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181 articles for “statistical measure”
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Research ArticleOpen accessIn the abstractApplication of Unimodular Hill Cipher and RSA Methods to Text Encryption Algorithms Using PythonSamsul Arifin, Dwi Wijonarko, Suwarno, Edwin Kristanto SijabatText encryption is one of the techniques used to maintain the confidentiality of information in digital communications. In this study, we propose to apply a combination of the Unimodular Hill Cipher and RSA methods to a text encryption algorithm using the Python programming language. The Unimodular Hill Cipher method uses an unimodular matrix to replace text characters with encrypted characters, … …Journal of Computer Science, Vol. 20, Issue 5 · 1 Mar 2024 · 6,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of IP Video Streaming Software to Identify Availability and AudienceVitor Chaves de Oliveira, Sérgio Bimbi Junior, Andreiwid Sheffer Corrêa et al.The perpetual rise of the video on demand is currently one of the leading challenges the telecommunications industry faces. It per passes the eternal comparison with a service that continuously set’s the bar at a highly elevated consumer quality. And the user, advertiser and all stakeholders involved not only are used to it, but demand equal and/or similar value, i.e., … …Journal of Computer Science, Vol. 14, Issue 7 · 11 Jun 2018 · 8,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeolocation System Module Creation to Validate User Location Coordinates in an Android Application Using Flutter FrameworkElmer Matthew Japara, Samsul Arifin, Edy IrwansyahThe target audience for this scientific paper's writing is anyone who is interested in the statistical information that will be used to create a method for determining the separation between two coordinate points. Given that as technology advances, a growing number of applications will make use of geolocation data for economic purposes, such as processing location data to maximize product … …Journal of Computer Science, Vol. 19, Issue 8 · 9 Aug 2023 · 6,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphometric Differentiation of Indigenous Tswana Goat Populations in Botswana Using Canonical Discriminant AnalysisDitiro MaletsanakeIndigenous goats are renowned for their endurance and capacity to withstand extreme climatic conditions. To categorize indigenous animal genetic resources, morphometric measurements have been employed to analyze the properties of numerous farm animal populations and breeds. The purpose of this research was to use canonical discriminant analysis to categorize the diverse Tswana goat populations in Botswana based on their morphometric … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 26 Jul 2023 · 6,098 accessesView PDFCite
Review ArticleOpen accessIn the abstractStatistical Binarization Techniques for Document Image AnalysisSaad M. Ismail, Siti Norul Huda Sheikh Abdullah, Fariza FauziBinarization is an important process in image enhancement and analysis. Currently, numerous binarization techniques have been reported in the literature. These binarization methods produce binary images from color or gray-level images. This article highlights an extensive review on various binarization approaches which are also referred to as thresholding methods. These methods are grouped into seven categories according to the employed … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstruction and Application of a Statistical Test for Coefficient of Variation on Normal DistributionsSolly Matshonisa Seeletse, Gezani Richman MiyambuIn this study a novel statistical test is derived for the Coefficient of Variation (CV) under normal distributions. This is a newly derived test with value to engineering sciences in aspects of production of accurate items. The CV can measure the precision of a measuring instrument, among other applications. In order to determine instrument reliability, start by generating measures using … …American Journal of Applied Sciences, Vol. 14, Issue 11 · 11 Nov 2017 · 7,853 accessesView PDFCite
Research ArticleOpen accessIn the abstractInteraction Model in Statistical MechanicsFarida Kachapova, Ilias KachapovStatistical mechanics considers several models such as Ising model, Potts model, Heisenberg model etc. A rigorous mathematical approach based on the axiomatic foundation of probability would benefit the study and applications of these models. In this paper we use this approach to generalize some of these models into one construction named an interaction model. We introduce a mathematically rigorous definition … …Journal of Mathematics and Statistics, Vol. 13, Issue 4 · 4 Nov 2017 · 7,060 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Varietal Characteristics and Planting Schemes of Remontant Raspberries on their ProductivityLyazzat Zhailibayeva, Sergey Oleichenko, Yerlan Dutbayev et al.The red raspberry (Rubus idaeus L.) is a member of the Rosaceae family. The production of raspberries has increased rapidly worldwide. In recent years, about 300 ha of remontant raspberry varieties have been planted in the Almaty region, Kazakhstan. These varieties are technologically easier to grow compared to traditional varieties because they bear fruit on annual shoots and do not … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 29 Dec 2023 · 5,457 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndustrial Robot Fault Detection Based on Statistical Control ChartAlaa Abdulhady Jaber, Robert BickerIndustrial robots have long been used in production systems in order to improve productivity, quality and safety in automated manufacturing processes. There are significant implications for operator safety in the event of a robot malfunction or failure and an unforeseen robot stoppage due to different reasons has the potential to cause an interruption in the entire production line, resulting in … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 29 Feb 2016 · 8,579 accessesView PDFCite