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387 articles for “clustering”
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A Study on Energy Efficient Coverage Aware Clustering Protocols in Wireless Sensor Networks
Abstract: In this study, energy efficient coverage aware clustering protocols for wireless sensor networks (WSNs) have been investigated by describing various clustering and coverage related issues. The coverage is more closely related to Quality of Service (QoS) coverage problem in WSNs. The term energy efficient coverage aware can be defined as the network lifetime including features like coverage lifetime and energy consumed by sensor nodes. Also, this study analyses the energy …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 9–17 Read article
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An Overview on Time Series Data Clustering
Abstract: This paper gives an overview on time series clustering, which is an important topic now days. Time series data is has importance because of its applications, such as financial data processing like Stock Exchange, network monitoring, web click-stream analysis, sensor data mining, marketing research, and anomaly detection. Therefore in the data mining clustering such data is an important issue. Time series data are a special type of data set and …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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A Novel Sentence Ranking Clustering Based Algorithm for Text Summarization
Abstract: Text Summarization is the process of generating reduced text from source document by extraction or generation. A novel approach will be presented for extractive text summarization. The proposed technique performs filtering and then ranking on sentences based on NLP text mining techniques. This method uses the synonyms extracted from online thesaurus dictionary to identify similar sentences and then clusters these sentences to summarize. The sentences are ranked based on sentence …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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Database Intrusion Detection Using Genetic Support Vector Fuzzy Clustering Learning Model
Abstract: AbstractThe rapid development of computer networks and increasing dependency of almost all companies and government agencies on Internet and cloud computing lead to the problem of stability and security like intrusions in several forms which can cause huge loss to these organizations. During recent years, disaster in data due to intrusions has dramatically increased. The hindrance of such intrusions is entirely dependent on their detection part which can be possible …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 32–40 Read article
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A Novel Approach of Image Restoration Based on Segmentation and Fuzzy Clustering
Abstract: Image restoration is the process of restoring or deblurring an image which had been undergone certain degradations. In this paper, we proposed a method for image restoration based on segmentation and fuzzy clustering. This method consider the similar image pair in which there is a clear part in one image corresponding to degraded one in another. This proposed method firstly partition the image into specified segments and then use fuzzy …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 1–6 Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 4, 2022 · pp. 11–18 Read article
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The Effect of Methanol on 512 Methane Hydrate Cage Cluster ¬– A Molecular Dynamics Study
Abstract: Molecular dynamic simulation study of methane hydrate cluster having 27 methane encapsulated pentagonal dodecahedron (512) hydrate cage with and without presence of eight methanol molecules in supercell has been performed to evalute the effect of methanol on the stability and formation of methane hydrate cluster. Methanol is found to act as an effective methane hydrate inhibitor below 30 atm pressure for 240 K and below 90 atm pressure for 250 …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 16–24 Read article
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Study on High Rise (G+32) Cluster Shaped Building Under Earthquake with the help of IS 1893, UBC-97 and ASCE 7-10 codal provisions
Abstract: Modern high-rises, in low seismicity areas, are designed to withstand lateral loads.While high rise buildings would suffer structural damage, the shaking produced by the earthquake is a long period of slow shaking.The stability and stiffness of any structure is the major issue of concern in any high-rise buildings.This research is related to comparison of high rise G+32 cluster shape building under Seismic area with the help of different country codes …
Published in Recent Trends in Civil Engineering & Technology · Vol. 10, Issue 3, 2020 · pp. 24–33 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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Entropy of Network Analysis and Cluster Detection Using Markov Theory
Abstract: Networks square measure an important part of nature and society; nonetheless several aspects of networks operate square measure still mostly unknown. from understanding the networks play a task; however even a small number of the foremost basic questions about networks will be troublesome to answer. Nevertheless, square measure two networks alike or different? However, do networks within networks type and the way will clusters be detected? As networks have amendment …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 1–4 Read article
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Effectiveness of an Intervention on Nurse’s and Caregiver’s Knowledge and Practices Regarding Chemotherapy Induced Neutropenic Complications: A Cluster Randomized Controlled Trial
Abstract: Abstract Objective: To assess the effectiveness of an intervention on knowledge and practices of nurses and caregivers regarding chemotherapy induced neutropenic complications. Methods: A total of 51 nurses and 105 patients and their caregivers were enrolled in the study using cluster randomization. 27 nurses and 51 patient’s and their caregiver’s were enrolled in control group from radiotherapy department and 24 nurses and 54 each patients and their caregivers were enrolled …
Published in Research and Reviews : A Journal of Immunology · Vol. 10, Issue 2, 2020 · pp. 18–24 Read article
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A Detailed Survey on Crime Detecting and Clustering Technique in Data Mining
Abstract: AbstractData mining is the extraction of useful information or the knowledge from the set of data or it’s the process analyzing the data from the various perspectives and summarizing into information which is useful. Detection of crime begins with discovery of crime scene, and proceeds from side to side the process of evidence collected works, identification and the analysis. It is called as an act that is being committed or …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 19–26 Read article
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Comparative Analysis of Proposed FCM Clustering Integrated Enhanced Firefly-Optimized Algorithm (En-FAOFCM) for MR Image Segmentation and Performance Evaluation
Abstract: Image segmentation has a significant responsibility in diagnosis and treatment of diseases. To scan patients and determine the severity of certain injuries in hospitals, magnetic resonance imaging (MRI) method is normally used. This paper emphasizes on comparative study of segmentation techniques for segmenting MRI brain images. In this regard, to group the pixels of images in the intensity space, unsupervised clustering techniques are used. Here enhanced firefly algorithm is used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 32–44 Read article
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Improvement in Cluster based Routing Leach Protocol in WSN
Abstract: Wireless sensor networks contain multiple nodes which are small in nature which are called sensor nodes. They communicate among themselves via wireless strategy. There is various protocol have been proposed earlier like Hierarchical Protocols LEACH, HEED, PEGASIS TEEN, APTEEN, Mobility-based Protocols SEAD, TTDD, Joint Mobility and Routing, , Dynamic Proxy Tree-Base Data Dissemination Multipath-based Protocols, Data MULES, Location-based Protocols etc. For performing routing in sensor networks effectively, generally, we use …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 2, 2018 · pp. 5–9 Read article
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Resolving Travelling Salesman Problem Using Modified Clustering Technique
Abstract: AbstractTravelling Salesman Problem (TSP) is a quotidian stumbling block in the field of Computer Science and operation research designed to seek out the shortest pathway amid the given targets viz. cities where each target is considered only once. Many solutions to this setback like Ant Colony Optimization. Brute-Force approach, Genetic Algorithm, Fruit Fly Optimization etc. are available in literature. The main objective of these solutions is to minimize the time …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 22–31 Read article
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Effect of Seaweed Extracts Mediated Changes on the Germination and Pigment Concentration of Cluster Bean (var. Pusa naubahar)
Abstract: ABSTRACTThe effect of crude extract from the brown seaweed Sargassum wightii and Ulva lactuca on the seed germination, growth and pigments feature of the legume plant cluster bean was studied. The findings of the present study reveal the seed germination, morphological parameter and pigment analysis. These results suggest that seaweed extracts induce stronger seed germination and growth parameters.Keywords: Seaweed extracts, cluster bean, seed germination
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 1, Issue 2, 2012 · pp. 9–12 Read article
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Scheduling in Hadoop Cluster: A Review
Abstract: AbstractData generated by almost everything is electronically stored in the units of exabyte or zetabyte known as big data. For big data processing, Hadoop is considered as best choice. There are lots of challenges like storage, processing and resource allocation on the basis of job deadlines, QoS, budget, network bandwidth and data transmission. In order to solve these problems, various scheduling algorithms have been developed. These scheduling algorithms are classified …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 26–31 Read article
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Morphological Clustering of Diagnostic Images by Advanced Hard C Means
Abstract: In the proposed approach, morphology technique is used to find the area affected in the diagnostic image and extract the same using adaptive threshold technique. To get more accurate segmentation, Hars C means algorithm is used.Here in this project compare and analyze the qualitative and quantitative performance of different operators. Adaptive canny operator have better performance than sobel and Roberts operator. By using the proposed method can improve PSNR, Noise …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 25–33 Read article
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A New Variant of Bat Algorithm and Clustering Approach for Optimization Problems
Abstract: AbstractThis paper proposes a new variant of bat algorithm for optimization problems for solving global and continuous optimization problems to expand the weakness of BAT. The planned algorithm uses the genetic bat tactics for improving the search and to overcome the deficiency, directional echolocation is introduced to the standard bat algorithm to enhance its exploration and exploitation capabilities. The outcomes are taken on six benchmark optimization problems. From upshots, it …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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Performance Analysis of Segmentation using Thresholding Technique and K-means Clustering Techniques in Mammograms
Abstract: The main objective of the study is the attainment of proper segmentations of mammographic images which are taken from Mammographic Image Analysis Society (MIAS) digital mammogram database. In this study normal breast images and breast image with masses used as the standard input to the proposed system are taken from Mammographic Image Analysis Society (MIAS) digital mammogram database so as to be used in tasks such as to find micro …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 · pp. 115–121 Read article