Relevant bibliographies by topics / Boxplot analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Boxplot analysis'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Boxplot analysis"

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González-de-la-Rosa, Juan-José, Olivia Florencias-Oliveros, and Paula Remigio-Carmona. "Strategy for Visual Measurement of Power Quality Based on Higher-Order Statistics and Exploratory Big Data Analysis." Applied Sciences 15, no. 12 (2025): 6422. https://doi.org/10.3390/app15126422.

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This article proposes a strategy for the visual characterization of power quality in big data analysis contexts, culminating in the development of a visualization tool based on higher-order statistics, which exhibits an efficiency between 83.33% and 100% in detecting 50 Hz synthetic and real-life simple and hybrid events, showing its significant potential for real-world applications marked by non-linear loads and non-Gaussian behaviors and surpassing the detection of traditional tools such as boxplot by up to 50%. Efficient energy management is closely accompanied by an optimum energy data man
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Ahmad Sabri, Noor Aida Syakira, Nik Fasha Edora Nik Kamaruzaman, Nurlaila Ismail, et al. "Statistical analysis for chemical compound based on several species of aquilaria essential oil." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 4 (2024): 3663. http://dx.doi.org/10.11591/ijece.v14i4.pp3663-3673.

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The paper examines the characterization of Aquilaria essential oils from different species, namely Aquilaria malaccensis, Aquilaria beccariana, Aquilaria crassna, and Aquilaria subintegra, renowned for agarwood production in Malaysia. Gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID) were employed for extracting essential oil data, facilitating compound identification. Subsequently, a preliminary analysis focused on classifying significant chemical compounds in the samples. The study then utilized boxplot pre-processing for visualizing and i
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Kulakova, Irina, and Ermak Erofeev. "AN APPLICATION FOR VISUALIZING DATA USING BOXPLOT." Modern Technologies and Scientific and Technological Progress 2025, no. 1 (2025): 111–12. https://doi.org/10.36629/2686-9896-2025-1-111-112.

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In this paper, we analyze the Boxplot graph as a powerful tool for visualizing the distribution of data, which allows us to estimate the central trend, spread, and outliers. Various graph settings are consid-ered, including the selection of box borders, mustache settings, and the display of the median and arithmetic mean. Understanding these settings helps to interpret data more accurately and make in-formed decisions in the analysis
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Aida, Syakira Ahmad Sabri Noor, Edora Nik Kamaruzaman Nik Fasha, Nurlaila Ismail, et al. "Statistical analysis for chemical compound based on several species of Aquilaria essential oil." Statistical analysis for chemical compound based on several species of Aquilaria essential oil 14, no. 4 (2024): 3663–73. https://doi.org/10.11591/ijece.v14i4.pp3663-3673.

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The paper examines the characterization of Aquilaria essential oils from different species, namely Aquilaria malaccensis, Aquilaria beccariana, Aquilaria crassna, and Aquilaria subintegra, renowned for agarwood production in Malaysia. Gas chromatography-mass spectrometry (GC-MS) and gas chromatography-flame ionization detector (GC-FID) were employed for extracting essential oil data, facilitating compound identification. Subsequently, a preliminary analysis focused on classifying significant chemical compounds in the samples. The study then utilized boxplot&n
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Babura, Babangida Ibrahim, Mohd Bakri Adam, Abdul Rahim Abdul Samad, Anwar Fitrianto, and Bashir Yusif. "Analysis and Assessment of Boxplot Characters for Extreme Data." Journal of Physics: Conference Series 1132 (November 2018): 012078. http://dx.doi.org/10.1088/1742-6596/1132/1/012078.

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Hasnu Al-Hadi, Anis Hazirah 'Izzati, Aqib Fawwaz Mohd Amidon, Siti Mariatul Hazwa Mohd Huzir, et al. "Boxplot analysis of 4 grade agarwood essential oil for various grades." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2022): 238. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp238-244.

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Agarwood essential oil is used in most perfumery ingredients, as an incense and in traditional medical preparations. Agarwood essential oil, called "Black Gold," is extremely valued to the global community due to its numerous benefits. As of now, there is still no standard technique of grading different grades of agarwood essential oil. The current grading technique is inefficient since the agarwood essential oil is graded by using human sensory panel. Different people might have different perspective on grading the agarwood essential oil hence, the technique is not practical to adapt it globa
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Al-Hadi, Anis Hazirah 'Izzati H., Aqib Fawwaz Mohd Amidon, Siti Mariatul Hazwa Mohd Huzir, et al. "Boxplot analysis of 4 grade agarwood essential oil for various grades." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2023): 238–44. https://doi.org/10.11591/ijeecs.v29.i1.pp238-244.

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Agarwood essential oil is used in most perfumery ingredients, as an incense and in traditional medical preparations. Agarwood essential oil, called "Black Gold," is extremely valued to the global community due to its numerous benefits. As of now, there is still no standard technique of grading different grades of agarwood essential oil. The current grading technique is inefficient since the agarwood essential oil is graded by using human sensory panel. Different people might have different perspective on grading the agarwood essential oil hence, the technique is not practical to adap
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Balestra, M., R. Pierdicca, L. Cesaretti, et al. "A COMPARISON OF PRE-PROCESSING APPROACHES FOR REMOTELY SENSED TIME SERIES CLASSIFICATION BASED ON FUNCTIONAL ANALYSIS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (December 5, 2023): 33–40. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-33-2023.

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Abstract. Satellite remote sensing has gained a key role for vegetation mapping distribution. Given the availability of multi-temporal satellite data, seasonal variations in vegetation dynamics can be used trough time series analysis for vegetation distribution mapping. These types of data have a very high variability within them and are subjected by artifacts. Therefore, a pre-processing phase must be performed to properly detect outliers, for data smoothing process and to correctly interpolate the data. In this work, we compare four pre-processing approaches for functional analysis on 4-year
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Fitrianto, Anwar, Wan Zuki Azman Wan Muhamad, Suliana Kriswan, and Budi Susetyo. "Comparing Outlier Detection Methods using Boxplot Generalized Extreme Studentized Deviate and Sequential Fences." Aceh International Journal of Science and Technology 11, no. 1 (2022): 38–45. http://dx.doi.org/10.13170/aijst.11.1.23809.

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Outliers identification is essential in data analysis since it can make wrong inferential statistics. This study aimed to compare the performance of Boxplot, Generalized Extreme Studentized Deviate (Generalized ESD), and Sequential Fences method in identifying outliers. A published dataset was used in the study. Based on preliminary outlier identification, the data did not contain outliers. Each outlier detection method's performance was evaluated by contaminating the original data with few outliers. The contaminations were conducted by replacing the two smallest and largest observations with
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Kayugina, Svetlana. "Quantile analysis of the density of addition and porosity of virgin gray forest soils in the south of the Tyumen region." АгроЭкоИнфо 5, no. 59 (2023): 2. http://dx.doi.org/10.51419/202135502.

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Statistical processing of a large array of data on the density of addition and total porosity of virgin gray forest soils in the south of the Tyumen region was performed. Quantile analysis (boxplot diagrams) was used to estimate the variability of values. It is established that the type of gray forest soils has relatively favorable agrophysical properties. The average density of the humus horizon (A1) in all three subtypes has values that fall within the range of the "optimum" of most agricultural crops. The illuvial horizon of light gray and actually gray forest soils is compacted, therefore,
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Dissertations / Theses on the topic "Boxplot analysis"

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Košíková, Jana. "Základní myšlenky metody Six sigma." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-228208.

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This diploma thesis deals with a Six Sigma method, about especially analysis defects of forms for tire production company Barum Continental. In the first, theoretic part, there is the Six Sigma method, improvement method and implementation into practice defined, and at last I attended to the tools of Six Sigma method, e. g. Control Charts, Regression analysis, Pareto analysis. In the second, practical part, there is the industrial process analyzed. Then I was introduced Barum Continental spol. s.r.o. concern, which data extended. Up to data processing I was used tools of Six Sigma method and a
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Highland, Garth. "Using functional boxplots to visualize reflectance data and distinguish between areas of native grasses and invasive old world bluestems in a Kansas tall grass prairie." Kansas State University, 2012. http://hdl.handle.net/2097/13806.

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Master of Science<br>Department of Statistics<br>Leigh Murray<br>Using remotely sensed reflectance data is an appealing tool for controlling invasive species of grasses by rangeland managers. Recent developments in functional data analysis include the functional boxplot (FBP) which is shown here to be a useful tool in the visualization of reflectance data. Functional boxplots are a novel method of visually inspecting functional data and determining the presence of outliers in the data. Implementation and interpretation of FBPs are both straightforward and intuitive. The goal of this study is t
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Fadrný, Tomáš. "Statistické zhodnocení dat." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-228740.

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This diploma thesis evaluates and processes data from final device checks. All the devices are similar types of thermal overcurrent relays by the ABB company. For appropriate statistical data processing, the Minitab 14 statistical software was used and various statistical methods were applied. Results are always listed for each device type and each method used. The diploma thesis is divided into two parts. The first one analyzes the methods used and the second part states the method results. There is also an overall evaluation of the processed data.
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Hussin, Mahmud M. "Some studies of a graphical method in statistical data analysis : subjective judgments in the interpretation of boxplots." Thesis, Keele University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290317.

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Tsai, Yen-Chin, and 蔡燕津. "Lse of Boxplots For Analysis of Unreplicated Factorials." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/83253121025053749217.

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Books on the topic "Boxplot analysis"

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Li, Quan. Using R for Data Analysis in Social Sciences. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656218.001.0001.

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This book seeks to teach undergraduate and graduate students in social sciences how to use R to manage, visualize, and analyze data in order to answer substantive questions and replicate published findings. This book distinguishes itself from other introductory R or statistics books in three ways. First, targeting an audience rarely exposed to statistical programming, it adopts a minimalist approach and covers only the most important functions and skills in R that one will need for conducting reproducible research projects. Second, it emphasizes meeting the practical needs of students using R
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Book chapters on the topic "Boxplot analysis"

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Riani, M., S. Zani, and A. Corbellini. "Robust Bivariate Boxplots and Visualization of Multivariate Data." In Classification, Data Analysis, and Data Highways. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72087-1_11.

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Navarro, Danielle, and David Foxcroft. "5. Drawing graphs." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.05.

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This chapter explores the fundamental role of data visualisation in the analytical process, highlighting its dual purposes: as a tool for presenting information in an accessible and visually compelling manner, and as an aid to enhance understanding of the data during analysis. Beginning with an iconic example, the chapter revisits John Snow’s 1854 cholera map, illustrating the transformative power of effective visualisation in uncovering insights and driving impactful decisions. The discussion then transitions to practical guidance on creating graphs using the software jamovi, with an emphasis
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Upton, Graham, and Dan Brawn. "Summarizing data." In Data Analysis. Oxford University PressOxford, 2023. http://dx.doi.org/10.1093/oso/9780192885777.003.0002.

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Abstract The data analyst needs to be able to collect information in a compact form. An analyst cannot look at a set of a thousand values on a value-by-value basis. This chapter presents solutions to that situation; it provides a variety of methods for summarising and displaying data. In addition to the simple average value, which statisticians call the mean, alternatives are presented that reduce the influence of any atypical values. In the same way, while the simplest measure of summarising the spread of data values is the range, more useful measures, that take account of all the data values
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Currell, Graham. "Statistical concepts." In Scientific Data Analysis. Oxford University Press, 2015. http://dx.doi.org/10.1093/hesc/9780198712541.003.0002.

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This chapter develops some underlying statistical concepts from the perspective of experimental data, emphasizing the link between experimental variability and the role of statistics in quantifying and managing this variability. It begins by introducing the value of visualizing experimental data through a variety of graphs, including the boxplot for raw data and the interval plot for calculated mean values. The chapter then reviews the key terminology used to describe the factors and variables that influence the scientific system being analysed, before using the histogram to describe data vari
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Mestrinho, Nelson, Joana Ribeiro, Alexandre Pinto, Inês Sarmento, and Xana Sá-Pinto. "Malthus' Principle in the Teaching of Evolution as an Integrative Context of Science and Mathematics in Elementary Education." In Handbook of Research on Interdisciplinarity Between Science and Mathematics in Education. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-5765-8.ch010.

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The Malthus principle, which determines that the natural populations grow at a faster rate than the resources of which they depend, was a crucial concept for Darwin to discover natural selection. A previous study shows that an educational activity between biology and mathematics that explores the Malthus principle, implemented with elementary school students, effectively promoted their understanding of natural selection. In the chapter, the authors analyse the impacts of this activity in students' abilities to solve mathematical problems involving geometric progressions. For that, they applied
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Hawkins, Dawn. "Choosing the right test and graph." In Biomeasurement. Oxford University Press, 2019. http://dx.doi.org/10.1093/hesc/9780198807483.003.0005.

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This chapter details the process of choosing the right test and graph for analysing bioscience data. There are four main reasons for producing graphs: to understand the data; to explore the data for potential patterns; to assess whether the data conform to the assumptions of a particular analysis; and to help communicate the results. The rules for choosing the right graph are less hard and fast than those for choosing the right test. When using graphs for communication, the bottom line is that the graph should communicate the pattern in the data fairly and clearly. The chapter considers freque
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Hawkins, Dawn. "Describing a single sample." In Biomeasurement. Oxford University Press, 2019. http://dx.doi.org/10.1093/hesc/9780198807483.003.0003.

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This chapter discusses how to conduct analyses to describe a single sample of data. We can do this by producing summary numbers, names, tables, or pictures (otherwise known as graphs, charts, or figures). The chapter begins by explaining when and how to calculate descriptive statistics for the central tendency (mean, median, and mode) and variability (range, interquartile range, standard deviation, and variance) of a sample. Descriptive statistics are numbers or names used to summarize the information in a sample. The chapter then considers the attributes, types, and importance of frequency di
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Conference papers on the topic "Boxplot analysis"

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Watson, Matthew. "A Modified Tukey Boxplot for Threshold Analysis: Upper Quartile Parameterization." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11482.

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Current thresholds for condition indicators may be estimated by calculating sample means and then adding a determined number of standard deviations. This approach is based off of a normal distribution which in reality very rarely occurs with the condition indicators of interest. Instead the data follows other distributions that tend to be heavily right skewed with long tails. This approach is also highly susceptible to inflation caused by an unpredictable number of faulted points within the data set. Tukey's boxplot method of adding multiples of the interquartile range to the third quartile is
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Pandey, Rajiv, Nidhi Srivastava, and Shahnaz Fatima. "Extending R Boxplot Analysis to Big Data in Education." In 2015 Fifth International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2015. http://dx.doi.org/10.1109/csnt.2015.73.

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Cunha, Lorena, and Qing Wang. "Sampling Methods for Uncertainty in Life Cycle Cost Analysis in Product Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47116.

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Life cycle cost (LCC) analysis was initiated from the necessity to calculate the cost of products from ‘cradle to grave’. LCC is not a new tool, but its use is still limited and requires further studies, especially concerning all the uncertainty involved. This project seeks to study and understand the difference between the two most common sampling methods utilized to measure this uncertainty: Latin Hypercube sampling (LHS) and Random sampling (also known as Monte Carlo sampling). The LLC model was developed in SEER-H Galorath Software and the samples from two different types of variable and i
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Rocha, Rafael L., Cleison D. Silva, Ana Claudia S. Gomes, et al. "Image Inspection of Railcar Structural Components: An approach through Deep Learning and Discrete Fourier Transform." In VII Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/kdmile.2019.8786.

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Railcar components inspection is one of the most critical tasks in railway maintenance. The use of image processing, coupled with machine learning, has emerged as a solution for replacing current standard methodologies. The spectral analysis gives the frequency representation of a signal and has been largely used in signal processing tasks. In this sense, this work proposes the evaluation of the use of the Discrete Fourier Transform (DFT) in addition to the spatial representation image of railcar components for an automatic detector of defective parts performed by Convolutional Neural Network
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Mihai, Carmen, Alina Florentina Vladu, Alexandra Gabriela Ene, and Laurentiu Dinca. "DATA SET ANALYSIS OF THE COMPOSITE MATERIALS WITH THIN PROFILE USING DESCRIPTIVE STATISTICS." In 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023v/4.2/s19.21.

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Composite materials are widely used in high-tech fields of industry, especially in the aeronautical and aerospace industry, land and water transport. Weight reduction, high creep resistance, very good damping deformations compared to traditional materials, represent some of the advantages for these materials� usage. The studies carried out aim to determine the evolution of the physical-mechanical characteristics of a composite material with a thickness of less than 1 mm, using descriptive statistics techniques. In this context, the following four differentiated systems were tested in the accre
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Jonas, M. "The Application of the Time Series Theory to Processing Data From the SBAS Receiver in Safety Mode." In 2012 Joint Rail Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/jrc2012-74033.

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Before satellite-based augmentation systems (SBAS) such as the Wide Area Augmentation System (WAAS) in the USA, and the European Geostationary Navigation Overlay Service (EGNOS), will be used in railway safety-related applications, it is necessary to determine reliability attributes of these systems as quality measures from the user’s point of view. It is necessary to find new methods of processing data from the SBAS system in accordance with strict railway standards. For this purposes data from the SBAS receiver with the Safety of Life Service was processed by means of the time series theory.
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Md Yusof, Muhammad Aslam, Mohamad Arif Ibrahim, Ismail M. Saaid, Ahmad Kamal Idris, Mazlin Idress, and Muhammad Azfar Mohamed. "Fines Migration During CO2 Injection: A Review of the Phenomenon and New Breakthrough." In SPE Conference at Oman Petroleum & Energy Show. SPE, 2022. http://dx.doi.org/10.2118/200134-ms.

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Abstract Large volume of CO2 injection into the saline aquifer is considered to be the high potential CO2 storage method. Until now, the field of CO2 injectivity has been completely dominated by salt precipitation – and by far the most studied mechanism for the loss of injectivity. In this paper, our aim is to focus on recent findings on CO2 injectivity impairment by fines migration that should not be overlooked. This paper summarizes the state-of-the-art knowledge obtained from theoretical, field studies, and experimental observations on CO2 injectivity impairment by fines migration in saline
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Capitao Patrao, Alexandre, Richard Avellán, Anders Lundbladh, and Tomas Grönstedt. "Wake and Loss Analysis for a Double Bladed Swept Propeller." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56540.

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Inspired by Prandtl’s theory on aircraft wings with minimum induced drag, the authors introduced a double-bladed propeller, the Boxprop, intended for high-speed flight. The basic idea is to join the propeller blades pair-wise at the tip to improve aerodynamics and mechanical properties compared to the conventional propeller. The rather complex geometry of the double blades gives rise to new questions, particularly regarding the aerodynamics. This paper presents a propeller wake energy analysis method which gives a better understanding of the potential performance benefits of the Boxprop and a
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Sammour, Perla C., Ilige S. Hage, Chady Ghnatios, Najib Metni, Re-Mi S. Hage, and Ramsey F. Hamade. "Lower Limb Joint Reaction Forces and Moments Calculations for a “Dabke Jump”: Application of 3D Inverse Dynamics Technique." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-68282.

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Abstract The study involves applying the inverse dynamics to calculate the 3-dimensional (3D) reaction forces and moments at the lower limbs namely: hip, knee, and ankle joints. The study is specific to performing the Lebanese folkloric dance known as the “Dabke jump”. The aim is to compare the impact forces generated at the three joints. Also envisioned is to contrast the forces generated for a male (63 Kg) and a female (50.4 kg) dancer (barefoot and while she wears 8.5 cm high heels). The experimental part of the study consists of measuring position data of the right lower limb of the partic
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Vardasca, R., and R. Ascenso. "Thermal symmetry-Is it a good indicator?" In QIRT. QIRT Council, 2022. http://dx.doi.org/10.21611/qirt.2022.3025.

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The diagnostic of pathological states using thermal images rely in quantitative simple indicators such as thermal symmetry values. It is the aim of this research to investigate whether the thermal symmetry definition is enough to discriminate between healthy and pathological states and overlook other statistical methods in that task. Four images of ankles (1 healthy and 3 pathological) were used as data, 2ROI were analysed. This research proves that the use of thermal symmetry is a poor indicator, boxplot charts and asymmetry coefficients add useful information that must be considered but are
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Reports on the topic "Boxplot analysis"

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Smith, Stephen. Analysis of kettle pond plant communities of Cape Cod National Seashore (1995?2020). National Park Service, 2023. http://dx.doi.org/10.36967/2300645.

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Along transects and within boxplots, several ponds have experienced significant changes in macrophyte species composition since 1995, while others have remained relatively unchanged. In 2020 new occurrences of Phragmites australis (common reed) were documented in Duck (a single plant, which was immediately removed), Gull, and Higgins ponds. Three state-listed rare species that occur in CACO kettle ponds were not found in 2020. These included Sabatia kennedyanna (Plymouth rose gentian) (found in 2016 at Great-T), Drosera filiformis (threadleaf sundew) (found in 2016 at Great-W) and Sagittaria t
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