scholarly journals PENGGUNAAN ANALISIS DISKRIMINAN UNTUK KLASIFIKASI SUBPOPULASI BATU PASIR BERDASARKAN KANDUNGAN MINYAK MENTAH

2020 ◽  
Vol 22 (2) ◽  
Author(s):  
Teguh Yuniarko ◽  
Ismi Zuriyatie
Keyword(s):  
Discriminant Analysis ◽  
Aromatic Hydrocarbon ◽  
Crude Oil ◽  
Discriminant Function ◽  
Oil Content ◽  
Classification Result ◽  
Independent Variables ◽  
Vanadium Iron ◽  
Two Populations

The application of discriminant analysis of crude oil content in two populations of sand stone is todetermine the independent variables that could significantly differiantiate between a rock that contains fivevariables, namely crude oil Vanadium, Iron, Beryllium, Hydrocarbon, and Aromatic Hydrocarbon Saturade. Theanalys of data from five independent variables, the variables that can distuingish between the two populations isvariable Saturade sand stone Hydrocarbon, Iron, and Vanadium. Therefore, these three variables used informingthe discriminant function and classification process. The classification result using the SPSS program showed thatthe discriminant function is significant and validation of the discriminant function obtained test classificationaccuracy of 93,9 %.

Analyse discriminante et vocabulaire politique : Essai méthodologique

Res Publica ◽  
1970 ◽  
Vol 34 (1) ◽  
pp. 87-97
Author(s):  
Jacqueline Chapelle ◽  
Pierre Couvreur ◽  
Giuseppe Pagano
Keyword(s):  
Discriminant Analysis ◽  
Discriminant Function ◽  
The Other ◽  
Limited Sample ◽  
Ideological Differences ◽  
French Speaking ◽  
Political Speeches ◽  
Lexical Items

This paper aims at testing the hypothesis of growing ideological uniformity of political speeches. If political speeches lack ideological differences, it should be difficult to re-classify them only by analyzing the presence or absence of lexical items. We first worked out a method to classify political speeches and then carried a test on two speeches by leading Belgian French-speaking politicians.  The method is based on discriminant analysis. It utilizes the words most encountered in one speech and not in the other as discriminant factors. Statistical softwares then assess a discriminant function used to re-classify short parts of each speech called blocks. The most discriminating 10 factors re-classify correctly 89% of the blocks. The percentage increases to 93% with 20 factors and to 98% with 30 factors.However the results should be taken with caution because of the limited sample, the test tends to question the growing uniformity of political speeches. The sampled ones had enough specific features for allowing a rather simpte method to re-classify most parts of them correctly, even if some typically ideological items are not to be found.

Studying demulsifier reactants for crude oil processing facilities

2021 ◽  
pp. 90-104
Author(s):  
L. V. Taranova ◽  
A. G. Mozyrev ◽  
V. G. Gabdrakipova ◽  
A. M. Glazunov
Keyword(s):  
Crude Oil ◽  
Bottom Water ◽  
Oil Content ◽  
Optimal Consumption ◽  
Residual Oil ◽  
Well Production ◽  
Oil Processing ◽  
Water Cut ◽  
Required Quality

The article deals with the issues of improving the quality of highly watered well production fluid processing using chemical demulsifier reactants at crude oil processing facilities; the analysis of the use of the reactants at the Samotlor field has been made. The article presents the results of the study of the effectiveness of the "Hercules 2202 grade A" and "SNPH-4460-2" demulsifiers in comparison with the indicators of oil and bottom water processing achieved in the presence of the reactants used at existing facilities; their optimal consumption has been determined. The study has shown that the selected demulsifiers provide the required quality of the oil and water under processing at the considered oil processing facilities and can be used along with the basic reactants for these facilities. On the basis of total indicators, the best results have been achieved using "Hercules 2202 grade A" with the improved indicators of water cut and residual oil content in water by 33.9 % and 2.8 % while reducing the reactant consumption by 9.7 % compared to the basic demulsifier.

scholarly journals Analysis of Genetic Variation and Enhancement of Salt Tolerance in French Pea (Pisum Sativum L.)

2018 ◽  
Vol 19 (8) ◽  
pp. 2433 ◽  
Author(s):  
Mohamed El-Esawi ◽  
Abdullah Al-Ghamdi ◽  
Hayssam Ali ◽  
Aisha Alayafi ◽  
Jacques Witczak ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Antioxidant Enzymes ◽  
Salt Tolerance ◽  
Pisum Sativum ◽  
Crude Oil ◽  
Oil Content ◽  
High Salinity ◽  
Aflp Markers ◽  
Pisum Sativum L ◽  
Trait Associations

Pisum sativum L. (field pea) is a crop of a high nutritional value and seed oil content. The characterization of pea germplasm is important to improve yield and quality. This study aimed at using fatty acid profiling and amplified fragment length polymorphism (AFLP) markers to evaluate the variation and relationships of 25 accessions of French pea. It also aimed to conduct a marker-trait associations analysis using the crude oil content as the target trait for this analysis, and to investigate whether 5-aminolevulinic acid (ALA) could enhance salt tolerance in the pea germplasm. The percentage of crude oil of the 25 pea genotypes varied from 2.6 to 3.5%, with a mean of 3.04%. Major fatty acids in all of the accessions were linoleic acid. Moreover, the 12 AFLP markers used were polymorphic. The cluster analysis based on fatty acids data or AFLP data divided the 25 pea germplasm into two main clusters. The gene diversity of the AFLP markers varied from 0.21 to 0.58, with a mean of 0.41. Polymorphic information content (PIC) of pea germplasm varied from 0.184 to 0.416 with a mean of 0.321, and their expected heterozygosity (He) varied from 0.212 to 0.477 with a mean of 0.362. The AFLP results revealed that the Nain Ordinaire cultivar has the highest level of genetic variability, whereas Elatius 3 has the lowest level. Three AFLP markers (E-AAC/M-CAA, E-AAC/M-CAC, and E-ACA/M-CAG) were significantly associated with the crude oil content trait. The response of the Nain Ordinaire and Elatius 3 cultivars to high salinity stress was studied. High salinity (150 mM NaCl) slightly reduced the photosynthetic pigments contents in Nain Ordinaire leaves at a non-significant level, however, the pigments contents in the Elatius 3 leaves were significantly reduced by high salinity. Antioxidant enzymes (APX—ascorbate peroxidase; CAT—catalase; and POD—peroxidase) activities were significantly induced in the Nain Ordinaire cultivar, but non-significantly induced in Elatius 3 by high salinity. Priming the salt-stressed Nain Ordinaire and Elatius 3 plants with ALA significantly enhanced the pigments biosynthesis, antioxidant enzymes activities, and stress-related genes expression, as compared to the plants stressed with salt alone. In conclusion, this study is amongst the first investigations that conducted marker-trait associations in pea, and revealed a sort of correlation between the diversity level and salt tolerance.

scholarly journals Application of multivariate techniques in the evaluation of pure lines of beans

2016 ◽  
Vol 46 (9) ◽  
pp. 1535-1541 ◽  
Author(s):  
Rodolfo Schmit ◽  
Rita Carolina de Melo ◽  
Thayse Cristine Vieira Pereira ◽  
Mattheus Beck ◽  
Altamir Frederico Guidolin ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Discriminant Function ◽  
Block Design ◽  
Original Data ◽  
Inbred Lines ◽  
Canonical Discriminant Analysis ◽  
Multivariate Techniques ◽  
Testing Hypotheses ◽  
Randomized Block Design ◽  
Pure Lines

ABSTRACT: The objective of this study was to apply multivariate techniques, canonical discriminant analysis, and multivariate contrasts, indicating the most favorable inferences in the evaluation of pure lines of beans. The study was conducted at the experimental field of the Institute for Breeding and Molecular Genetics, in Lages, SC, Brazil. The experiment was composed of 24 pure lines of beans from the Santa Catarina test of cultivars. Plant height, numbers of pods and grains per plant, and stem diameter were the variables measured. The complete randomized block design was used with four replications. The data were subjected to multivariate analysis of variance, canonical discriminant analysis, multivariate contrasts and univariate contrasts. The first canonical discriminant function has captured 81% of the total variation in the data. The Scott-Knott test showed two groups of inbred lines at the average -of scores of the first canonical discriminant function. It was considered that testing hypotheses with the canonical scores may result in loss of information obtained from the original data. Multivariate contrasts indicated differences within the group formed by the Scott-Knott test. The canonical discriminant analysis and multivariate contrasts are excellent techniques to be combined in the multivariate assessment, being used to explore and test hypotheses, respectively.

scholarly journals Family companies and the costs of governance mechanisms: A discriminant analysis for a sample of Algerian companies

2018 ◽  
Vol 2 (1) ◽  
pp. 51-71
Author(s):  
Mohamed Cherif BENZOUAI
Keyword(s):  
Corporate Governance ◽  
Discriminant Analysis ◽  
Discriminant Function ◽  
Lower Cost ◽  
Agency Problem ◽  
Governance Structure ◽  
Governance Mechanisms ◽  
Corporate Governance Mechanisms ◽  
The Family

This paper aims at shedding light on the importance of corporate governance mechanisms costs when considering the decision of adoption of those mechanisms by companies, by relying on the discriminant analysis of a sample of 112 Algerian unlisted companies. The special nature of the agency problem in family companies allows it to adopt a different and lower cost governance structure than other companies. The study found that the variables that reflect corporate governance mechanisms have a significant effect in the discriminant function between the family companies and the rest of the companies.

Life-Style Distinction Between Customers and Non-Customers of Sikkim Cymbidium

2018 ◽  
pp. 14-26 ◽  
Author(s):  
Ajeya Jha ◽  
Bibeth Sharma ◽  
Jitendra Kumar
Keyword(s):  
Discriminant Analysis ◽  
Discriminant Function ◽  
Life Style ◽  
Final Analysis ◽  
Likert Scale ◽  
Marketing Strategies ◽  
Local Economy ◽  
Strategy Formulation ◽  
Important Input

For marketers, it is a vital to be able to differentiate customers from non-customers for their product. Sikkim a tiny Himalayan state in India is the home of globally known cymbidium orchids. It has been identified as a product that can boost local economy. In order to achieve this, it is important to formulate marketing strategies. One important input in strategy formulation is to prepare a customer profile. This is based on demographic, geographic and psychographic factors. This paper develops a customer profile purely on identified Activities, Interest and Opinions (AIO). Methodology involves collecting data from buyers and non-buyers of Cymbidium orchids about their life-style. Statements were framed on Likert scale (1-5). In all five variables have been tested. Final analysis is based on discriminant analysis. Results indicate a weak discriminant function but 90% respondents are correctly identified as buyers and non-buyers.

The contribution of skills in the interpretation of a volleyball set result with minimum score difference across genders

2020 ◽  
Vol 15 (4) ◽  
pp. 542-551
Author(s):  
Sotirios Drikos ◽  
Konstantinos Sotiropoulos ◽  
Karolina Barzouka ◽  
Yannis Angelonidis
Keyword(s):  
Discriminant Analysis ◽  
Discriminant Function ◽  
Performance Indicators ◽  
Performance Indicator ◽  
Ordinal Scale ◽  
Men And Women ◽  
Score Difference ◽  
Minimum Score ◽  
Women's Volleyball

The aim of the present study was to identify volleyball skills that best discriminate between winning and losing in a set with the minimum score difference of men’s and women’s volleyball. The data have been collected for men from 140 and for women from 98 teams’ performances in all sets finished with 2 points difference between the top four teams in the final ranking during the men’s and women’s Greek Volleyball League for five seasons (2013–2014 until 2017–2018). The primary recorded and evaluated skills from 119 sets for men and women respectively are: 3422 and 2419 serves, 2916 and 2120 passes, 2566 and 1656 attacks after serve’s pass, 1518 and 1804 counter-attacks (after defense) and 1595 and 818 blocks. For the evaluation scale of each skill, a six-level ordinal scale was employed, with the value of “one” indicating a poorly executed skill and the value of “six” an excellent executed skill. The analysis revealed significant multivariate differences in gender and in the type of result and not in their interaction. A follow-up discriminant analysis showed that attack 1 is the most important performance indicator for male teams. Meanwhile, for female teams, the most important performance indicators are winning attack after serve’s pass but also counter-attack. The discriminant function classified correctly 67% and 58%, for men and women respectively, allowing space for further improving the critical performance indicators for both genders.

scholarly journals Marine Oil Spill Detection Based on the Comprehensive Use of Polarimetric SAR Data

2018 ◽  
Vol 10 (12) ◽  
pp. 4408 ◽  
Author(s):  
Yu Li ◽  
Yuanzhi Zhang ◽  
Zifeng Yuan ◽  
Huaqiu Guo ◽  
Hongyuan Pan ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Crude Oil ◽  
Oil Spill ◽  
Sea Surface ◽  
Synthetic Aperture ◽  
Polarimetric Sar ◽  
Classification Result ◽  
Marine Oil ◽  
Oil Spill Detection ◽  
Biogenic Slicks

As a major marine pollution source, oil spills largely threaten the sustainability of the coastal environment. Polarimetric synthetic aperture radar remote sensing has become a promising approach for marine oil spill detection since it could effectively separate crude oil and biogenic look-alikes. However, on the sea surface, the signal to noise ratio of Synthetic Aperture Radar (SAR) backscatter is usually low, especially for cross-polarized channels. In practice, it is necessary to combine the refined detail of slick-sea boundary derived from the co-polarized channel and the highly accurate crude slick/look-alike classification result obtained based on the polarimetric information. In this paper, the architecture for oil spill detection based on polarimetric SAR is proposed and analyzed. The performance of different polarimetric SAR filters for oil spill classification are compared. Polarimetric SAR features are extracted and taken as the input of Staked Auto Encoder (SAE) to achieve high accurate classification between crude oil, biogenic slicks, and clean sea surface. A post-processing method is proposed to combine the classification result derived from SAE and the refined boundary derived from VV channel power image based on special density thresholding (SDT). Experiments were conducted on spaceborne fully polarimetric SAR images where both crude oil and biogenic slicks were presented on the sea surface.

Sign in / Sign up

Export Citation Format

Share Document