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Non-Linear Spectral Unmixing Of Moon Mineralogy Mapper (M3 ) Data, Keshav Dev Singh, Ramakrishnan Desikan
Non-Linear Spectral Unmixing Of Moon Mineralogy Mapper (M3 ) Data, Keshav Dev Singh, Ramakrishnan Desikan
Innovative Research Publications IRP India
Most of the approaches to solve the unmixing problem are based on the Linear Mixing Model (LMM) which is questionable. Therefore, nonlinear spectral model is generally used to study the effects of multiple scattering in the complex surfaces. In this paper, we have demonstrated the application of Radiative Transform Equation (RTE) based Hapke multi scattering model. The Hapke model based non-linear spectral unmixing is carried out on a Moon Mineralogy Mapper (M3 ) data. The values of six non-linear Hapke's model parameters are estimated using a MATLAB based algorithm after optimizing the Hapke corrected M3-Endmembers and modeled spectra through minimum …
An Effectual Breakthrough For Concord Relentless Itemset Exhuming Based On Map Reduce, Ahilandeeswari G.,, Dr. R. Manicka Chezian
An Effectual Breakthrough For Concord Relentless Itemset Exhuming Based On Map Reduce, Ahilandeeswari G.,, Dr. R. Manicka Chezian
Innovative Research Publications IRP India
Relentless Itemset Exhuming (RIE) is a archetypal data Exhuming topic with many authentic world applications such as market basket analysis. In authentic world the dataset size grows, researchers have prophesied Map Reduce version of RIE contrivance to meet the immensely colossal data challenge. Subsisting relentless itemset contrivance cannot distribute data equipollent among all the nodes and MR Apriori contrivance paper utilize manifold map/reduce procedures and engender an inordinate extent of key-value pairs with value. In this paper present a novel collateral, distributed contrivance which addresses these quandaries. We prophesis an ameliorated collateral contrivance and discuss its applications in this paper. …
Design Of A Reading Recommendation Method Based On User Preference For Online Learning, Yanling Li,, S. C. Ng,, Felermino M. D. A. Ali
Design Of A Reading Recommendation Method Based On User Preference For Online Learning, Yanling Li,, S. C. Ng,, Felermino M. D. A. Ali
Innovative Research Publications IRP India
A design of reading recommendation method based on user preference for online learning namely, RMUP is proposed. The aim of this study is to design an online learning recommendation system to support automatic information extract, dynamic user preference analysis and conduct an accurate recommendation of reading materials to relevant users.
Moodle Data Retrieval For Educational Data Mining, Felermino M. D. A. Ali, S. C. Ng
Moodle Data Retrieval For Educational Data Mining, Felermino M. D. A. Ali, S. C. Ng
Innovative Research Publications IRP India
This study aims to incorporate a new service into existing Moodle Core Services for student's usage data retrieval. This service can ease the pre-processing in EDM and provide a generic mechanism for data portability. The proposed method expects to reduce the data pre-processing time and enhance the interoperability in Moodle.
An Energy Proficiency Positioned Dynamic Threshold Approach To The Migration Of Virtual Machines In Dvs Empowered Green Cloud Data Centers, C. Saranya.,, Dr. R. Manicka Chezian
An Energy Proficiency Positioned Dynamic Threshold Approach To The Migration Of Virtual Machines In Dvs Empowered Green Cloud Data Centers, C. Saranya.,, Dr. R. Manicka Chezian
Innovative Research Publications IRP India
The furthermost eco-amicable challenge nowadays is ecumenical warming. Energy disaster conveys green computing. Dynamic voltage scaling (DVS) has been a crucial procedure in exploiting the hardware characteristics of cloud datacenters to preserve energy by lowering the supply voltage and operating frequency. The study presents modified power consumption can be reduced by live migration of the virtual machines (VM) as required and by switching off idle machines. So, proposed a dynamic threshold predicated approach DMM CPU utilization for host at data center. This consolidation will work on dynamic and capricious workload evading nonessential power consumption. It will meet energy efficiency requisite …
Text Stream Mining Using Suffix Trees, Pamela Vinitha Eric,, Kusum Rajput,, Veda .N
Text Stream Mining Using Suffix Trees, Pamela Vinitha Eric,, Kusum Rajput,, Veda .N
Innovative Research Publications IRP India
Information explosion has resulted in the need for more advanced methods for managing the information. Text stream mining, is very important as people and organizations are trying to process and understand as much of information as possible. Generalised suffix tree is a data structure which is capable of solving a number of text stream mining tasks like detecting changes in the text stream, identifying reuse of text and detecting events by identifying when the frequencies of phrases change in a statistically significant way. An efficient method with polynomial time complexity that uses suffix trees to analyse streams of data in …
M-Learning System Based On Ontology, Dr Leelavathi Rajamanickam,, Chen Woon Choong
M-Learning System Based On Ontology, Dr Leelavathi Rajamanickam,, Chen Woon Choong
Innovative Research Publications IRP India
Information and communication Technology is a gateway through which large population of students has been addressed. Mobile learning technology the latest arrival highly changing the way the students learn, interact, access up to data information. It mainly satisfies the current and future generation which needs information at the earliest rather than later few touches. The World Wide Web acts as an interface in E- learning as well as in mobile learning (Mlearning) environments. It supports and facilitates the delivery of teaching and learning materials. M - l e a r n i n g provides quality educational content with the …
Relaxing Weighted Clustering Algorithm For Reduction Of Clusters And Cluster Head, Vijayanand Kumar
Relaxing Weighted Clustering Algorithm For Reduction Of Clusters And Cluster Head, Vijayanand Kumar
Innovative Research Publications IRP India
Adhoc clustering in MANET is to divide mobile nodes into different virtual groups. Mobile nodes are allocated geographically adjacent in the cluster. Clustering is done by some rule specific in the network. In this paper, we have concentrated to modify weight based clustering algorithm to improve the performance in this wireless technology. By slight improvement in existing weight based clustering algorithm [1] reduction in cluster as well as cluster head can be observed through experiment. Proposed Algorithm specifies relaxing the weight criteria for isolated cluster head nodes in range of other cluster head as well as reconsidering the nodes in …
Efficient Logarithmic Function Approximation, Amjad F. Hajjar, Mohammad H. Awedh
Efficient Logarithmic Function Approximation, Amjad F. Hajjar, Mohammad H. Awedh
Innovative Research Publications IRP India
A criteria is developed for the approximations of a logarithmic function to piecewise straight lines at multiple segments such that the maximum absolute error is minimized.The optimum cutting points for segmentation are estimated numerically with an exhaustive search. Our hardware implementation is restricted to integer operations (addition and shifting).
Alqrs: A Simple Architecture For Location Queries In Recommender Systems, Innovative Research Publications Irp India, B. Rupa Devi, M. Vedavathi
Alqrs: A Simple Architecture For Location Queries In Recommender Systems, Innovative Research Publications Irp India, B. Rupa Devi, M. Vedavathi
Innovative Research Publications IRP India
The ALQRS proposes a location-query system based on the keyword search that calculates for the nearest location. ALQRS evaluates user partitioning for user locations and travel penalty for item locations. ALQRS uses gap keeping approach for sorting, store the values of locations and it is a good space saving technique
Pitch Detection Of Speech Signal Using Wavelet Transform, Innovative Research Publications Irp India, Amin Shadravan Lalezari, Jalil Shirazi
Pitch Detection Of Speech Signal Using Wavelet Transform, Innovative Research Publications Irp India, Amin Shadravan Lalezari, Jalil Shirazi
Innovative Research Publications IRP India
Pitch frequency is the fundamental frequency of a speech signal. It is one of the most important parameters for speech signal processing. The simulated results on Keele pitch reference database show that the performance of the proposed wavelet transform based pitch detection algorithm is obviously better than the original AMDF and its improvements based algorithms
A Distinct Approach For Human Face Emotion Detection Using Pca-Bfo Method, Innovative Research Publications Irp India, Banupriya. N, Pushpalatha. M
A Distinct Approach For Human Face Emotion Detection Using Pca-Bfo Method, Innovative Research Publications Irp India, Banupriya. N, Pushpalatha. M
Innovative Research Publications IRP India
Research on emotion has increased significantly over the past two decades with many fields contributing includingpsychology,neuroscience,endocrinology,medicine, hi story, sociology, and even computer science. The numerous theories that attempt to explain the origin, neurobiology, experience, and function of emotions have only fostered more intense research on this topic. Current areas of research in the concept of emotion include the development of materials that stimulate and elicit emotion. Recent discoveries suggest that emotions are intricately linked to other functions such as attention, perception, memory, decision making, and learning. In the field of Human Computer Interaction, audio and visual information are considered to …