COMPONENT ANALYSIS SYSTEM-FORMING FACTORS OF GEOSYSTEMS OF PAVLODAR REGION

2021 ◽  
Vol 102 (3) ◽  
pp. 36-43
Author(s):  
Zh.O. Ozgeldinova ◽  
◽  
E.B. Usalinov ◽  
А.А. Zhanguzhina ◽  
N.E Ramazanova ◽  
...  
Keyword(s):  
River Runoff ◽  
System Analysis ◽  
Interpolation Method ◽  
Component Analysis ◽  
Annual Runoff ◽  
Nature Management ◽  
Radiation Balance ◽  
Analysis Model ◽  
Average Slope ◽  
Spatial Interpolation Method

The article presents the results of identifying the system-forming factors of geosystems and their hierarchy in the Pavlodar region on the basis of the component analysis model, which allow us to obtain data on the structure of the relationships of parameters for the formation of information about the current state and forecast of the dynamics of geosystems in the development of the optimal structure of nature management. Separate quantitative indicators of geosystems obtained on the basis of cartographic materials, using the spatial interpolation method, are considered, and numerical values of the following parameters are used as initial data: duration of sunshine, radiation balance, average annual precipitation, average annual river runoff, maximum river runoff, coefficient of variation or variability of annual runoff, turbidity, average slope, average slope exposure, average NDVI value, etc.. In the calculation of the value matrix in geosystems, the "FACTOR" software is used to build components (programmer T. F. Savina on algorithms of L. M. Pavlichenko). Based on the analysis of scientific papers, the possibility of component analysis to combine statistical modeling and system analysis of specific objects (geosystems) is shown. The use of system analysis in the construction of component analysis is demonstrated, which allows you to identify the functions of the geosystem and rank them by their contribution to the total variance of the system, taking into account the nature of the relationship and self-organization of the system.

Study on the Effect Factors of Non-Perormance Loan Ratio of Chinese Commerical Banks

2011 ◽  
Vol 50-51 ◽  
pp. 728-732
Author(s):  
Ping Li ◽  
Ming Ying Zhuo ◽  
Li Chao Feng ◽  
Rui Zhang
Keyword(s):  
Principal Component Analysis ◽  
Commercial Banks ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Analysis Model ◽  
Principal Component Analysis Model ◽  
Effect Factors ◽  
Financial Indicator ◽  
Commerical Banks

Non-performance loan ratio is one of the important assessment criteria of the security of credit assets. It is also an important financial indicator to evaluate the general strength of commercial banks. Using principal component analysis method and statistical software SPSS16.0 and based on the non-performance loan ratio and relative data of some commercial banks in China in 2007, this paper provided a principal component analysis model for the non-performance loan ratio of China’s commercial banks. The factors that affect the non-performance loan ratio were refined in this paper. Finally, the characteristics of effect factors of each bank were analyzed and compared in detail.

Spatial Simulation of Precipitation Resources in Chongqing

2012 ◽  
Vol 518-523 ◽  
pp. 4261-4265
Author(s):  
Xiao Song Lin ◽  
Sha Sha Yu ◽  
Hai Yan Wang
Keyword(s):  
Spatial Distribution ◽  
Spatial Interpolation ◽  
Regional Difference ◽  
Interpolation Method ◽  
Annual Precipitation ◽  
Regression Equations ◽  
Spatial Simulation ◽  
Simulation Data ◽  
Spatial Interpolation Method ◽  
Precise Simulation

Years’ precipitation data of Chongqing from 101 metrological stations has been adopted in the paper and the regression equations between annual precipitation and altitude, longitude, and height have been obtained by the use of SPSS, then elaborate simulation of Chongqing’s precipitation resources based on regression analysis was completed through the 1km×1km grid system and fitted equation. Elaborated simulation of precipitation resources was realized by best spatial interpolation method with the support of GIS; then the results of two different simulation methods were coupled in the form of linear combination to obtain the coupling simulation of spatial distribution of Chongqing’s precipitation resources, finally the precipitation resources were summed up and distributed according to different administration areas at county level and thus obtain precise simulation data of precipitation resources in each county of Chongqing. The results showed that there is a remarkable regional difference in the spatial distribution of precipitation resources of Chongqing, and it decreases from the southeast to the northwest in general, with the annual precipitation higher than 1270mm in southeast and lower than 1080mm in northwest.

INFLUENCE OF LARGE-SCALE ATMOSPHERIC PROCESSES ON SEASONAL RUNOFF OF LARGE SIBERIAN RIVERS

2021 ◽  
pp. 36-47
Author(s):  
L. N. VASILEVSKAYA ◽  
◽  
I. A. LISINA ◽  
D. N. VASILEVSKII ◽  
◽  
...  
Keyword(s):  
Atmospheric Circulation ◽  
River Runoff ◽  
Large Scale ◽  
Annual Runoff ◽  
Spring Flood ◽  
Atmospheric Circulation Indices ◽  
Rate Of Increase ◽  
Circulation Indices ◽  
Seasonal Runoff ◽  
Kolyma River

Based on daily runoff volumes of four large Siberian rivers (the Ob, Yenisei, Lena, and Kolyma) for 1936-2018, the regime and changes in the total annual and seasonal runoff are analyzed. High synchronous and asynchronous correlations between monthly river runoff and atmospheric circulation indices of hemispheric and regional scales are revealed. In recent decades, the total annual runoff and its variations have increased (the rate of increase is most pronounced for the Kolyma River). A change in water content within a year is heterogeneous: weak positive trends are characteristic of the spring flood runoff and the summer-autumn period, and a significant increase occurred in the winter months. High correlations with a 1-8-month shift made it possible to identify the most informative regions, the atmospheric circulation over which makes a certain contribution to the variance of river runoff.

Fault and System Analysis Model of Voltage Source Control Based HVDC Transmission System

2021 ◽  
Author(s):  
Fahim Shahriyar ◽  
Monirul Islam ◽  
Arindom Chakraborty ◽  
Mehedi Hasan ◽  
Hasan U. Zaman ◽  
...  
Keyword(s):  
System Analysis ◽  
Transmission System ◽  
Source Control ◽  
Voltage Source ◽  
Analysis Model ◽  
Hvdc Transmission

DATA RECOVERY OF ANNUAL RIVER RUNOFF IN THE SYRDARYA RIVER BASIN

2021 ◽  
Vol 100 (1) ◽  
pp. 17-26
Author(s):  
T. Kazakbayeva ◽  
Keyword(s):  
River Basin ◽  
River Runoff ◽  
Annual Runoff ◽  
Data Recovery ◽  
Base Period ◽  
Quantitative Estimates ◽  
Integral Curves ◽  
Analogue Method ◽  
Runoff Rate ◽  
Variability Index

The data recovery of the annual runoff was carried out and correlation dependences were obtained, which were used to calculate the runoff rate for each of the selected rivers in the Syrdariya river basin. Differential integral curves were constructed from the runoff data using the variability index. When restoring the missing data on the annual runoff, the river-analogue method was applied. The actual series of observations are given for a longterm period. The base period was chosen from 1960 to 2015. Quantitative estimates of the effectiveness of bringing the average values to a multi-year period are also provided.

An ICA Algorithm Based on Symmetric and Asymmetric Generalized Gaussian Model

2011 ◽  
Vol 204-210 ◽  
pp. 470-475
Author(s):  
Feng Zhao ◽  
Yun Jie Zhang ◽  
Min Cai
Keyword(s):  
Independent Component Analysis ◽  
Gradient Method ◽  
Gaussian Model ◽  
Component Analysis ◽  
Independent Component ◽  
Blind Signal Separation ◽  
Natural Gradient ◽  
Analysis Model ◽  
Practical Applications ◽  
Source Signal

Maximum likelihood estimation is a very popular method to estimate the independent component analysis model because of good performance. Independent component analysis algorithm (the natural gradient method) based on this method is widely used in the field of blind signal separation. It potentially assumes that the source signal was symmetrical distribution, in fact in practical applications, source signals may be asymmetric. This article by distinguishing that the source signal is symmetrical or asymmetrical, proposes an improved natural gradient method based on symmetric generalized Gaussian model (People usually call generalized Gaussian model) and asymmetric generalized Gaussian model. The random mixed-signal simulation results show that the improved algorithm is better than the natural gradient separation method.

scholarly journals Non-negative Independent Factor Analysis for single cell RNA-seq

2020 ◽  
Author(s):  
Weiguang Mao ◽  
Maziyar Baran Pouyan ◽  
Dennis Kostka ◽  
Maria Chikina
Keyword(s):  
Factor Analysis ◽  
Single Cell ◽  
Matrix Factorization ◽  
Component Analysis ◽  
Computational Techniques ◽  
Cell Type ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Type Identity ◽  
Wide Range

AbstractMotivationSingle cell RNA sequencing (scRNA-seq) enables transcriptional profiling at the level of individual cells. With the emergence of high-throughput platforms datasets comprising tens of thousands or more cells have become routine, and the technology is having an impact across a wide range of biomedical subject areas. However, scRNA-seq data are high-dimensional and affected by noise, so that scalable and robust computational techniques are needed for meaningful analysis, visualization and interpretation. Specifically, a range of matrix factorization techniques have been employed to aid scRNA-seq data analysis. In this context we note that sources contributing to biological variability between cells can be discrete (or multi-modal, for instance cell-types), or continuous (e.g. pathway activity). However, no current matrix factorization approach is set up to jointly infer such mixed sources of variability.ResultsTo address this shortcoming, we present a new probabilistic single-cell factor analysis model, Non-negative Independent Factor Analysis (NIFA), that combines features of complementary approaches like Independent Component Analysis (ICA), Principal Component Analysis (PCA), and Non-negative Matrix Factorization (NMF). NIFA simultaneously models uni- and multi-modal latent factors and can so isolate discrete cell-type identity and continuous pathway-level variations into separate components. Similar to NMF, NIFA constrains factor loadings to be non-negative in order to increase biological interpretability. We apply our approach to a range of data sets where cell-type identity is known, and we show that NIFA-derived factors outperform results from ICA, PCA and NMF in terms of cell-type identification and biological interpretability. Studying an immunotherapy dataset in detail, we show that NIFA identifies biomedically meaningful sources of variation, derive an improved expression signature for regulatory T-cells, and identify a novel myeloid cell subtype associated with treatment response. Overall, NIFA is a general approach advancing scRNA-seq analysis capabilities and it allows researchers to better take advantage of their data. NIFA is available at https://github.com/wgmao/[email protected]

scholarly journals Metode Pieces Framework Pada Tingkat Kepuasan Pengguna Sistem Informasi Perpustakaan Universitas Muhammadiyah Sorong

2021 ◽  
Vol 8 (1) ◽  
pp. 63
Author(s):  
Muzakkir Pangri ◽  
Sunardi Sunardi ◽  
Rusydi Umar
Keyword(s):  
Information System ◽  
Information Systems ◽  
User Satisfaction ◽  
System Analysis ◽  
Performance Information ◽  
Analysis Model ◽  
Framework Analysis ◽  
Campus Environment ◽  
Level Of Satisfaction ◽  
Domain Performance

Abstrak: Sistem informasi mempunyai peran penting dalam menghasilkan informasi bagi semua tingkatan manajemen. Analis perlu mengetahui keperluan informasi yang diinginkan manajemen agar informasi yang dihasilkan oleh sistem informasi dapat berfungsi dan tepat bagi manajemen. Proses evaluasi terhadap kinerja dari sistem informasi diperlukan untuk mengetahui apakah sistem informasi Universitas Muhammadiyah Sorong berjalan sebagaimana mestinya. Evaluasi sistem informasi dapat dilakukan dengan cara yang berbeda dan pada tingkatan yang berbeda, tergantung pada tujuan evaluasinya. Dalam melakukan kegiatan analisis dan evaluasi sistem informasi, terdapat beberapa metode atau model analisis yang dapat digunakan salah satunya adalah model analisis PIECES Framework. Untuk mempermudah evaluasi, ditawarkan cara analisis dengan kerangka PIECES Framework yang menguraikan ke dalam 6 fokus analisis kelemahan yaitu Performance, Information and Data, Economy, Control and Security, Eficiency dan Service. Tujuan penelitan ini untuk mengukur tingkat kepuasan, mengetahui kelemahan serta kekuatan dan menganalisis komponen-komponen yang diperlukan untuk meningkatkan kualitas pelayanan, yang terdapat pada sistem informasi perpustakaan Universitas Muhammadiyah Sorong. Berdasarkan hasil perhitungan daftar pernyataan yang diberikan kepada responden yang merupakan pengguna sistem informasi perpustakaan Universitas Muhammadiyah Sorong, domain Performance, Information & Data, Economics, Control & Security, Efficiency, dan Service, semua berada pada kategori puas, artinya penerapan sistem informasi perpustakaan Universitas Muhammadiyah Sorong, yang saat ini digunakan dilingkungan Kampus sudah dapat diterima sesuai dengan kerangka PIECES Framework.   Kata kunci: kepuasan pengguna, PIECES Framework, website.   Abstract: Information systems have an important role in producing information for all levels of management. Analysts need to know necessity of the information that management wants so that the information generated by the information system can function and be appropriate for management. The process of evaluating performance of the information system is needed to determine whether the information system at the University of Muhammadiyah Sorong is running as it should. Information systems evaluation can be carried out in different ways and at different levels, depending on objective of the evaluation. In carrying out information system analysis and evaluation activities, there are several methods or analysis models that can be used, one of which is the PIECES Framework analysis model. To simplify the evaluation, an analysis method is offered with the PIECES Framework which describes the 6 focus of weakness analysis, that are Performance, Information and Data, Economy, Control and Security, Efficiency and Service. The purpose of this research is to measure the level of satisfaction, find out the strengths, weaknesses and analyze the components that need to be improved the quality of service, which is contained in the library information system of the Muhammadiyah University of Sorong. Based on the results of the calculation of the list of statements given to respondents who are users of the library information system at the Muhammadiyah University of Sorong, the domain of Performance, Information & Data, Economics, Control & Security, Efficiency and Service, all of in the satisfied category, meaning that the application of the library information system at the Muhammadiyah University of Sorong , which is currently being used in the campus environment is acceptable in accordance with the PIECES Framework.   Keywords: user satisfaction, PIECES Framework, website.

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