scholarly journals Simulation Inquisition of Noise Dissolving Algorithm Hinge on TTSD filter for RIIN Situation

2021 ◽  
Vol 15 (3) ◽  
pp. 278-288
Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant
Keyword(s):  
Standard Deviation ◽  
Normal Distribution ◽  
Impulse Noise ◽  
Noise Characteristic ◽  
Average Value ◽  
The Third ◽  
Random Intensity ◽  
Dense Distribution ◽  
Statistical Detection ◽  
Detection Filter

This primary aim of this philosopher paper investigates the efficacy of the noise dissolving algorithm hinge on TTSD (Triple Threshold Statistical Detection) filter that has been originated since 2018 is one of the highest efficacy for dissolving RIIN (Random-Intensity Impulse Noise), exclusively at dense distribution. As a results, there are three essential contributions: the exhaustive explanation of the TTSD filter algorithm and its computation examples, the calculation simulation of noise apprehension correctness and overall comparative simulation of noise dissolving effectiveness. For TTSD filter, three malleable offsets that are the complementary requirement are employed in the TTSD filter that can adequately resolve the limitation of the antecedent noise dissolving algorithms. The first malleable offset is calculated for determining the noise characteristic of all elements by using the mathematical verification. Next, the second malleable offset is calculated for determining the another noise characteristic by using the normal distribution mathematical verification (the average value and standard deviation value). Later, the third malleable offset is calculated for determining the another noise characteristic by using the quartile mathematical verification (median value). In the simulation inquisition, the bountiful standard portraits that are desecrated by RIIN (Random Intensity Impulse Noise) with many dense distributions are experimented by noise dissolving algorithm hinge on TTSD in both noise segregation and noise dissolving perspective.

scholarly journals The novel noise classification techniques found on quadruple threshold statistical detection filter under fix intensity impulse outlier environment

2021 ◽  
Vol 10 (5) ◽  
pp. 2520-2529
Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant
Keyword(s):  
Performance Evaluation ◽  
Normal Distribution ◽  
The Novel ◽  
Classification Techniques ◽  
Classification Technique ◽  
Noise Classification ◽  
Mean And Variance ◽  
Statistical Detection ◽  
Objective Indicators ◽  
Detection Filter

Because of the enormous necessity of contemporary noise suppressing algorithms, this article proposes the novel noise classification technique found on QTSD filter improved from the TTSD filter. The four thresholds for each auxiliary situations are incorporated into the proposed QTSD framework for dealing with the limitation of the earlier noise classification technique. The mathematical pattern is modeled by each photograph elements and is investigated in contradiction to the 1st threshold for analyzing whether it is non-noise or noise photograph elements. Subsequently, the calculated photograph element is analyzed with the contradiction between the 2nd threshold, which is modeled by using the normal distribution (mean and variance), and is analyzed with the contradiction between the 3rd threshold, which is modeled by using the quartile distribution (median). Finally, the calculated photograph element is investigated in contradiction to the 4th threshold, which is modeled from maximum or minimum value for analyzing whether it is non-noise or noise photograph elements FIIN. For performance evaluation, extensive noisy photographs are made up of nine photographs under FIIN environment distribution, which are synthesized for investigating the proposed noise classification techniques found on QTSD filter in the objective indicators (noise classification, non-noise classification and overall classification correctness). From these results, the proposed noise classification technique can outstandingly produce the higher correctness than the earlier noise classification techniques.

Using Connectionist Modules for Decision Support

1990 ◽  
Vol 29 (03) ◽  
pp. 167-181 ◽  
Author(s):  
G. Hripcsak
Keyword(s):  
Decision Support ◽  
Standard Deviation ◽  
Confidence Interval ◽  
Posterior Probability ◽  
Back Propagation ◽  
Connectionist Model ◽  
Test Set ◽  
The Third ◽  
Independent Test ◽  
Better Than

AbstractA connectionist model for decision support was constructed out of several back-propagation modules. Manifestations serve as input to the model; they may be real-valued, and the confidence in their measurement may be specified. The model produces as its output the posterior probability of disease. The model was trained on 1,000 cases taken from a simulated underlying population with three conditionally independent manifestations. The first manifestation had a linear relationship between value and posterior probability of disease, the second had a stepped relationship, and the third was normally distributed. An independent test set of 30,000 cases showed that the model was better able to estimate the posterior probability of disease (the standard deviation of residuals was 0.046, with a 95% confidence interval of 0.046-0.047) than a model constructed using logistic regression (with a standard deviation of residuals of 0.062, with a 95% confidence interval of 0.062-0.063). The model fitted the normal and stepped manifestations better than the linear one. It accommodated intermediate levels of confidence well.

GESTOGENS IN CORPUS LUTEUM OF CATTLE

1960 ◽  
Vol XXXIII (III) ◽  
pp. 417-427 ◽  
Author(s):  
John Kristoffersen
Keyword(s):  
Corpus Luteum ◽  
Average Value ◽  
Spectrophotometric Methods ◽  
The Third ◽  
Quantitative Measurements ◽  
Before And After ◽  
Luteal Tissue ◽  
In Pregnancy

ABSTRACT By means of chromatographic and spectrophotometric methods progesterone and a substance closely similar to 20β-hydroxy-pregn-4-ene-3-one has been detected in luteal tissue from non-pregnant and pregnant cows. In 21 animals quantitative measurements based on a method giving an average net recovery of 56 per cent showed that in pregnancy the average progesterone content in the corpus luteum reached a maximum in the third to fifth month, with low values before and after this period. For 6 nonpregnant cows, the average value was 20.2 μg/g tissue, which is considerably higher than previous values reported in the literature. The relation between these findings and the bovine dependence on a functional corpus luteum in pregnancy is discussed, and it is pointed out that more information about the metabolism of progesterone in cattle is highly desirable.

Bankruptcy Model Construction and its Limitation in Input Data Quality

2019 ◽  
Vol 10 (2) ◽  
pp. 117-125
Author(s):  
Dana Kubíčková ◽  
◽  
Vladimír Nulíček ◽  
Keyword(s):  
Data Quality ◽  
Normal Distribution ◽  
Input Data ◽  
Model Construction ◽  
The Third ◽  
Third Stage ◽  
Discriminant Analyses ◽  
One Year ◽  
The University ◽  
Multivariate Discriminant

The aim of the research project solved at the University of Finance and administration is to construct a new bankruptcy model. The intention is to use data of the firms that have to cease their activities due to bankruptcy. The most common method for bankruptcy model construction is multivariate discriminant analyses (MDA). It allows to derive the indicators most sensitive to the future companies’ failure as a parts of the bankruptcy model. One of the assumptions for using the MDA method and reassuring the reliable results is the normal distribution and independence of the input data. The results of verification of this assumption as the third stage of the project are presented in this article. We have revealed that this assumption is met only in a few selected indicators. Better results were achieved in the indicators in the set of prosperous companies and one year prior the failure. The selected indicators intended for the bankruptcy model construction thus cannot be considered as suitable for using the MDA method.

PENGARUH TERAPI BACK MASSAGE TERHADAP PENURUNAN TINGKAT NYERI PADA PENDERITA RHEUMATOID ARTHRITIS DI DESA RAJADESA KECAMATAN RAJADESA KABUPATEN CIAMIS TAHUN 2018

2019 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Daniel Akbar Wibowo ◽  
Dini Nurbaeti Zen ◽  
Yalis Agustina
Keyword(s):  
Rheumatoid Arthritis ◽  
Standard Deviation ◽  
Muscle Tension ◽  
Massage Therapy ◽  
Sampling Technique ◽  
Total Sample ◽  
Measurement Tool ◽  
Pain Level ◽  
Average Value ◽  
Back Massage

Disease that is often complained by the public today one of the pain in the bone, which is better known by the community with rheumatism. Rheumatism or rheumatoid arthritis is a systemic, progressive, chronic and tendonic inflammatory disease of joints and connective tissue symmetrically. One way of management of rheumatoid arthritis pain is back massage therapy. Back Massage is one of the techniques to give massage action on the back with lotions/balm for 10-15 minutes, the warm sensation leads to vasodilation of blood vessels that will improve blood circulation in the area so that the activity of the cell is increased and will reduce pain, increase comfort, reduce muscle tension and improve physical and psychological relaxation. This study aims to determine the effect of Back massage therapy to decrease the pain level of rheumatoid arthritis patients in Rajadesa Village Rajadesa Sub District Ciamis District in 2018. Type of research using Quasi Experiment Design with one group pretest-posttest design. Total sample 48 respondents with total sampling technique. Data collection using experimental method with VDS (Verbal Descriptor Scale) pain rate measurement tool. The result of statistical test by using Linear Regression shows Sig = 0,000 <0,05, t value = 18,935> 2,012. Then Ha is accepted, and the average value before therapy is 3.27 with a standard deviation of 0.818, whereas after therapy is 2.23 with a standard deviation of 0.881, meaning there is the effect of back massage therapy on the decrease of pain level in patients with rheumatoid arthritis. So to reduce pain in patients with rheumatoid arthritis can be given back massage therapy.

PENGARUH MODEL PEMBELAJARAN KELILING KELOMPOK (ROUND CLUB) TERHADAP KETERAMPILAN MENULIS LAPORAN PERJALANAN SISWA KELAS V SDN 01 NAGARI BUKIK SIKUMPA

2020 ◽  
Author(s):  
Wirda Linda
Keyword(s):  
Standard Deviation ◽  
Performance Test ◽  
Writing Skills ◽  
Learning Model ◽  
Homogeneity Test ◽  
Test Results ◽  
Class V ◽  
Average Value ◽  
Normality Test ◽  
Lecture Method

This research is motivated by the low desire of students in writing travel reports. The lack of students' knowledge of the report concept, the lack of students' knowledge of the 5W + 1H report points of good and correct language, the lack of students' knowledge of the spatial, time and topic pattern and not yet reached KKM 75. The method used by the teacher has not been interesting, lecture method. The purpose of this study is to describe the skills of writing travel reports by using Round Club learning model which is viewed from the aspect of understanding the report concept, the use of 5W +1H report points, the spatial, time, and topic pattern.The population of this study is the students of class V Lessons Year 2017/2018 which amounted to 2 classes with the number 80. The sample of research as much as two classes taken by the sample of propotional.Class V.1 as experimental class and class V.2 as control class. The research instrument used is performance test. Provide an assessment by specifying the subject of the 5W + 1H report, as well as the spatial, time and topic pattern. Data were analyzed by 't' test by first testing normality, homogeneity, and hypothesis testing.The results showed that the average control class 68 with more than enough qualifications with standard deviation 16.96. 83 experimental class with good qualification and standard deviation of 15.42 and there is a significant influence on the result of writing skill of class V SDN 01 Nagari Bukik SikumpaSubdistrict, Lima Puluh Kota. This is evidenced by the average value of writing skills in the experiment class higher than the average value in the control class. Normality test results indicate that the two sample classes of  Lo  values in the control class -0.2141 are smaller than the normal 0.190 Lt distributed. Homogeneity test results that the variation of this study is homogeneous at a real level of 0.05, because Ftable 2.16 > Fhitung 1.21 and the results of data analysis then obtained = 2.78 > 1.70 t table, so H0 rejected and H1 accepted. It can be concluded that there is Influence. Using  Learning  Model of Student Group Writing  Skills Travel Report of students of class V SDN 01 Nagari Bukik Sikumpa Subdistrict, Kabupaten Lima Puluh Kota.KeyWords: model pembelajaran round club, menulis laporan perjalanan.

scholarly journals Normal approximation for mixtures of normal distributions and the evolution of phenotypic traits

2021 ◽  
Vol 53 (1) ◽  
pp. 162-188
Author(s):  
Krzysztof Bartoszek ◽  
Torkel Erhardsson
Keyword(s):  
Normal Distribution ◽  
Phenotypic Trait ◽  
Phenotypic Traits ◽  
Normal Distributions ◽  
Average Value ◽  
Conditional Moments ◽  
Mixture Of Normal Distributions ◽  
Explicit Bounds ◽  
Mixtures Of Normal Distributions ◽  
Parameter Values

AbstractExplicit bounds are given for the Kolmogorov and Wasserstein distances between a mixture of normal distributions, by which we mean that the conditional distribution given some $\sigma$ -algebra is normal, and a normal distribution with properly chosen parameter values. The bounds depend only on the first two moments of the first two conditional moments given the $\sigma$ -algebra. The proof is based on Stein’s method. As an application, we consider the Yule–Ornstein–Uhlenbeck model, used in the field of phylogenetic comparative methods. We obtain bounds for both distances between the distribution of the average value of a phenotypic trait over n related species, and a normal distribution. The bounds imply and extend earlier limit theorems by Bartoszek and Sagitov.

EFFECT OF ZINK TABLETS INTERVENTION IN ZINC DEFICIENCY OF TRIMESTER III PREGNANT WOMEN TOWARD WEIGHT AND BODY LENGTH OF NEWBORN

2021 ◽  
Vol 10 (2) ◽  
pp. 304-312
Author(s):  
Nurfadillah S ◽  
Wardihan Sinrang ◽  
Suryani As'ad ◽  
Muh. Nasrum Massi ◽  
Mardiana Ahmad ◽  
...  
Keyword(s):  
Birth Weight ◽  
Pregnant Women ◽  
Zinc Deficiency ◽  
Birth Length ◽  
World Health ◽  
Third Trimester ◽  
Average Value ◽  
The Third ◽  
A Value ◽  
Zinc Levels

Background: According to 2018 World Health Organization (WHO) data globally, an estimated 17.3% of the population has inadequate zinc intake, with estimates ranging from 5.7% in Oceania to 7.6% in Europe, 9.6% in America and the Caribbean, highest in Africa (23.9%) and Asia (19.6%). Zinc is important for the function of a number of enzymes and growth hormones during pregnancy. In pregnant women, the relative zinc concentration decreases up to 35% due to the influence of hormonal changes and the transport of nutrients from mother to baby. Objectives: The purpose of this study was to identify the effect of giving zinc tablets to pregnant women with zinc deficiency in the third trimester on body weight and length of babies born at the Makassar City Health Center. Methods: This type of research is True Experimental with a pretest-posttest design with a control group. The sample in this study was 62 samples of third trimester pregnant women, and the sampling technique used was purposive sampling. Measurement of zinc levels in third trimester pregnant women using the Elisa reader kit at the Research Laboratory of the Hasanuddin University Teaching Hospital. The research instruments were in the form of a research explanation sheet, respondent's consent sheet, respondent's checklist sheet, and the mother's zinc tablet consumption control sheet for 14 days. Results: Judging from the average value of newborns in pregnant women who did not have zinc deficiency, the average value of birth weight in pregnant women with zinc deficiency was 15.70 g/dL and 18.95 g/dL. zinc deficiency with a value (p < 0.05), while pregnant women with zinc deficiency have an average birth length of 10.00 g/dL and mothers who do not have a deficiency of 19.87 g/dL with a value (p < 0.05). So, it can be concluded that giving zinc tablets to pregnant women in the third trimester has an effect on Birth Weight (BBL) and Birth Length (PBL). Conclusion: Giving zinc tablets has an effect on increasing zinc levels in third trimester zinc deficiency pregnant women and increasing birth weight and length of the baby.  

scholarly journals Design of a New Synthetic Acceptance Sampling Plan

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 653 ◽  
Author(s):  
Saeed Dobbah ◽  
Muhammad Aslam ◽  
Khushnoor Khan
Keyword(s):  
Standard Deviation ◽  
Normal Distribution ◽  
Operating Characteristic ◽  
Linear Optimization ◽  
Sampling Plan ◽  
Quality Characteristic ◽  
Acceptance Sampling ◽  
Acceptance Sampling Plan ◽  
Non Linear

In this paper, we propose a new synthetic sampling plan assuming that the quality characteristic follows the normal distribution with known and unknown standard deviation. The proposed plan is given and the operating characteristic (OC) function is derived to measure the performance of the proposed sampling plan for some fixed parameters. The parameters of the proposed sampling plan are determined using non-linear optimization solution. A real example is added to explain the use of the proposed plan by industry.

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