high indexing and promotion of your published papers IJSRD promotes "Go Green" by providing e-publication of research paper Share free Knowledge and promote "Research"

NCIL - 2015 - Coneference : 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/

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)

Publication Partner

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

Special Issue For Data Mining

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..?

---

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)

For Submit article in special issue Click Here...

IIT #Techfest International Student #Conference #IJSRD

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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#IJSRD Digital Watermarking Methods in Spatial Domain and Transform Domain

#IJSRD

Digital Watermarking Methods in  Spatial Domain and Transform Domain

Abstract--- The ease of digital media modification and dissemination necessitates content protection beyond encryption. Information hidden as digital watermarks in multimedia i.e. text, image, video, audio enables protection mechanism in decrypted contents. In a way that protects from attacks several common image processing techniques are used in Spatial Domain and Transform Domain. In Spatial Domain Least Significant Bit(LSB) is used and in Transform domain Discrete Cosine Transform(DCT) & Discrete Wavelet Transform(DWT) are used. Among these DWT is best method due because of using embedded zero tree wavelet image compression scheme and high frequency sub bands.  

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