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198 articles for “real set”
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Research ArticleOpen accessIn the abstractPrediction on Land Market Value Based on the Real Estate Market in USALei WangThe Land Market Value, defined as the total value of land price and quantity data are derived from data on housing values, is an important factor in the estimation of structure costs using price indexes for housing and construction costs. In this study, we gather and analyze 34 years' national data on past and present real estate transaction. According to … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 23 May 2017 · 7,555 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Mean Estimation using Stratified Double Median Ranked Set SamplingMahmoud Ibrahim Syam, Amer Ibrahim Al-Omari, Kamarulzaman IbrahimStratified Double Median Ranked Set Sampling (SDMRSS) method is suggested for estimating the population mean. The SDMRSS is compared with the Simple Random Sampling (SRS), Stratified Simple Random Sampling (SSRS) and Stratified Ranked Set Sampling (SRSS) methods. It is shown that SDMRSS estimator is an unbiased of the population mean and is more efficient than the SRS, SSRS and SRSS … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelative Transcription Expression Level of SIRT1, SIRT2 and SIRT3 in Correlation to the Expression of a Set of Selected Cancer Related Genes in Human Breast CancerHamdy Swelim, Omnia Mansour, Salah Abdel-Rahman et al.Mammalian Sirtuins have been shown to perform distinct cellular functions and deregulated expression of these genes was reported to be involved in the development of various malignancies including breast cancer. An increasing number of evidence indicates that Sirtuins have both tumor promoter and tumor suppressor functions. However, the roles of Sirtuins have not been well-studied in breast cancer. In the … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 18 Jan 2018 · 7,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadiosensitivity Assessment and the Impact of Gamma Radiation on the Growth and Diversity of Pennisetum purpureum Cv Mot in Marginal LandBela Putra, Budi PrasetyaThis study aims to assess the radiosensitivity of Pennisetum purpureum cv Mott, with the primary objectives of determining the LD50 value, evaluating the effects of gamma radiation doses on plant growth and diversity, and elucidating the specific goals of irradiation in relation to the overall research. The research encompasses a wide range of radiation doses, ranging from 0-400 Gy, including … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 1 · 20 Dec 2023 · 5,641 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Preemptive Global Utility Accrual Real Time Scheduling Algorithms in Multicore EnvironmentIdawaty Ahmad, Mohamed Othman, Zuriati Ahmad ZulkarnainThis paper proposed an efficient real time scheduling algorithm using global scheduling paradigm running in multicore environment known as Global Preemptive Utility Accrual Scheduling (GPUAS) algorithm. The existing TUF/UA multiprocessor scheduling algorithms known as Greedy-Global Utility Accrual (G-GUA) and Non Greedy-Global Utility Accrual (NG-GUA) algorithms is seen to overlook the efficiency on its task scheduling algorithm. These algorithms have adapted … …Journal of Computer Science, Vol. 11, Issue 12 · 11 Feb 2016 · 6,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Complex Probability Paradigm and Analytic Linear Prognostic for Vehicle Suspension SystemsAbdo Abou JaoudeThe Andrey N. Kolmogorov's system of axioms can be extended to encompass the imaginary set of numbers and this by adding to his original five axioms an additional three axioms. Hence, any experiment can thus be executed in what is now the complex set C which is the sum of the real set R with its corresponding real probability and … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 22 Apr 2015 · 7,474 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractFREQUENT CORRELATED PERIODIC PATTERN MINING FOR LARGE VOLUME SET USING TIME SERIES DATAG. M. Karthik, S. KarthikFrequent pattern mining has been a widely used in the area of discovering association and correlations among real data sets. However, discovering interesting correlation relationship among huge number of co-occurrence patterns are complicated, a majority of them are superfluous or uninformative. Mining correlations among large pile of useless information is extraordinarily useful in real-time applications. In this study, we propose … …Journal of Computer Science, Vol. 10, Issue 10 · 30 Jun 2014 · 6,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONSTRAINT SOVLING ENGINE BASED NURSE ROSTERING WITH INTELLIGENT BACKTRACKINGS. Chitrakala, S. P. Surendernath, R. PriyatharshiniEfficient utilization of time and effort is essential in Personnel scheduling problems to evenly balance the workload among the people and attempt to satisfy the personnel preferences. In Constraint Satisfaction Problem based scheduling problems, when a branch of the search fails the backtracking search algorithm back up to the preceding variable and try a different value for it. So here … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractROBUST MEMORY MANAGEMENT USING REAL TIME CONCEPTSV. Karthikeyan, S. Ravi, M. AnandMemory fragmentation is the development of a large number of separate free areas. Memory management in embedded systems demand effective implementation schemes to avoid fragmentation problem. Existing dynamic memory allocation methods fail to suit real time system requirements. Execution times need to be deterministic and this motivates the need for allocation and deallocation to be done in constant time with … …Journal of Computer Science, Vol. 10, Issue 8 · 1 Apr 2014 · 7,488 accessesView PDFCite