scholarly journals Nonlinear Fault Separation for Redundancy Process Variables Based on FNN in MKFDA Subspace

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ying-ying Su ◽  
Shan Liang ◽  
Jing-zhe Li ◽  
Xiao-gang Deng ◽  
Tai-fu Li ◽  
...  
Keyword(s):  
Nearest Neighbors ◽  
Nonlinear Process ◽  
Process Industry ◽  
Analysis Method ◽  
Process Variables ◽  
Fisher Criterion ◽  
Tennessee Eastman Process ◽  
Original Process ◽  
Study Results ◽  
False Nearest Neighbors

Nonlinear faults are difficultly separated for amounts of redundancy process variables in process industry. This paper introduces an improved kernel fisher distinguish analysis method (KFDA). All the original process variables with faults are firstly optimally classified in multi-KFDA (MKFDA) subspace to obtain fisher criterion values. Multikernel is used to consider different distributions for variables. Then each variable is eliminated once from original sets, and new projection is computed with the same MKFDA direction. From this, differences between new Fisher criterion values and the original ones are tested. If it changed obviously, the effect of eliminated variable should be much important on faults called false nearest neighbors (FNN). The same test is applied to the remaining variables in turn. Two nonlinear faults crossed in Tennessee Eastman process are separated with lower observation variables for further study. Results show that the method in the paper can eliminate redundant and irrelevant nonlinear process variables as well as enhancing the accuracy of classification.

scholarly journals Parallel implementations of the False Nearest Neighbors method to study the behavior of dynamical models

2010 ◽  
Vol 52 (7-8) ◽  
pp. 1237-1242 ◽  
Author(s):  
I. Marín Carrión ◽  
E. Arias Antúnez ◽  
M.M. Artigao Castillo ◽  
J.J. Miralles Canals
Keyword(s):  
Nearest Neighbors ◽  
Dynamical Models ◽  
Parallel Implementations ◽  
False Nearest Neighbors

scholarly journals A Novel Mutual Information and Partial Least Squares Approach for Quality-Related and Quality-Unrelated Fault Detection

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 166
Author(s):  
Majed Aljunaid ◽  
Yang Tao ◽  
Hongbo Shi
Keyword(s):  
Fault Detection ◽  
Mutual Information ◽  
Least Squares ◽  
Partial Least Squares ◽  
Principal Component ◽  
False Alarms ◽  
Total Quality ◽  
Process Variables ◽  
Tennessee Eastman Process ◽  
Value Decomposition

Partial least squares (PLS) and linear regression methods are widely utilized for quality-related fault detection in industrial processes. Standard PLS decomposes the process variables into principal and residual parts. However, as the principal part still contains many components unrelated to quality, if these components were not removed it could cause many false alarms. Besides, although these components do not affect product quality, they have a great impact on process safety and information about other faults. Removing and discarding these components will lead to a reduction in the detection rate of faults, unrelated to quality. To overcome the drawbacks of Standard PLS, a novel method, MI-PLS (mutual information PLS), is proposed in this paper. The proposed MI-PLS algorithm utilizes mutual information to divide the process variables into selected and residual components, and then uses singular value decomposition (SVD) to further decompose the selected part into quality-related and quality-unrelated components, subsequently constructing quality-related monitoring statistics. To ensure that there is no information loss and that the proposed MI-PLS can be used in quality-related and quality-unrelated fault detection, a principal component analysis (PCA) model is performed on the residual component to obtain its score matrix, which is combined with the quality-unrelated part to obtain the total quality-unrelated monitoring statistics. Finally, the proposed method is applied on a numerical example and Tennessee Eastman process. The proposed MI-PLS has a lower computational load and more robust performance compared with T-PLS and PCR.

scholarly journals THE CONSTRUCTION OF MONSTROUS WOMEN THÉRÈSE DESQUEYROUX BY FRANÇOIS MAURIAC

2021 ◽  
Vol 9 (2) ◽  
pp. 87
Author(s):  
Wulan Nurrahma Azhari ◽  
Wening Udasmoro ◽  
Subiyantoro Subiyantoro
Keyword(s):  
Content Analysis ◽  
Strongly Correlated ◽  
Analysis Method ◽  
Patriarchal System ◽  
Content Analysis Method ◽  
Study Results ◽  
French Culture ◽  
Monstrous Feminine ◽  
Francois Mauriac

Issues of domestication, minority, and discrimination have frequently put women in inferior position in society. When women seek equality, they are often framed as embracing monstrous attitudes. This study focuses on François Mauriac’s novel titled Thérèse Desqueyroux (1927) with the intention of exploring the meanings and the significations in its construction of women as monsters. It has been observed that women are depicted as monsters because their struggle for freedom is seen as a challenge to the patriarchal system. The aims of this study are to find out and to describe the influential aspects in the construction of women as monsters and how such construction creates meanings. The study relies on content analysis method and follows three steps of analysis: collecting data relevant to monstrosity, classifying data based on the themes and problems related to the topic, and analyzing the data using Barbara Creed’s theory of the monstrous feminine (2007). The study results in the finding that the construction of women as monsters is strongly correlated with the deep institutionalization of patriarchy in French culture. Penempatan perempuan pada posisi inferior dalam banyak narasi disebabkan oleh faktor-faktor domestifikasi, minoritas, dan diskriminasi. Ketika perempuan memperjuangkan kesetaraan, mereka dianggap membangkang dan disimbolkan sebagai monster. Konstruksi monster terhadap perempuan ini terlihat pada novel François Mauriac berjudul Thérèse Desqueyroux (1927). Tulisan ini mencoba memahami makna dan pemaknaan konstruksi perempuan sebagai monster dalam novel tersebut. Studi ini menemukan bahwa perempuan digambarkan sebagai monster karena perjuangan mereka untuk mencapai kebebasan dianggap menentang struktur patriarki. Tujuan dari studi ini adalah menemukan dan mendeskripsikan aspek-aspek yang berkaitan dengan proses pemonsteran perempuan dan bagaimana proses tersebut dimaknai. Penelitian ini menggunakan metode analisis isi cerita dan dilakukan dalam beberapa tahap. Tahap pertama adalah pengambilan data yang relevan dengan pemonsteran. Tahap kedua adalah pengklasifikasian data sesuai dengan tema dan permasalahan tentang pemonsteran perempuan. Tahap terakhir adalah analisis data temuan dengan teori Barbara Creed (2007) tentang the monstrous feminine. Studi ini menyimpulkan bahwa konstruksi perempuan sebagai monster berhubungan erat dengan kultur patriarki yang sudah terinstitusionalisasi di dalam budaya Prancis pada masa ketika novel tersebut ditulis.

Pengaruh penanaman modal dalam Negeri, penanaman modal asing dan ekspor terhadap PDRB Provinsi Jambi Periode 2000- 2016

2020 ◽  
Vol 8 (3) ◽  
pp. 155-164
Author(s):  
Tarmizi Tarmizi ◽  
Siti Hodijah ◽  
Rosmeli Rosmeli
Keyword(s):  
Quantitative Analysis ◽  
Foreign Investment ◽  
Descriptive Analysis ◽  
Domestic Investment ◽  
Analysis Method ◽  
Analysis Methods ◽  
Study Results ◽  
Investment Growth

This study aims to analyze the development of GRDP, domestic investment, foreign investment, and exports in Jambi Province for the period 2000-2016, as well as to study the effect of domestic investment, foreign investment, and exports on the growth of GRDP of Jambi Province in the period 2000-2016. 2016. This research uses descriptive and quantitative analysis methods. The descriptive analysis method is used to analyze the development of each research variable, namely domestic investment, foreign investment, and exports. Quantitative analysis methods are used to analyze the effect of domestic investment, foreign investment, and exports on the growth of GRDP in Jambi province for the period 2000-2016. Based on the study results, the Jambi Province GRDP growth for the 2000-2016 period was 7.21 percent, domestic investment growth was 11.64 percent, foreign investment was 18.69 percent, and export development was 17.83 percent. And during the period 2000-2016, domestic investment, foreign investment, and exports had a significant effect on GRDP growth in Jambi Province. Keywords: Domestic investment, Foreign investment, Exports, PDRB Growth

The impact of firm size on competitive intelligence activities

foresight ◽  
2020 ◽  
Vol 22 (5/6) ◽  
pp. 563-577
Author(s):  
Jonathan Calof
Keyword(s):  
Firm Size ◽  
Design Methodology ◽  
Competitive Intelligence ◽  
Full Time ◽  
Business Analytics ◽  
Large Firms ◽  
Process Variables ◽  
Content Type ◽  
Study Results ◽  
The Impact

Purpose Given the importance of competitive intelligence (CI) to the economic performance of firms, understanding whether CI practice is impacted by firm size or by their awareness of CI maybe important when creating programs designed to improve firms’ CI performance. This paper aims to address this by examining the extent to which the CI practices of small and medium-sized enterprises (SMEs) and large firms differed using a sample of firms with knowledge/awareness of CI. Design/methodology/approach A survey was developed that included 10 CI organization questions and 67 CI process questions. The survey was sent to a sample with awareness/knowledge of CI – strategic and CI professionals (SCIP) members and individuals who had attended SCIP events T-tests were then used to compare the SME’s and large firms’ responses to the 10 CI organization and 67 CI process questions. Findings For firms with CI awareness/knowledge, the study results suggest that size has very little relationship with CI practice. Of the 10 CI organization variables, only two were significantly different between the SME’s and the large firms. Large firms had more full-time CI staff and were more likely to have a formal intelligence unit compared to the SME’s. Of the 67 CI process variables, only four were significantly different between the SME’s and the large firms. Large firms made more use of company intranet for distributing CI findings use business analytics software and use commercial databases for information than SME’s while the SME’s used social media, in particular Facebook more than large firms, in their competitive intelligence activities. Originality/value This study uses a sample frame of firms with CI awareness/knowledge in examining differences between SME’s and large firms CI practices.

Predictor homotopy analysis method for nanofluid flow through expanding or contracting gaps with permeable walls

2015 ◽  
Vol 08 (04) ◽  
pp. 1550050 ◽  
Author(s):  
Navid Freidoonimehr ◽  
Behnam Rostami ◽  
Mohammad Mehdi Rashidi
Keyword(s):  
Homotopy Analysis Method ◽  
Volume Fraction ◽  
Expansion Ratio ◽  
Analysis Method ◽  
Nanofluid Flow ◽  
Analytical Technique ◽  
Study Results ◽  
Permeable Walls ◽  
Homotopy Analysis ◽  
Flow Through

In this paper a definitely new analytical technique, predictor homotopy analysis method (PHAM), is employed to solve the problem of two-dimensional nanofluid flow through expanding or contracting gaps with permeable walls. Moreover, comparison of the PHAM results with numerical results obtained by the shooting method coupled with a Runge–Kutta integration method as well as previously published study results demonstrates high accuracy for this technique. The fluid in the channel is water containing different nanoparticles: silver, copper, copper oxide, titanium oxide, and aluminum oxide. The effects of the nanoparticle volume fraction, Reynolds number, wall expansion ratio, and different types of nanoparticles on the flow are discussed.

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