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56 results for “Log data”
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Research ArticleOpen accessIn the abstractAnomaly Detection Algorithms for Streaming Data: Performance ComparisonZirije HasaniToday’s most of the data are streaming time-series data, where is very important anomaly detection over this data because gives significant information of possible critical situations. Detecting anomalies in big streaming data is yet difficult task because we have to process them in real time, even before they are stored and instantly alarm on potential threats. For real time streaming … …Journal of Computer Science, Vol. 16, Issue 7 · 18 Jul 2020 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractLog-Moment Estimators for the Generalized Linnik and Mittag-Leffler Distributions with Applications to Financial ModelingDexter O. Cahoy, Wojbor A. WoyczyńskiWe propose formal estimation procedures for the parameters of the generalized, heavy-tailed three-parameter Linnik gL(α, µ, δ) and Mittag-Leffler gML(α, µ, δ) distributions. The paper also aims to provide guidance about the different inference procedures for the different two-parameter Linnik and Mittag-Leffler distributions in the current literature. The estimators are derived from the moments of the log-transformed random variables and … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 1 Aug 2018 · 7,355 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Packet Scheduling Algorithm in LTE NetworkAlaa Omer Najim, Nor Asilah Wati Abdul Hamid, Zurina Mohd Hanapi, Idawaty AhmadAt present, Long-Term Evolution (LTE) is the most popular Internet access technology because of its robust wireless connectivity that can support data, voice, video and messaging traffic. This advantage has significantly increased the number of users availing themselves of these services through various devices. Such an increase in the number of users has also increased network traffic. Thus, scheduling algorithms … …Journal of Computer Science, Vol. 13, Issue 12 · 20 Dec 2017 · 7,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation and Comparison of the Quantitative and Qualitative Frequency Distribution of the RiversVijay P. Singh, Mohsen Ghane, Kaveh Ostad-Ali-Askari et al.The entrance of pollutants from human activities to the surface water has seriously threatened the quality of water. TDS is an important qualitative parameter of water that describes the water salinity by measuring the concentration of total dissolved solids. First, using TDS and discharge data of the Cuyahoga River, Ohio, the partial and annual data sets were obtained. Then, partial … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 4 · 16 Oct 2017 · 8,487 accessesView PDFCite
Research ArticleOpen accessIn the abstractPlane Versus Elastic Wave AVO Anisotropic Synthetic Modeling in Derby Field, Southeastern Niger DeltaChukwuemeka Ngozi Ehirim, Nnamdi Ogbonna ChikezieAVO based Zoeppritz’s plane wave and elastic spherical wave anisotropic synthetic modelling have been investigated in Derby field, Southeastern Niger delta. The objective of the study is to investigate the influence of anisotropy on plane and elastic wave AVO synthetics modeling over shale-gas sand horizons in the field. Well log data was check shot corrected and correlated with pre-stack data … …Current Research in Geoscience, Vol. 7, Issue 1 · 6 May 2017 · 7,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrations of Seismic Data, Petro-physical Evaluation and Reserve Estimation in Fimkassar Oil Field of Eastern Potwar, PakistanMuhammad Ishfaque, Hafeez Ur Rehman, Bilal Khalid et al.In upper Indus basin Potwar plateau is a successful exploration area for hydrocarbon. The study area is consisting of Fimkassar oil field and research data is obtained from Land Mark Resources with the special permission of Director General of Petroleum Concession Ministry of petroleum and natural resources Islamabad. The study area consists of well#1 and #2 and seismic lines 97-CP-07, … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 13 Apr 2017 · 8,092 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparison between Different Data Mining Algorithms in Freight Mode ChoiceAmir Samimi, Hesamoddin Razi-Ardakani, Amir NohekhanThis research aims to study application of support vector machine algorithm, artificial neural networks and five different types of decision trees in predicting mode choice of freight transportation. Performance of these models has been compared with log it model which is one the most prevalent statistical models in the field. Effect of factors such as cargo weight, distance, type and … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 5 Feb 2017 · 7,623 accessesView PDFCite
Research ArticleOpen accessIn the abstractOdds Exponential Log Logistic Distribution: Properties and EstimationRosaiah Kanaparthi, Gadde Srinivasa Rao, Kruthiventi Kalyani, Devireddy Charana Udaya SivakumarWe propose a distribution called Odds Exponential Log Logistic Distribution (OELLD), which is an odds family of distribution. Its hazard rate is an increasing and decreasing function based on the value of the parameter. Explicit expressions for the ordinary moments, L-moments, quantile, generating functions, Bonferroni Curve, Lorenz Curve, Gini's index and order statistics are derived. The parameters of the proposed … …Journal of Mathematics and Statistics, Vol. 13, Issue 1 · 25 Jan 2017 · 7,422 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Health Informatics for Caring for Children in Occupational Therapy Service CommunitiesKewalin Panyo, Supawadee Putthinoi, Suchitporn LersilpHealth Informatics (HI) is an integration of health information and technology to be improving levels of efficiency in Occupational Therapy (OT) care managers in the community. The purpose of this study was to develop HI in the community for care managers caring for children from birth to 6 years old. Fifteen participants were occupational therapists, who worked as care managers … …Journal of Computer Science, Vol. 14, Issue 7 · 30 Jul 2018 · 8,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractPoisson-Gamma Latent Dirichlet Allocation Model for Topics with Word DependenciesIbrahim Bakari Bala, Mohd Zainuri SaringatThis paper introduces the Poisson-Gamma Latent Dirichlet Allocation (PGLDA) model for modeling word dependencies in topics modeling. The Poisson document length distribution has been used extensively in the past for modeling topics with the expectation that its effect will fizzle out at the end of the model definition. This procedure often leads to downplaying the effect of word correlation with … …Journal of Computer Science, Vol. 16, Issue 12 · 3 Dec 2020 · 6,875 accessesView PDFCite