Showing posts with label Journal for Scientific Research & Development. Show all posts
Showing posts with label Journal for Scientific Research & Development. Show all posts

Thursday, 19 November 2015

Fever Detection: Application on Thermal Imaging

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Monday, 21 September 2015

Loose Clustering based QoS Aware Routing Protocol for Power Heterogeneous MANETs #ijsrd


Author Name : Chozha Prabhu.R, Karthik.R

College Name : Karpagam University, Coimbatore, TamilNadu, India

Area of Research : Computer Engineering

Abstract---Power heterogeneity is common in mobile ad hoc networks (MANETs).With high-power nodes; MANETs can improve network scalability, connectivity, and broadcasting robustness. However, the throughput of power heterogeneous MANETs can be severely impacted by highpower nodes. To address this issue, we present a loosevirtual-clustering-based (LVC) routing protocol for power heterogeneous (LRPH) MANETs. To explore the advantages of high-power nodes, we develop an LVC algorithm to construct a hierarchical network and to eliminate unidirectional links to reduce the interference raised by high-power nodes; we develop routing algorithms to avoid packet forwarding via high-power nodes. Also introduce Quality based service and admission control technique for routing. Quality based service decrease the delay and energy failure. Admission control used to avoid packet loss. Providing quality of service (QoS) assurances in a mobile ad hoc network (MANET) is difficult due to node mobility, contention for channel access, a lack of centralized co-ordination, and the unreliable nature of the wireless channel. A QoS-aware routing (QAR) protocol and an admission control (AC) protocol are two of the most important components of a system attempting to provide QoS guarantees in the face of the above mentioned difficulties faced. 

Keywords: QoS-aware routing protocol, MANET, LRPH, and Admission control protocol.


For More About this Research Article visit http://www.ijsrd.com/Article.php?manuscript=IJSRDV2I2033

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Friday, 18 September 2015

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.
 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...

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Tuesday, 21 October 2014

#IJSRD & TechFest 2014-15 (IIT-Bombay) presents TISC(Conference)

IIT Bombay presents Asia’s Largest Science and Technology Festival. TISC(Conference) event is supported by IJSRD. For more details, please visit the following link
http://www.techfest.org/conference
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Tuesday, 7 October 2014

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.
main source: click here
For more information: Click here. . .
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Tuesday, 19 August 2014

#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.  

For More Details 
Click on Below Links :



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Friday, 15 August 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
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#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
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Wednesday, 13 August 2014

#IJSRD Cost effective and innovative housing technology


Shelter is amongst the three basic human needs but now-a-days, about two-third of the total Indian population does not have their own shelter. This two-third population belongs to the middle and lower income class. These people find it difficult to construct their houses at an affordable cost by using conventional construction technology. It is found in many cases that people serve their whole life constructing their own house, but fail. The mission and dream of these people can be achieved by appropriate use of cost effective and innovative construction technology. As a whole, the housing shortage of the country can be overcome within lesser FUNDS, without compromising with the quality control and structural stability of the structure.
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
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