Mitigation of co-channel interferences in cognitive multi-carrier code division multiple access system by singular value decomposition techniques

Nelson, I.; Annadurai, C.; Kalidoss, R.; Partibane, Bactavatchalame

doi:10.1007/s10586-017-0997-y

Cited by 14 publications

(12 citation statements)

References 18 publications

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“…Next generation networks performances are analyzed in terms of data rate, signal-to-noise ratio, and bit error rate. [20][21][22][23][24][25] The most popular ensemble technique is AdaBoost and can improve the prediction precision in order to generate a number of classifiers, thus building the best classifier. The algorithm's advantage is that less input features are required and much prior knowledge is not required about weak learner.…”

Section: Adaboost Classifiermentioning

confidence: 99%

A dynamic wrapper‐based feature selection for improved precision in content‐based image retrieval

Sankar

Maheswari

2019

Concurrency and Computation

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The content-based image retrieval (CBIR) has been applied in the image processing as well as pattern recognition. A challenging task in the CBIR research has been through the feature extraction for decreasing any semantic gap that is an active research topic. Here, in this work, there is a texture feature that is extracted from an image, making use of a technique of curvelet transform. This curvelet is selected for a sparse representation that is quite critical for the estimation of images, which have been de-noised with some inversed problems. The wrapping-based curvelet transform will be even more robust as well as faster in the time of computation than the Ridge Transform. A technique of feature selection will be brought for selecting the optimal features. The correlation-based feature selection (CFS) method has been adapted for improving the accuracy of the CBIR systems. The non-deterministic polynomial (NP)-hard problems may be solved using the chemical reaction optimization (CRO) that has been motivated using the technique of chemical reaction. The benefits of proposed method is a necessity for marginal human intrusion for the purpose of retrieving the images needed from its database. The proposed mechanism has been again assessed depending on the Coral Database, and a performance study is ended using precision, f measure, and recall.

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Section: Adaboost Classifiermentioning

confidence: 99%

A dynamic wrapper‐based feature selection for improved precision in content‐based image retrieval

Sankar

Maheswari

2019

Concurrency and Computation

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“…Regarding importance of this topic, this article deals with approaches conducted in service level agreement and its comparison regarding improved parameters, simulation or implementation environment, workload and application. In [8][9][10][11][12][13][14][15][16][17], various performance enhancement techniques are discussed.…”

Section: Related Workmentioning

confidence: 99%

Analytic Hierarchy Process for ResourceAllocation in Cloud Environment

Revathy¹,

Sekar

2018

JCSM

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Resource management is the primary issue as the demand grows for provisioning resources and computation in cloud systems. When the resource management fails to meet the QoS parameter (response time) requirements, there occurs the due-date assignment problem leading to "resource allocation problem". This can be optimized by various scheduling algorithms. In this paper analytic hierarchy process is discussed for resource sharing. The results demonstrates that this approach reduces the execution time of algorithm and effectively handles vertical elasticity by adding resources in cloud server. Moreover, the experimental results shows that proposed method can effectively allocates the resources than any other algorithms. Finally, this algorithm is also focused on how efficiency is effectively handled in cloud computing environment while allocating resources since efficiency based resource allocation scheme has been taken into account.

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“…The calculation to find the final score is given as sum of products of PV of each criteria against each node. [5][6][7][8][9] Node…”

Section: Step3mentioning

confidence: 99%

Low power device coordination in internet of things environment using analytic hierarchy process model

Rajesh¹,

Annadurai²,

Nirmaladevi³

2018

Concurrency and Computation

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Internet of things (IoT) is a network technology can connect various physical devices into internet; it will improve the process technology and reduce human efforts. IEEE 802.15.4 specified that IPV6 low power wireless personal area networks (6LoWPAN) was the potential candidate for realizing IoT in real-time scenario. To coordinate the large amount of data exchange between the nodes, centralized entity is the option for conventional approaches. To improve the resource utilization, analytic hierarchy process is discussed in this article. Proposed AHP algorithm was tested with various scenarios in the network. In all the cases, AHP provides optimum resource utilization.

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Mitigation of co-channel interferences in cognitive multi-carrier code division multiple access system by singular value decomposition techniques

Cited by 14 publications

References 18 publications

A dynamic wrapper‐based feature selection for improved precision in content‐based image retrieval

A dynamic wrapper‐based feature selection for improved precision in content‐based image retrieval

Analytic Hierarchy Process for ResourceAllocation in Cloud Environment

Low power device coordination in internet of things environment using analytic hierarchy process model

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